Research Area Publications by Year
2013
Attribute Based Object Identification
Y. Sun, L. Bo, D. Fox, IEEE International Conference on Robotics and Automation (ICRA), 2013.
Downloads: PDF
Compact RGBD surface models based on sparse coding
M. Ruhnke, L. Bo, D. Fox, D. Burgard, Proc. of the AAAI Conference on Artificial Intelligence, 2013.
Downloads: PDF
RGB-D Flow: Dense 3-D Motion Estimation Using Color and Depth
E. Herbst, X. Ren, D. Fox, IEEE International Conference on Robotics and Automation (ICRA), 2013.
Downloads: PDF
Structured sparse learning of multiple Gaussian graphical model
K. Mohan, M. Chung, S. Han, D. Witten, S.I. Lee, M. Fazel, Advances in Neural Information Processing Systems (NIPS), 2013.
2012
DuploTrack: A Realtime System for Authoring and Guiding Duplo Block Assembly
A. Gupta, D. Fox, B. Curless, M. Cohen, ACM Symposium on User Interface Software and Technology (UIST), 2012.
Downloads: PDF Project page
Discovering Hidden Structure in Factored MDPs
A. Kolobov, Mausam, D.S. Weld, Artificial Intelligence 189, 2012.
CoSolve: A System for Engaging Users in Computer-Supported Collaborative Problem Solving
S.B. Fan, T. Robison, S.L. Tanimoto, Int'l. Symp. on Visual Languages and Human-Centric Computing, 2012.
Entity Linking at Web Scale
T. Lin, Mausam, O. Etzioni, Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012.
A Joint Model of Language and Perception for Grounded Attribute Learning
C. Matuszek, N. FitzGerald, L. Zettlemoyer, L. Bo, D. Fox, Proceedings of the International Conference on Machine Learning (ICML), 2012.
Downloads: PDF
Learning to Parse Natural Language Commands to a Robot Control System
C. Matuszek, E. Herbst, L. Zettlemoyer, D. Fox, International Symposium on Experimental Robotics (ISER), 2012.
Downloads: PDF
Rel-grams: A Probabilistic Model of Relations in Text
N. Balasubramanian, S. Soderland, Mausam, O. Etzioni, Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX) at NAACL, 2012.
Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors
A. Kolobov, P. Dai, Mausam, D.S. Weld, ICAPS, 2012.
3D Object Retrieval Using Salient Views
I. Atmosukarto, L.G. Shapiro, International Journal of Multimedia Information Retrieval, 2012.
Discriminative Learning for Joint Template Filling
E. Minkov, L. Zettlemoyer, Proceedings of the Association for Computational Linguistics (ACL), 2012.
No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities
T. Lin, Mausam, O. Etzioni, Conference on Empirical Methods in Natural Language Processing, 2012.
Open Language Learning for Information Extraction
Mausam, M. Schmitz, R. Bart, S. Soderland, O. Etzioni, Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CONLL), 2012.
A Theory of Goal-Oriented MDPs with Dead Ends
A. Kolobov, Mausam, D. Weld, Conference on Uncertainty in Artificial Intelligence (UAI), 2012.
Crowdsourcing Control: Moving Beyond Multiple Choice
C.H. Lin, Mausam, D.S. Weld, Conference on Uncertainty in Artificial Intelligence, 2012.
A Few Useful Things to Know about Machine Learning
P. Domingos, Communications of the ACM 55:10, 2012.
A Tractable First-Order Probabilistic Logic
P. Domingos, A. Webb, Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012.
Counting-MLNs: Learning Relational Structure for Decision Making
A. Nath, M. Richardson, AAAI Conference on Artificial Intelligence, 2012.
Learning Multiple Hierarchical Relational Clusterings
A. Nath, P. Domingos, ICML-12 Workshop on Statistical Relational Learning, 2012.
Learning STRIPS Operators from Noisy and Incomplete Observations
K. Mourão, L.S. Zettlemoyer, R.P.A. Petrick, M. Steedman, Conference on Uncertainty in Artificial Intelligence (UAI) abs/1210.4889, 2012.
LRTDP vs. UCT for Online Probabilistic Planning
A. Kolobov, Mausam, D.S. Weld, AAAI Conference on Artificial Intelligence, 2012.
ReGroup: Interactive Machine Learning for On-Demand Group Creation in Social Networks
S. Amershi, J. Fogarty, D.S. Weld, Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI-12), 2012.
RevMiner: an extractive interface for navigating reviews on a smartphone
J. Huang, O. Etzioni, L. Zettlemoyer, K. Clark, C. Lee, Proceedings of the 25th annual ACM symposium on User interface software and technology (UIST), ACM, 2012.
2011
Classification and Semantic Mapping of Urban Environments
B. Douillard, D. Fox, F. Ramos, H. Durrant-Whyte, International Journal of Robotics Research 30:1, 2011.
Downloads: PDF
Gambit: An Autonomous Chess Playing Manipulator
C. Matuszek, B. Mayton, R. Aimi, L. Bo, M. Deisenroth, R. Chu, M. Kung, L. LeGrand, J. Smith, D. Fox, ICRA, 2011.
Downloads: PDF
Online Structure Learning for Markov Logic Networks
T. Huynh, R. Mooney, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011.
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees
J. Gonzalez, Y. Low, A. Gretton, C. Guestrin, 14th International Conference on Artificial Intelligence and Statistics, 2011.
PILCO: A Model-Based and Data-Efficient Approach to Policy Search
M. Deisenroth, C. Rasmussen, International Conference on Machine Learning, 2011.
Artificial Intelligence for Artificial Artificial Intelligence
P. Dai, Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2011.
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
C. Kiddon, P. Domingos, AAAI Conference on Artificial Intelligence, 2011.
Effective End-User Interaction with Machine Learning
S. Amershi, J. Fogarty, A. Kapoor, D. Tan, AAAI Conference on Artificial Intelligence, 2011.
Human Intelligence Needs Artificial Intelligence
D. Weld, Mausam, P. Dai, Human Computation Workshop, 2011.
A Hierarchical Architecture for Adaptive Brain-Computer Interfacing
Mike Chung, W. Cheung, R. Scherer, R. Rao, International Joint Conference on Artificial Intelligence, 2011.
Bootstrapping Semantic Parsers from Conversations
Y. Artzi, L. Zettlemoyer, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2011.
Data-Driven Response Generation in Social Media
A. Ritter, C. Cherry, B. Dolan, Conference on Empirical Methods in Natural Language Processing, 2011.
Gaze Following as Goal Inference: A Bayesian Model
A. Friesen, R. Rao, Conference of the Cognitive Science Society, 2011.
Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage
S. Amershi, B. Lee, A. Kapoor, R. Mahajan, B. Christian, International Joint Conference on Artificial Intelligence, 2011.
Identifying Relations for Open Information Extraction
A. Fader, S. Soderland, O. Etzioni, Conference on Empirical Methods in Natural Language Processing, 2011.
Named Entity Recognition in Tweets: An Experimental Study
A. Ritter, S. Clark, Mausam, O. Etzioni, Conference on Empirical Methods in Natural Language Processing, 2011.
Open Information Extraction: the Second Generation
O. Etzioni, A. Fader, J. Christensen, S. Soderland, Mausam, International Joint Conference on Artificial Intelligence, 2011.
Using Multiple Models to Understand Data
K. Patel, S. Drucker, J. Fogarty, A. Kapoor, D. Tan, International Joint Conference on Artificial Intelligence, 2011.
A Class of Submodular Functions for Document Summarization
H. Lin, J. Bilmes, Annual Meeting of the Association for Computational Linguistics, 2011.
A General Perspective on Gaussian Filtering and Smoothing: Explaining Current and Deriving new Algorithms
M. Deisenroth, H. Ohlsson, American Control Conference, 2011.
An Analysis of Open Information Extraction based on Semantic Role Labeling
J. Christensen, Mausam, S. Soderland, O. Etzioni, International Conference on Knowledge Capture, 2011.
Heuristic Search for Generalized Stochastic Shortest Path MDPs
A. Kolobov, Mausam, D. Weld, H. Geffner, International Conference on Automated Planning and Scheduling, 2011.
Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations
R. Hoffmann, C. Zhang, X. Ling, L. Zettlemoyer, D. Weld, Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2011.
Downloads: Source Code
Parallel Coordinate Descent for L1-Regularized Loss Minimization
J. Bradley, A. Kyrola, D. Bickson, C. Guestrin, International Conference on Machine Learning , 2011.
Question Detection In Spoken Conversations Using Textual Conversations
A. Margolis, M. Ostendorf, Annual Meeting of the Association for Computational Linguistics, 2011.
Word Alignment Via Submodular Maximization Over Matroids
H. Lin, J. Bilmes, Annual Meeting of the Association for Computational Linguistics, 2011.
Inference Over the Web
S. Schoenmackers, PHD Thesis, 2011.
Predictive Coding
Y. Huang, R. Rao, Wiley Interdisciplinary Reviews, 2011.
An ideal observer model for identifying the reference frame of objects
J. Austerweil, A. Friesen, T. Griffiths, Annual Conference on Neural Information Processing Systems, 2011.
Online Submodular Set Cover, Ranking, and Repeated Active Learning
A. Guillory, J. Bilmes, Annual Conference on Neural Information Processing Systems, 2011.
Structure Learning for Optimization
C. Zhang, Annual Conference on Neural Information Processing Systems, 2011.
Implementing Weighted Abduction in Markov Logic
J. Blythe, J. Hobbs, P. Domingos, R. Kate, R. Mooney, International Conference on Computational Semantics, 2011.
Lexical Generalization in CCG Grammar Induction for Semantic Parsing
T. Kwiatkowski, L. Zettlemoyer, S. Goldwater, M. Steedman, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2011.
Approximation by Quantization
V. Gogate, P. Domingos, Uncertainty in Artificial Intelligence, 2011.
Fault identification via non-parametric belief propagation
D. Bickson, D. Baron, A. Ihler, H. Avissar, D. Dolev, IEEE Transactions on Signal Processing, 2011.
Probabilistic Theorem Proving
V. Gogate, P. Domingos, Uncertainty in Artificial Intelligence, 2011.
Sum-Product Networks: A New Deep Architecture
H. Poon, P. Domingos, Uncertainty in Artificial Intelligence, 2011.
2010
Character Animation in Two-Player Adversarial Games
K. Wampler, E. Andersen, E. Herbst, Y. Lee, Z. Popovic, ACM Transactions on Graphics, 2010.
Connecting the Dots Between News Articles
D. Shahaf, C. Guestrin, Knowledge Discovery and Data Mining, 2010.
Modeling and Reasoning about Success, Failure, and Intent of Multi-Agent Activities
A. Sadilek, H. Kautz, International Conference on Ubiquitous Computing, 2010.
Imitation Learning with Hierarchical Actions
A. Friesen, R. Rao, IEEE International Conference on Development and Learning, 2010.
A Latent Dirichlet Allocation method for Selectional Preferences
A. Ritter, Mausam, O. Etzioni, Annual Meeting of the Association for Computational Linguistics, 2010.
Approximate Lifted Belief Propagation
P. Singla, A. Nath, P. Domingos, Workshop on Statistical Relational AI, 2010.
Bayesian Abductive Logic Programs
S. Raghavan, R. Mooney, Workshop on Statistical Relational AI, 2010.
Decision-Theoretic Control for Crowdsourced Workflows
P. Dai, Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2010.
Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models
D. Wyatt, T. Choudhury, J. Bilmes, AAAI Conference on Artificial Intelligence, 2010.
Efficient Belief Propagation for Utility Maximization and Repeated Inference
A. Nath, P. Domingos, AAAI Conference on Artificial Intelligence, 2010.
Exploiting Logical Structure in Lifted Probabilistic Inference
V. Gogate, P. Domingos, Workshop on Statistical Relational AI, 2010.
Extracting Sequences from the Web
A. Fader, S. Soderland, O. Etzioni, Annual Meeting of the Association for Computational Linguistics, 2010.
Formula-Based Probabilistic Inference
V. Gogate, P. Domingos, Uncertainty in Artificial Intelligence, 2010.
Grammar Prototyping and Testing with the LinGO Grammar Matrix Customization System
E. Bender, S. Drellishak, A. Fokkens, M.W. Goodman, D. Mills, L. Poulson, S. Saleem, Annual Meeting of the Association for Computational Linguistics, 2010.
Learning 5000 Relational Extractors
R. Hoffmann, D. Weld, Annual Meeting of the Association for Computational Linguistics, 2010.
Leveraging Ontologies for Lifted Probabilistic Inference and Learning
C. Kiddon, P. Domingos, Workshop on Statistical Relational AI, 2010.
Machine Reading: A "Killer App" for Statistical Relational AI
H. Poon, P. Domingos, Workshop on Statistical Relational AI, 2010.
Machine Reading: from Wikipedia to the Web
F. Wu, PHD Thesis, 2010.
Online Max-Margin Weight Learning with Markov Logic Networks
T. Huynh, R. Mooney, Workshop on Statistical Relational AI, 2010.
Open Information Extraction using Wikipedia
F. Wu, D. Weld, Annual Meeting of the Association for Computational Linguistics, 2010.
Panlingual Lexical Translation via Probabilistic Inference
Mausam, S. Soderland, O. Etzioni, AAAI Conference on Artificial Intelligence, 2010.
Reading Between the Lines: Learning to Map High-level Instructions to Commands
S.R.K. Branavan, L. Zettlemoyer, R. Barzilay, Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2010.
Recognizing Multi-Agent Activities from GPS Data
A. Sadilek, H. Kautz, AAAI Conference on Artificial Intelligence, 2010.
SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs
A. Kolobov, Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2010.
Unsupervised Ontology Induction from Text
H. Poon, P. Domingos, Annual Meeting of the Association for Computational Linguistics, 2010.
User-Specific Learning for Recognizing a Singer’s Intended Pitch
A. Guillory, S. Basu, D. Morris, AAAI Conference on Artificial Intelligence, 2010.
Bottom-Up Learning of Markov Network Structure
J. Davis, P. Domingos, International Conference on Machine Learning, 2010.
Hitting the Right Paraphrases in Good Time
S. Kok, C. Brockett, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.
Interactive Submodular Set Cover
A. Guillory, J. Bilmes, International Conference on Machine Learning, 2010.
Inverse Optimal Control with Linearly Solvable MDPs
K. Dvijotham, E. Todorov, International Conference on Machine Learning, 2010.
Joint Inference for Knowledge Extraction from Biomedical Literature
H. Poon, L. Vanderwende, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.
Learning Markov Logic Networks Using Structural Motifs
S. Kok, P. Domingos, International Conference on Machine Learning, 2010.
Machine Reading at the University of Washington
H. Poon, J. Christensen, P. Domingos, O. Etzioni, R. Hoffmann, C. Kiddon, Mausam, A. Ritter, S. Soderland, D. Weld, F. Wu, T. Lin, X. Ling, S. Schoenmackers, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.
Semantic Role Labeling for Open Information Extraction
Mausam, S. Soderland, O. Etzioni, J. Christensen, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.
Supporting rule-based representations with corpus-derived lexical information
A. Zaenen, C. Condoravdi, D. Bobrow, R. Hoffmann, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.
Testing a Grammar Customization System with Sahaptin
S. Drellishak, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.
Unsupervised Modeling of Twitter Conversations
A. Ritter, C. Cherry, B. Dolan, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.
Classical Planning in MDP Heuristics: With a Little Help from Generalization
A. Kolobov, Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 2010.
Approximate Inference by Compilation to Arithmetic Circuits
D. Lowd, P. Domingos, Annual Conference on Neural Information Processing Systems, 2010.
A rational decision making framework for inhibitory control
P. Shenoy, R. Rao, A. Yu, Annual Conference on Neural Information Processing Systems, 2010.
Learning Efficient Markov Networks
V. Gogate, W. Webb, P. Domingos, Annual Conference on Neural Information Processing Systems, 2010.
Lifted Inference Seen from the Other Side: The Tractable Features
A. Jha, V. Gogate, A. Meliou, D. Suciu, Annual Conference on Neural Information Processing Systems, 2010.
Reducing Model Bias in Reinforcement Learning
M. Deisenroth, C. Rasmussen, Annual Conference on Neural Information Processing Systems, 2010.
Commonsense from the Web: Relation Properties
T. Lin, Mausam, O. Etzioni, AAAI Fall Symposium Series, 2010.
Decision Making under Uncertainty: A Neural Model based on Partially Observable Markov Decision Processes
R. Rao, Frontiers in Computational Neuroscience, 2010.
Identifying Functional Relations in Web Text
T. Lin, Mausam, O. Etzioni, Conference on Empirical Methods in Natural Language Processing, 2010.
Inducing Probabilistic CCG Grammars from Logical Form with Higher-order Unification
T. Kwiatkowski, L. Zettlemoyer, S. Goldwater, M. Steedman, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2010.
Learning First-Order Horn Clauses from Web Text
S. Schoenmackers, J. Davis, O. Etzioni, D. Weld, Conference on Empirical Methods in Natural Language Processing, 2010.
Grammar Customization
E.M. Bender, S. Drellishak, A. Fokkens, L. Poulson, S. Saleem, Research on Language and Computation 8:1, 2010.
Analysis of a Probabilistic Model of Redundancy in Unsupervised Information Extraction
O. Etzioni, S. Soderland, D. Downey, Artificial Intelligence 174:11, 2010.
Efficient Reinforcement Learning using Gaussian Processes
M. Deisenroth, KIT Scientific Publishing, 2010.
Panlingual Lexical Translation via Probabilistic Inference
Mausam, S. Soderland, O. Etzioni, D. Weld, J. Bilmes, K. Reiter, M. Skinner, M. Sammer, Artificial Intelligence, 2010.
State-Space Inference and Learning with Gaussian Processes
R. Turner, M. Deisenroth, C. Rasmussen, International Conference on Artificial Intelligence and Statistics, 2010.
Twin Gaussian Processes for Structured Prediction
L. Bo, C. Sminchisescu, International Journal of Computer Vision, 2010.
OneBusAway: Results from Providing Real-Time Arrival Information for Public Transit
B. Ferris, K. Watkins, A. Borning, ACM Conference on Human Factors in Computing Systems (CHI), 2010.
Best Paper nomination.
Downloads: pdf
2009
A Family of Large Margin Linear Classifiers and Its Applications to Feature-changing Problems
J. Shen, T. Dietterich, SIAM International Conference on Data Mining, 2009.
Integrating Logic and Probability: Algorithmic Improvements in Markov Logic Networks
M. Biba, PhD Thesis, 2009.
Probabilistic Abduction using Markov Logic Networks
R. Kate, R. Mooney, IJCAI Workshop on Plan, Activity, and Intent Recognition, 2009.
Temporal-Informatics of the WWW
E. Adar, PhD Thesis, 2009.
A game-building environment for research in collaborative design
S. Tanimoto, T. Robison, S. Fan, Int'l Symposium on Artificial Intelligence in Games, IEEE, 2009.
Efficient Reinforcement Learning for Motor Control
M. Deisenroth, C. Rasmussen, PhD Workshop on Systems and Control, 2009.
Focused Topological Value Iteration
P. Dai, Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 2009.
Learning to Disambiguate Search Queries from Short Sessions
L. Mihalkova, R. Mooney, European Conference on Machine Learning, 2009.
Max-Margin Weight Learning for Markov Logic Networks
T. Huynh, R. Mooney, European Conference on Machine Learning, 2009.
A Rose is a Roos is a Ruusu: Querying Translations for Web Image Search
J. Christensen, Mausam, O. Etzioni, Annual Meeting of the Association for Computational Linguistics, 2009.
Compiling a Massive, Multilingual Dictionary via Probabilistic Inference
Mausam, S. Soderland, O. Etzioni, D. Weld, M. Skinner, J. Bilmes, Annual Meeting of the Association for Computational Linguistics, 2009.
Learning Context-dependent Mappings from Sentences to Logical Form
L. Zettlemoyer, M. Collins, Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2009.
Lemmatic Machine Translation
S. Soderland, Mausam, O. Etzioni, C. Lim, J. Pool, B. Qin, Machine Translation Summit, 2009.
Reinforcement Learning for Mapping Instructions to Actions
S.R.K. Branavan, H. Chen, L. Zettlemoyer, R. Barzilay, Proceeding of the Annual Meeting of the Association for Computational Linguistics (ACL), 2009.
Unsupervised Semantic Parsing
H. Poon, P. Domingos, Conference on Empirical Methods in Natural Language Processing, 2009.
A Language for Relational Decision Theory
A. Nath, P. Domingos, International Workshop on Statistical Relational Learning, 2009.
Cause and Intent: Social Reasoning in Causal Learning
N. Goodman, C. Baker, J. Tenenbaum, Conference of the Cognitive Science Society, 2009.
Domain-Independent, Automatic Partitioning for Probabilistic Planning
P. Dai, Mausam, D. Weld, International Joint Conference on Artificial Intelligence, 2009.
Evaluating online text classification algorithms for email prediction in TaskTracer
V. Keiser, T. Dietterich, Conference on Email and Anti-Spam, 2009.
Learning a Theory of Causality
N. Goodman, T. Ullman, J. Tenenbaum, Conference of the Cognitive Science Society, 2009.
ReTrASE: Intergating Paradigms for Approximate Probabilistic Planning
A. Kolobov, Mausam, D. Weld, International Joint Conference on Artificial Intelligence, 2009.
Sensing and Predicting the Pulse of the City through Shared Bicycling
J. Froehlich, J. Neumann, N. Oliver, International Joint Conference on Artificial Intelligence, 2009.
Analytic Moment-based Gaussian Process Filtering
M. Deisenroth, M. Huber, U. Hanebeck, International Conference on Machine Learning, 2009.
Deep Transfer via Second-Order Markov Logic
J. Davis, P. Domingos, International Conference on Machine Learning, 2009.
Distributed Parallel Inference on Large Factor Graphs
J. Gonzalez, Y. Low, C. Guestrin, D. O'Hallaron, Uncertainty in Artificial Intelligence, 2009.
Turning Down the Noise in the Blogosphere
K. El-Arini, G. Veda, D. Shahaf, C. Guestrin, Knowledge Discovery and Data Mining, 2009.
Unsupervised Morphological Segmentation with Log-Linear Models
H. Poon, C. Cherry, K. Toutanova, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2009.
Amplifying Community Content Creation with Mixed Initiative Information Extraction
R. Hoffmann, S. Amershi, K. Patel, F. Wu, J. Fogarty, D. Weld, Conference on Human Factors in Computing Systems, 2009.
Learning Thin Junction Trees via Graph Cuts
D. Shahaf, A. Chechetka, C. Guestrin, International Conference on Artificial Intelligence and Statistics, 2009.
Residual Splash for Optimally Parallelizing Belief Propagation
J. Gonzalez, Y. Low, C. Guestrin, International Conference on Artificial Intelligence and Statistics, 2009.
Collective Modeling of Human Social Behavior
D. Wyatt, AAAI Spring Symposium Series, 2009.
What Is This, Anyway: Automatic Hypernym Discovery
A. Ritter, S. Soderland, O. Etzioni, AAAI Spring Symposium Series, 2009.
Detecting and Correcting User Activity Switches: Algorithms and Interfaces
J. Shen, J. Irvine, X. Bao, M. Goodman, S. Kolibaba, A. Tran, F. Carl, B. Kirschner, S. Stumpf, T. Dietterich, International Conference on Intelligent User Interfaces, 2009.
Discovering Frequent Work Procedures From Resource Connections
J. Shen, E. Fitzhenry, T. Dietterich, International Conference on Intelligent User Interfaces, 2009.
Learning to Generalize for Complex Selection Tasks
A. Ritter, S. Basu, International Conference on Intelligent User Interfaces, 2009.
Competitive Learning for Deep Temporal Networks
R. Gens, P. Domingos, Annual Conference on Neural Information Processing Systems, 2009.
Conditional Neural Fields
J. Peng, L. Bo, J. Xu, Annual Conference on Neural Information Processing Systems, 2009.
Dynamic Multi-Valued Network Models for Predicting Face-to-Face Conversations
D. Wyatt, J. Bilmes, T. Choudhury, Annual Conference on Neural Information Processing Systems, 2009.
Efficient Match Kernels between Sets of Features for Visual Recognition
L. Bo, C. Sminchisescu, Annual Conference on Neural Information Processing Systems, 2009.
Filter, Rank, and Transfer the Knowledge: Learning to Chat
S. Jafarpour, C. Burges, A. Ritter, Annual Conference on Neural Information Processing Systems, 2009.
Label Selection on Graphs
A. Guillory, J. Bilmes, Annual Conference on Neural Information Processing Systems, 2009.
System Identification in Gaussian Process Dynamical Systems
R. Turner, M. Deisenroth, C. Rasmussen, Annual Conference on Neural Information Processing Systems, 2009.
Identifying Interesting Assertions from the Web
T. Lin, O. Etzioni, J. Fogarty, ACM Conference on Information and Knowledge Management, 2009.
Semi-Supervised Learning of Semantic Classes for Query Understanding – from the Web and for the Web
Y.Y. Wang, R. Hoffmann, X. Li, J. Szymanski, ACM Conference on Information and Knowledge Management, 2009.
A Spotlight on Security and Privacy Risks with Future Household Robots: Attacks and Lessons
T. Denning, C. Matuszek, K. Koscher, J. Smith, T. Kohno, International Conference on Ubiquitous Computing, 2009.
A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains
N. Meuleau, E. Benazera, R. Brafman, E. Hansen, Mausam, Journal of Artificial Intelligence Research, 2009.
Learning Markov Logic Network Structure via Hypergraph Lifting
S. Kok, P. Domingos, International Conference on Machine Learning, 2009.
Unsupervised Methods for Determining Object and Relation Synonyms on the Web
A. Yates, O. Etzioni, Journal of Artificial Intelligence Research, 2009.
Faring with Facets: Building and Using Databases of Student Misconceptions
T. Madhyastha, S. Tanimoto, Journal of Interactive Multimedia in Education, The Open University, 2009.
2008
Distributed Multirobot Exploration, Mapping, and Task Allocation
R. Vincent, D. Fox, J. Ko, K. Konolige, B. Limketkai, B. Morisset, C. Ortiz, D. Schulz, B. Stewart, Annals of Mathematics and Artificial Intelligence 52:2–4, 2008.
Rao-Blackwellized Particle Filters for Recognizing Activities and Spatial Context From Wearable Sensors
A. Raj, A. Subramanya, D. Fox, J. Bilmes, Experimental Robotics: The 10th International Symposium, Springer Verlag 39, 2008.
Church: A Language for Generative Models
N. Goodman, V. Mansinghka, D. Roy, K. Bonawitz, J. Tenenbaum, Uncertainty in Artificial Intelligence, 2008.
Probabilistic Inference for Fast Learning in Control
C. Rasmussen, M. Deisenroth, Lecture Notes in Computer Science, 2008.
Towards the Automated Social Analysis of Situated Speech Data
D. Wyatt, T. Choudhury, J. Bilmes, J. Kitts, International Conference on Ubiquitous Computing, 2008.
A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC
H. Poon, P. Domingos, M. Sumner, AAAI Conference on Artificial Intelligence, 2008.
Augmenting Wikipedia-Extraction with Results from the Web
F. Wu, R. Hoffmann, D. Weld, AAAI Conference on Artificial Intelligence, 2008.
Hybrid Markov Logic Networks
J. Wang, P. Domingos, AAAI Conference on Artificial Intelligence, 2008.
Information Extraction from Wikipedia: Moving Down the long Tail
F. Wu, R. Hoffmann, D. Weld, Knowledge Discovery and Data Mining, 2008.
Intelligence in Wikipedia
D. Weld, F. Wu, E. Adar, S. Amershi, J. Fogarty, R. Hoffmann, K. Patel, M. Skinner, AAAI Conference on Artificial Intelligence, 2008.
Learning Hidden Curved Exponential Random Graph Models to Infer Face-to-Face Interaction Networks from Situated Speech Data
D. Wyatt, T. Choudhury, J. Bilmes, AAAI Conference on Artificial Intelligence, 2008.
Lifted First-Order Belief Propagation
P. Singla, P. Domingos, AAAI Conference on Artificial Intelligence, 2008.
Modeling Semantic Cognition as Logical Dimensionality Reduction
Y. Katz, N. Goodman, K. Kersting, C. Kemp, J. Tenenbaum, Conference of the Cognitive Science Society, 2008.
Partitioned External Memory Value Iteration
P. Dai, Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2008.
Theory Acquisition and the Language of Thought
C. Kemp, N. Goodman, J. Tenenbaum, Conference of the Cognitive Science Society, 2008.
Theory-Based Social Goal Inference
C. Baker, N. Goodman, J. Tenenbaum, Conference of the Cognitive Science Society, 2008.
Evaluating a Crosslinguistic Grammar Resource: A Case Study of Wambaya
E. Bender, Annual Meeting of the Association for Computational Linguistics, 2008.
The Tradeoffs Between Open and Traditional Relation Extraction
M. Banko, O. Etzioni, Annual Meeting of the Association for Computational Linguistics, 2008.
Automatically Refining the Wikipedia Infobox Ontology
F. Wu, D. Weld, International World Wide Web Conference, 2008.
Evaluating Visual Cues for Window Switching on Large Screens
R. Hoffmann, P. Baudisch, D. Weld, Conference on Human Factors in Computing Systems, 2008.
Improving the Performance of Motor-Impaired Users with Automatically-Generated, Ability-Based Interfaces
K. Gajos, J. Wobbrock, D. Weld, Conference on Human Factors in Computing Systems, 2008.
Predictability and Accuracy in Adaptive User Interfaces
K. Gajos, K. Everitt, D. Tan, M. Czerwinski, D. Weld, Conference on Human Factors in Computing Systems, 2008.
Learning and Using Relational Theories
C. Kemp, N. Goodman, J. Tenenbaum, Annual Conference on Neural Information Processing Systems, 2008.
Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification
D. Downey, O. Etzioni, Annual Conference on Neural Information Processing Systems, 2008.
Open Information Extraction from the Web
O. Etzioni, S. Soderland, D. Weld, M. Banko, Communications of the ACM, 2008.
Integrating Sensing and Cueing for More Effective Activity Reminders
J. Modayil, R. Levinson, C. Harman, D. Halper, H. Kautz, AAAI Fall Symposium Series, 2008.
It's a Contradiction -- No, It's Not: A Case Study using Functional Relations
A. Ritter, D. Downey, S. Soderland, O. Etzioni, Conference on Empirical Methods in Natural Language Processing, 2008.
Joint Unsupervised Coreference Resolution with Markov Logic
H. Poon, P. Domingos, Conference on Empirical Methods in Natural Language Processing, 2008.
Scaling Textual Inference to the Web
S. Schoenmackers, O. Etzioni, D. Weld, Conference on Empirical Methods in Natural Language Processing, 2008.
Recovering from Errors during Programming by Demonstration
J.H. Chen, D. Weld, International Conference on Intelligent User Interfaces, 2008.
A Generative Model for Parsing Natural Language to Meaning Representations
W. Lu, H.T. Ng, W.S. Lee, L. Zettlemoyer, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2008.
Discovery of Social Relationships in Consumer Photo Collections using Markov Logic
P. Singla, H. Kautz, J. Luo, A. Gallagher, International Workshop on Semantic Learning and Applications in Multimedia, 2008.
Extracting Semantic Networks from Text via Relational Clustering
S. Kok, P. Domingos, European Conference on Machine Learning, 2008.
Learning Arithmetic Circuits
D. Lowd, P. Domingos, Uncertainty in Artificial Intelligence, 2008.
Planning with Durative Actions in Stochastic Domains
Mausam, D. Weld, Journal of Artificial Intelligence Research 31, 2008.
Lifted probabilistic inference with counting formulas
B. Milch, L. Zettlemoyer, K. Kersting, M. Haimes, L.P. Kaelbling, Proceedings of the National Conference on Artificial intelligence (AAAI), 2008.
Multi-agent filtering with infinitely nested beliefs
L. Zettlemoyer, B. Milch, L.P. Kaelbling, Neural Information Processing Systems (NIPS), 2008.
2007
Extending Markov Logic to Model Probability Distributions in Relational Domains
D. Jain, B. Kirchlechner, M. Beetz, German Conference on Artificial Intelligence, 2007.
Application of a transparent interface methodology to image processing
L. Cinque, S.S. Canizares, S. Tanimoto, J. Visual Languages and Computing 15:5, 2007.
Lexical Translation with Application to Image Search on the Web
O. Etzioni, K. Reiter, S. Soderland, M. Sammer, Machine Translation Summit, 2007.
Conversation Detection and Speaker Segmentation in Privacy-Sensitive Situated Speech Data
D. Wyatt, T. Choudhury, J. Bilmes, Interspeech, 2007.
Autonomously Semantifying Wikipedia
F. Wu, D. Weld, ACM Conference on Information and Knowledge Management, 2007.
Navigating Extracted Data with Schema Discovery
O. Etzioni, M. Cafarella, D. Suciu, International Workshop on the Web and Databases, 2007.
Sparse Information Extraction: Unsupervised Language Models to the Rescue
D. Downey, S. Schoenmackers, O. Etzioni, Annual Meeting of the Association for Computational Linguistics, 2007.
Capturing Spontaneous Conversation and Social Dynamics: A Privacy Sensitive Data Collection Effort
D. Wyatt, T. Choudhury, H. Kautz, International Conference on Acoustic and Speech Signal Processing, 2007.
Unsupervised Resolution of Objects and Relations on the Web
A. Yates, O. Etzioni, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2007.
Joint Inference in Information Extraction
H. Poon, P. Domingos, AAAI Spring Symposium Series, 2007.
Machine Reading
O. Etzioni, M. Banko, M. Cafarella, AAAI Spring Symposium Series, 2007.
Creating Social Network Models from Sensor Data
D. Wyatt, T. Choudhury, J. Bilmes, Annual Conference on Neural Information Processing Systems, 2007.
Assieme: Finding and Leveraging Implicit References in a Web Search Interface for Programmers
R. Hoffmann, J. Fogarty, D. Weld, Symposium on User Interface Software and Technology, 2007.
Automatically Generating User Interfaces Adapted To User's Motor And Vision Capabilities
K. Gajos, J. Wobbrock, D. Weld, Symposium on User Interface Software and Technology, 2007.
Strategies for Lifelong Knowledge Extraction from the Web
M. Banko, O. Etzioni, International Conference on Knowledge Capture, 2007.
A Hybridized Planner for Stochastic Domains
Mausam, P. Bertoli, D. Weld, International Joint Conference on Artificial Intelligence, 2007.
A Privacy-Sensitive Approach to Modeling Multi-Person Conversations
D. Wyatt, T. Choudhury, J. Bilmes, H. Kautz, International Joint Conference on Artificial Intelligence, 2007.
Locating Complex Named Entities in Web Text
D. Downey, M. Broadhead, O. Etzioni, International Joint Conference on Artificial Intelligence, 2007.
Open Information Extraction from the Web
M. Banko, M. Cafarella, S. Soderland, M. Broadhead, O. Etzioni, International Joint Conference on Artificial Intelligence, 2007.
Recursive Random Fields
D. Lowd, P. Domingos, International Joint Conference on Artificial Intelligence, 2007.
Structured Querying of Web Text
M. Cafarella, D. Suciu, O. Etzioni, M. Banko, C. Re, Biennial Conference on Innovative Data Systems Research, 2007.
When is temporal planning really temporal?
W. Cushing, S. Kambhampati, Mausam, D. Weld, International Joint Conference on Artificial Intelligence, 2007.
Efficient Weight Learning for Markov Logic Networks
D. Lowd, P. Domingos, European Conference on Principles and Practice of Knowledge Discovery in Databases, 2007.
Evaluating Temporal Planning Domains
W. Cushing, S. Kambhampati, K. Talamadupula, D. Weld, Mausam, International Conference on Automated Planning and Scheduling, 2007.
Markov Logic in Infinite Domains
P. Singla, P. Domingos, Uncertainty in Artificial Intelligence, 2007.
Statistical Predicate Invention
S. Kok, P. Domingos, International Conference on Machine Learning, 2007.
Structured Machine Learning: Ten Problems for the Next Ten Years
P. Domingos, International Conference on Inductive Logic Programming, 2007.
Hierarchical Conditional Random Fields for GPS-based Activity Recognition
L. Liao, D. Fox, H. Kautz, Robotics Research – Results of the 12th International Symposium ISRR, 2007.
Downloads: PDF
Learning and Inferring Transportation Routines
L. Liao, D. J. Patterson, D. Fox, H. Kautz, Artificial Intelligence 171:5-6, 2007.
AAAI Outstanding Paper Award
Downloads: PDF
Sequential input graphical model assessment diagrams for analysis of student activity data
S. Tanimoto, N. Evans, A. Carlson, Int'l Conf. on Advanced Learning Technologie, IEEE, 2007.
Towards a shared language for problem solving in design
S. Tanimoto, Symposium on the Science of Design, 2007.
2006
Ambiguity Reduction for Machine Translation: Human-Computer Collaboration
M. Sammer, K. Reiter, S. Soderland, K. Kirchhoff, O. Etzioni, biennial conference of the Association for Machine Translation in the Americas, 2006.
Detecting Parser Errors Using Web-based Semantic Filters
A. Yates, S. Schoenmackers, O. Etzioni, Conference on Empirical Methods in Natural Language Processing, 2006.
Structured Queries Over Web Text
M. Cafarella, O. Etzioni, D. Suciu, IEEE Data Engineering Bulletin, 2006.
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
T. Choudhury, M. Philipose, D. Wyatt, J. Lester, IEEE Data Engineering Bulletin, 2006.
Automatically Generating Custom User Interfaces for Users With Physical Disabilities
K. Gajos, J.J. Long, D. Weld, ACM SIGACCESS Conference on Assistive Technologies, 2006.
Challenges for Temporal Planning with Uncertain Durations
Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 2006.
Entity Resolution with Markov Logic
P. Singla, P. Domingos, IEEE International Conference on Data Mining, 2006.
Machine Reading
O. Etzioni, M. Banko, M. Cafarella, AAAI Conference on Artificial Intelligence, 2006.
Markov Logic Networks
M. Richardson, P. Domingos, Machine Learning Journal, 2006.
Memory-Efficient Inference in Relational Domains
P. Singla, P. Domingos, AAAI Conference on Artificial Intelligence, 2006.
Probabilistic Temporal Planning with Uncertain Durations
Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2006.
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
H. Poon, P. Domingos, AAAI Conference on Artificial Intelligence, 2006.
Unifying Logical and Statistical AI
P. Domingos, S. Kok, H. Poon, M. Richardson, P. Singla, AAAI Conference on Artificial Intelligence, 2006.
A transparent interface to statespace search programs
S. Tanimoto, S. Levialdi, ACM Symposium on Software Visualization (SoftVis 2006), Assoc. Comput. Machin., 2006.
Centibots: Very large scale distributed robotic teams
K. Konolige, D. Fox, C. Ortiz, A. Agno, M. Eriksen, B. Limketkai, J. Ko, B. Morisset, D. Schulz, B. Stewart, R. Vincent, Experimental Robotics: The 9th International Symposium, Springer Verlag 21, 2006.
Downloads: PDF
Distributed Multi-robot Exploration and Mapping
D. Fox, J. Ko, K. Konolige, B. Limketkai, B. Stewart, Proc. of the IEEE 94:7, 2006.
Special Issue on Multirobot Systems
Downloads: PDF
2005
A Hierarchical Bayesian Approach to the Revisiting Problem in Mobile Robot Map Building
D. Fox, J. Ko, K. Konolige, B. Stewart, Robotics Research: The Eleventh International Symposium, Springer Verlag, 2005.
Downloads: PDF
Probabilistic Robotics
S. Thrun, W. Burgard, D. Fox, Probabilistic Robotics, MIT Press, 2005.
ISBN 0-262-20162-3
A Probabilistic Model of Redundancy in Information Extraction
D. Downey, O. Etzioni, S. Soderland, International Joint Conference on Artificial Intelligence, 2005.
Planning with Continuous Resources in Stochastic Domains
Mausam, E. Benazera, R. Brafman, N. Meuleau, E. Hansen, International Joint Conference on Artificial Intelligence, 2005.
Discriminative Training of Markov Logic Networks
P. Singla, P. Domingos, AAAI Conference on Artificial Intelligence, 2005.
Unsupervised Activity Recognition Using Automatically Mined Common Sense
D. Wyatt, M. Philipose, T. Choudhury, AAAI Conference on Artificial Intelligence, 2005.
Unsupervised Named-Entity Extraction from the Web: An Experimental Study
O. Etzioni, M. Cafarella, D. Downey, A.M. Popescu, S. Soderland, D. Weld, A. Yates, T. Shaked, Artificial Intelligence, 2005.
A Search Engine for Natural Language Applications
M. Cafarella, O. Etzioni, International World Wide Web Conference, 2005.
Extracting Product Features and Opinions from Reviews
O. Etzioni, A.M. Popescu, Conference on Empirical Methods in Natural Language Processing, 2005.
KnowItNow: Fast, Scalable Information Extraction from the Web
M. Cafarella, D. Downey, S. Soderland, O. Etzioni, Conference on Empirical Methods in Natural Language Processing, 2005.
Preference Elicitation for Interface Optimization
K. Gajos, D. Weld, Symposium on User Interface Software and Technology, 2005.
Concurrent Probabilistic Temporal Planning
Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 2005.
Learning the Structure of Markov Logic Networks
S. Kok, P. Domingos, International Conference on Machine Learning, 2005.
Mining social networks for viral marketing
P. Domingos, IEEE Intelligent Systems, 2005.
Object identification with attribute-mediated dependencies
P. Singla, P. Domingos, European Conference on Principles and Practice of Knowledge Discovery in Databases, 2005.
Fine-Grained Activity Recognition by Aggregating Abstract Object Usage
D. Patterson, D. Fox, H. Kautz, M. Philipose, Proc. of the International Symposium on Wearable Computers, 2005.
Downloads: PDF
Introduction to Python for Articial Intelligence
S. Tanimoto, Ready Notes, IEEE Computer Society, 2005.
Naive Bayes Models for Probability Estimation
D. Lowd, P. Domingos, International Conference on Machine Learning, 2005.
2004
Real-time particle filters
C.T. Kwok, D. Fox, M. Meilă, Proceedings of the IEEE 92:2, 2004.
Special Issue on Sequential State Estimation
Downloads: PS
Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison
O. Etzioni, M. Cafarella, D. Downey, A.M. Popescu, T. Shaked, S. Soderland, A. Yates, AAAI Conference on Artificial Intelligence, 2004.
Modern Natural Language Interfaces to Databases: Composing Statistical Parsing with Semantic Tractability
A.M. Popescu, A. Armanasu, O. Etzioni, D. Ko, A. Yates, International Conference on Computational Linguistics, 2004.
iMAP: Discovering Complex Semantic Matches between Database Schemas
R. Dhamankar, Y. Lee, A.H. Doan, A. Halevy, P. Domingos, ACM SIGMOD International Conference on Management of Data, 2004.
Semantic Email
O. Etzioni, L. McDowell, A. Halevy, H. Levy, International World Wide Web Conference, 2004.
WebScale Information Extraction in KnowItAll (Preliminary Results)
O. Etzioni, M. Cafarella, D. Downey, S. Kok, A.M. Popescu, T. Shaked, S. Soderland, D. Weld, A. Yates, International World Wide Web Conference, 2004.
Semantic Email: Theory and Applications
L. McDowell, O. Etzioni, A. Halevy, Journal of Web Semantics, 2004.
The Specification of Agent Behavior by Ordinary People: A Case Study
L. McDowell, O. Etzioni, A. Halevy, International Semantic Web Conference, 2004.
SUPPLE: Automatically Generating User Interfaces
K. Gajos, D. Weld, International Conference on Intelligent User Interfaces, 2004.
Adversarial Classification
N. Dalvi, P. Domingos, Mausam, S. Sanghai, D. Verma, Knowledge Discovery and Data Mining, 2004.
Multi-relational record linkage
P. Singla, P. Domingos, KDD Workshop on Multi-Relational Data Mining, 2004.
Solving Concurrent Markov Decision Processes
Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2004.
Opportunity Knocks: a System to Provide Cognitive Assistance with Transportation Services
D. Patterson, L. Liao, K. Gajos, M. Collier, N. Livic, K. Olson, S. Wang, D. Fox, H. Kautz, UbiComp, 2004.
Downloads: PDF
2003
Bayesian Techniques for Location Estimation
D. Fox, J. Hightower, H. Kautz, L. Liao, D. J. Patterson, Proc. of the UbiComp-2003 Workshop on Location-Aware Computing, 2003.
Downloads: PDF
Distributed Multi-Robot Mapping
D. Fox, J. Ko, B. Stewart, K. Konolige, B. Limetkai, Multi-Robot Systems: From Swarms to Intelligent Automata, Kluwer II, 2003.
Map merging for distributed robot navigation
K. Konolige, D. Fox, J. Ko, B. Limketkai, B. Stewart, IROS, 2003.
Semantic Email: Adding Lightweight Data Manipulation Capabilities to the Email Habitat
O. Etzioni, A. Halevy, H. Levy, L. McDowell, International Workshop on the Web and Databases, 2003.
Mangrove: Enticing Ordinary People onto the Semantic Web via Instant Gratification
L. McDowell, O. Etzioni, A. Halevy, H. Levy, S. Gribble, W. Pentney, D. Verma, S. Vlasseva, International Semantic Web Conference, 2003.
Trust management for the Semantic Web
M. Richardson, R. Agrawal, P. Domingos, International Semantic Web Conference, 2003.
A Reliable Natural Language Interface To Household Appliances
A. Yates, O. Etzioni, D. Weld, International Conference on Intelligent User Interfaces, 2003.
Towards a Theory of Natural Language Interfaces to Databases
A.M. Popescu, O. Etzioni, H. Kautz, International Conference on Intelligent User Interfaces, 2003.
Building large knowledge bases by mass collaboration
M. Richardson, P. Domingos, International Conference on Knowledge Capture, 2003.
Learning with knowledge from multiple experts
M. Richardson, P. Domingos, International Conference on Machine Learning, 2003.
Mining massive relational databases
G. Hulten, P. Domingos, Y. Abe, International Workshop on Statistical Relational Learning, 2003.
Bayesian Filtering for Location Estimation
D. Fox, J. Hightower, L. Liao, D. Schulz, G. Borriello, IEEE Pervasive Computing Magazine 2:3, 2003.
Special Issue on Dealing with Uncertainty
Downloads: PDF
CentiBOTS: Large-Scale Robot Teams
K. Konolige, C. Ortiz, R. Vincent, A. Agno, M. Eriksen, B. Limetkai, M. Lewis, L. Briesemeister, E. Ruspini, D. Fox, J. Ko, B. Stewart, L. Guibas, Multi-Robot Systems: From Swarms to Intelligent Automata, Kluwer II, 2003.
Research on Statistical Relational Learning at the University of Washington
P. Domingos, Y. Abe, C. Anderson, A. Doan, D. Fox, A. Halevy, G. Hulten, H. Kautz, T. Lau, L. Liao, J. Madhavan, D. Mausam, M. Richardson, S. Sanghai, D. Weld, S. Wolfman, Proc. of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data, 2003.
2002
An Overview of the Assisted Cognition Project
H. Kautz, L. Arnstein, G. Borriello, O. Etzioni, D. Fox, AAAI Workshop on Automation as Caregiver: The Role of Intelligent Technology in Elder Care, 2002.
Intelligent Ubiquitous Computing to Support Alzheimer's Patients: Enabling the Cognitively Disabled
D. Patterson, O. Etzioni, D. Fox, H. Kautz, UbiCog '02: First International Workshop on Ubiquitous Computing for Cognitive Aids, 2002.
Learning Hierarchical Object Maps Of Non-Stationary Environments With Mobile Robots
D. Anguelov, R. Biswas, D. Koller, B. Limketkai, S. Sanner, S. Thrun, UAI, 2002.
Real-time Particle Filters Using Mixtures of Samples Sets
C.T. Kwok, D. Fox, M. Meilă, AAAI/KDD/UAI-2002 Joint Workshop on Real-Time Decision Support and Diagnosis Systems, 2002.
Toward Object Mapping in Dynamic Environments With Mobile Robots
R. Biswas, B. Limketkai, S. Sanner, S. Thrun, IROS, 2002.
Mining knowledge-sharing sites for viral marketing
M. Richardson, P. Domingos, Knowledge Discovery and Data Mining, 2002.
Learning from Infinite Data in Finite Time
P. Domingos, G. Hulten, Annual Conference on Neural Information Processing Systems, 2002.
Learning to Map between Ontologies on the Semantic Web
A.H. Doan, J. Madhavan, P. Domingos, A. Halevy, International World Wide Web Conference, 2002.
Mining Complex Models from Arbitrarily Large Databases in Constant Time
G. Hulten, P. Domingos, Knowledge Discovery and Data Mining, 2002.
Relational Markov models and their application to adaptive Web navigation
C. Anderson, P. Domingos, D. Weld, Knowledge Discovery and Data Mining, 2002.
Making sensor networks practical with robots
A. LaMarca, W. Brunette, D. Koizumi, M. Lease, S.B. Sigurdsson, K. Sikorski, D. Fox, G. Borriello, Pervasive, 2002.
Downloads: PDF
PlantCare: An investigation in practical ubiquitous systems
A. LaMarca, W. Brunette, D. Koizumi, M. Lease, S.B. Sigurdsson, K. Sikorski, D. Fox, G. Borriello, UbiComp, 2002.
Downloads: PDF
2001
Integrated Plan-based Control of Autonomous Service Robots in Human Environments
M. Beetz, T. Arbuckle, T. Belker, M. Bennewitz, W. Burgard, A.B. Cremers, D. Fox, H. Grosskreutz, D. Hähnel, D. Schulz, IEEE Intelligent Systems 16:5, 2001.
Downloads: PS
A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering
P. Domingos, G. Hulten, International Conference on Machine Learning, 2001.
Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach
A.H. Doan, P. Domingos, A. Halevy, ACM SIGMOD International Conference on Management of Data, 2001.
Mining the network value of customers
P. Domingos, M. Richardson, Knowledge Discovery and Data Mining, 2001.
Mining Time-Changing Data Streams
G. Hulten, P. Domingos, L. Spencer, Knowledge Discovery and Data Mining, 2001.
The intelligent surfer: Probabilistic combination of link and content information in PageRank
M. Richardson, P. Domingos, Annual Conference on Neural Information Processing Systems, 2001.
Distributed Transcripts for Online Learning: Design Issues
S.L. Tanimoto, Journal of Interactive Media in Education:3, 2001.
2000
Coordinated Deployment of Multiple, Heterogeneous Robots
R. Simmons, D. Apfelbaum, D. Fox, R.P. Goldman, K.Z. Haigh, D.J. Musliner, M. Pelican, S. Thrun, IROS, 2000.
Downloads: PDF
Efficient multi-robot localization based on Monte Carlo approximation
D. Fox, W. Burgard, H. Kruppa, S. Thrun, Robotics Research: the Ninth International Symposium, Springer-Verlag, 2000.
Downloads: PS
Mining high-speed data streams
G. Hulten, P. Domingos, Knowledge Discovery and Data Mining, 2000.
Coordination for Multi-Robot Exploration and Mapping
R. Simmons, D. Apfelbaum, W. Burgard, D. Fox, M. Moors, S. Thrun, H. Younes, AAAI, 2000.
Downloads: PS
Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva.
S. Thrun, M. Beetz, M. Bennewitz, W. Burgard, A. B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. Schulz, International Journal of Robotics Research 19:11, 2000.
Downloads: PS
Retrieval of Images Using Rich Region Descriptions
L. Cinque, L. F., S. Levialdi, S. Tanimoto, J. Visual Languages and Computing 11:3, 2000.
Web Interfaces for Mobile Robots in Public Places
D. Schulz, W. Burgard, D. Fox, S. Thrun, A. B. Cremers, IEEE Robotics and Automation Magazine 7:1, 2000.
Downloads: PS
1999
Coastal navigation: Mobile robot navigation with uncertainty in dynamic environments
N. Roy, W. Burgard, D. Fox, S. Thrun, ICRA, 1999.
Markov Localization for Reliable Robot Navigation and People Detection
D. Fox, W. Burgard, S. Thrun, Modelling and Planning for Sensor-Based Intelligent Robot Systems, Springer Verlag, 1999.
Probabilistic Methods for Mobile Robot Mapping
D. Fox, W. Burgard, S. Thrun, Proc. of the IJCAI-99 Workshop on Adaptive Spatial Representations of Dynamic Environments, 1999.
Invited presentation
Experiences with an Interactive Museum Tour-Guide Robot
W. Burgard, A. B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. Thrun, Artificial Intelligence 114:1-2, 1999.
Downloads: PS
Experiences with two deployed interactive tour-guide robots
S. Thrun, M. Bennewitz, W. Burgard, A. B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. Schulz, W. Steiner, FSR, 1999.
Downloads: PDF
MINERVA: A second generation mobile tour-guide robot
S. Thrun, M. Bennewitz, W. Burgard, A. B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. Schulz, ICRA, 1999.
Downloads: PS
1998
Coastal Navigation: Robot Motion with Uncertainty
N. Roy, W. Burgard, D. Fox, S. Thrun, Proc. of the 1998 AAAI Fall Symposium, 1998.
Integrating Active Localization into High-level Robot Control Systems
M. Beetz, W. Burgard, D. Fox, A. B. Cremers, Robotics and Autonomous Systems 23, 1998.
Probabilistic Mapping of an Environment by a Mobile Robot
S. Thrun, D. Fox, W. Burgard, ICRA, 1998.
The Interactive Museum Tour-Guide Robot
W. Burgard, A. B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. Thrun, AAAI, 1998.
Downloads: PS
A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots
S. Thrun, D. Fox, W. Burgard, Machine Learning 31, 1998.
Also appeared in Autonomous Robots 5:253–271, joint issue
Downloads: PS
Real Robots for the Real World –- The RHINO Museum Tour-guide Project
W. Burgard, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. Thrun, A. B. Cremers, Proc. of the AAAI 1998 Spring Symposium on Integrating Robotics Research: Taking the Next Leap, 1998.
The Museum Tour-Guide Robot RHINO
W. Burgard, A. B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. Thrun, Proc. of Fachgespräch Autonome Mobile Systeme (AMS'98), 1998.
1997
Active Localization for Service Robot Applications
M. Beetz, W. Burgard, A. B. Cremers, D. Fox, Proc. of the 5th Symposium for Intelligent Robotics Systems (SIRS'97), Stockholm, Sweden, 1997.
Active Mobile Robot Localization by Entropy Minimization
W. Burgard, D. Fox, S. Thrun, Proc. of the Second Euromicro Workshop on Advanced Mobile Robots, IEEE Computer Society Press, 1997.
Probabilistic State Estimation in Robotics
S. Thrun, D. Fox, W. Burgard, Proc. of the Workshop on Self-Organization of Adaptive Behavior, Ilmenau, Germany, VDI-Verlag, 1997.
1996
Controlling Synchro-drive Robots with the Dynamic Window Approach to Collision Avoidance
D. Fox, W. Burgard, S. Thrun, IROS, 1996.
Position Tracking with Position Probability Grids
W. Burgard, D. Fox, D. Hennig, T. Schmidt, Proc. of the First Euromicro Workshop on Advanced Mobile Robots, IEEE Computer Society Press, 1996.
Map Learning and High-Speed Navigation in RHINO
S. Thrun, A. Bücken, W. Burgard, D. Fox, T. Fröhlinghaus, D. Hennig, T. Hofmann, M. Krell, T. Schimdt, 1996.
Downloads: PS
1995
The Mobile Robot RHINO
J. Buhmann, W. Burgard, A. B. Cremers, D. Fox, T. Hofmann, F. Schneider, J. Strikos, S. Thrun, AI Magazine 16:2, 1995.
1987
The Elements of Artificial Intelligence: An Introduction Using Lisp
S. Tanimoto, Principles of Computer Science, Computer Science Press, 1987.

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