Publications

Conference Publications

Learning Bayesian Network Classifiers by Maximizing Conditional Likelihood [PDF]

Dan Grossman and Pedro Domingos. Proceedings of the Twenty-First International Conference on Machine Learning (pp. 361-368), 2004. Banff, Canada: ACM Press.

Mining Complex Models from Arbitrarily Large Databases in Constant Time [PS] [PDF]

Geoff Hulten and Pedro Domingos. In Proc. 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002. Edmonton Canada, 2002.

Learning from Infinite Data in Finite Time [PS] [PDF]

Pedro Domingos and Geoff Hulten. Advances in Neural Information Processing Systems (NIPS) 14, 2002. Cambridge, MA: MIT Press.

Mining Time-Changing Data Streams [PS] [PDF]

Geoff Hulten, Laurie Spencer and Pedro Domingos. In Proc. 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 97-106), 2001. San Francisco, CA: ACM Press.

A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering [PS] [PDF]

Pedro Domingos and Geoff Hulten. In Proc. 18th International Conference on Machine Learning (ICML) (pp. 106-113), 2001. Williamstown, MA: Morgan Kaufmann.

Mining High-Speed Data Streams [PS] [PDF]

Pedro Domingos and Geoff Hulten. In Proc. of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 71-80), 2000. Boston, MA: ACM Press.

Workshop Publications

Mining Massive Relational Databases [PDF]

Geoff Hulten, Pedro Domingos and Yeuhi Abe. In Proc. of 18th International Join Conference on AI -- Workshop on Learning Statistical Models from Relational Data, 2003. Acapulco, Mexico.

Technical Reports

Mining Massive Data Streams [PDF]

Geoff Hulten, Pedro Domingos and Laurie Spencer. Department of Computer Science, University of Washington, 2005.

Markov Logic Networks [PDF]

Matt Richardson and Pedro Domingos. Department of Computer Science, University of Washington, 2004.

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