| Wednesday | Paper/Topic | Presenter |
|---|---|---|
| Jan 3 | Organizational meeting | Pedro Domingos |
| Jan 10 | Overview of NIPS-2000 (slides) | David Hsu |
| Jan 17 | Learning probabilistic relational models (a longer but easier to read version is here) | AnHai Doan |
| Jan 24 | Extracting large-scale knowledge bases from the web (see also Scale-free characteristics of random networks: the topology of the world-wide web and Graph structure in the web) | Matt Richardson |
| Jan 31 | Probabilistic state-dependent grammars for plan recognition | Tessa Lau |
| Feb 7 | Active learning for parameter estimation in Bayesian networks | David Grimes |
| Feb 14 | Maximum entropy Markov models for information extraction and segmentation | Corin Anderson |
| Feb 21 | Constrained k-means clustering | Paul Bradley |
| Feb 28 | Social network models | Martina Morris |
| Mar 7 | Support vector machines | Frank McSherry |