Difference between revisions of "Class Meeting for 10-710 09-13-2011"
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* ''Dependency Networks for Inference, Collaborative Filtering, and Data Visualization''. David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Kadie; in JMLR, 1(Oct):49-75, 2000. [http://www.jmlr.org/papers/volume1/heckerman00a/heckerman00a.pdf] | * ''Dependency Networks for Inference, Collaborative Filtering, and Data Visualization''. David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Kadie; in JMLR, 1(Oct):49-75, 2000. [http://www.jmlr.org/papers/volume1/heckerman00a/heckerman00a.pdf] | ||
| + | * [http://www.morganclaypool.com/doi/abs/10.2200/S00361ED1V01Y201105HLT013 <i>LSP</i>]: | ||
| + | ** Pseudolikelihood is covered in 3.5.6. | ||
| + | ** Gibbs sampling is covered in 4.2.4, but in the context of unsupervised learning (so it may be tricky to read this section now). | ||
Latest revision as of 15:36, 13 September 2011
This is one of the class meetings on the schedule for the course Syllabus for Structured Prediction 10-210 in Fall 2011.
Dependency Nets and Pseudo-likelihood
Required Readings
- Kristina Toutanova, Dan Klein, Christopher D. Manning, and Yoram Singer. 2003. Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. In Proceedings of HLT-NAACL 2003 pages 252-259. [1]
Background
- Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Kadie; in JMLR, 1(Oct):49-75, 2000. [2]
- LSP:
- Pseudolikelihood is covered in 3.5.6.
- Gibbs sampling is covered in 4.2.4, but in the context of unsupervised learning (so it may be tricky to read this section now).
