Difference between revisions of "Class Meeting for 10-707 9/29/2010"
From Cohen Courses
Jump to navigationJump to search
| Line 4: | Line 4: | ||
| − | + | * [http://www.cs.cmu.edu/~wcohen/10-707/09-29-searn.ppt Slides] | |
| − | * | ||
=== Required Readings === | === Required Readings === | ||
Latest revision as of 15:49, 28 September 2010
This is one of the class meetings on the schedule for the course Information Extraction 10-707 in Fall 2010.
Meta-Learning: Searn
Required Readings
- Search-Based Structured Prediction, Dame, Langford and Marcu. This is a journal-length paper, but it's not very dense. We will not be going through the theorems in any detail.
- Searn in Practice Unpublished manuscript, Daume et al.
Optional Readings
- Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction An alternative formal analysis of Searn.
- Unsupervised Search-based Structured Prediction. Applying Searn to unsupervised and/or semi-supervised problems.
