Difference between revisions of "Daume et al, ML 2009"
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== Summary == | == Summary == | ||
| − | This journal [[Category::paper]] introduces [[UsesMethod::SEARN]], a meta-algorithm that combines searching and learning to make structured predictions. The algorithm is summarized in the following figure, from page 6 of the paper | + | This journal [[Category::paper]] introduces [[UsesMethod::SEARN]], a meta-algorithm that combines searching and learning to make structured predictions. The algorithm is summarized in the following figure, from page 6 of the paper: |
[[File:searn-algorithm.png]] | [[File:searn-algorithm.png]] | ||
| + | |||
| + | The key points in the paper are: | ||
| + | * a | ||
| + | * b | ||
| + | * c | ||
| + | * d | ||
== Related papers == | == Related papers == | ||
* '''SEARN in Practice''': This unpublished manuscript showcases three example problems where SEARN can be used - [[RelatedPaper::Daume_et_al,_2006]]. | * '''SEARN in Practice''': This unpublished manuscript showcases three example problems where SEARN can be used - [[RelatedPaper::Daume_et_al,_2006]]. | ||
Revision as of 22:12, 29 September 2010
Citation
Duame, H., Langford, J., and Marcu, D. 2009. Search-based structured prediction. Machine Learning. 75. 3. p297-325
Online version
Search-based structured prediction
Summary
This journal paper introduces SEARN, a meta-algorithm that combines searching and learning to make structured predictions. The algorithm is summarized in the following figure, from page 6 of the paper:
The key points in the paper are:
- a
- b
- c
- d
Related papers
- SEARN in Practice: This unpublished manuscript showcases three example problems where SEARN can be used - Daume_et_al,_2006.
