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International Conference on Machine Learning - Bonn 2005
Pascal

Learning Hierarchical Multi-Category Text Classification Models

author: Juho Rousu, University of Helsinki
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Slides
0:03 Learning Hierarchical Multi-Category Text Classification Models
0:59 Hierarchical Multilabel Classification:
1:57 Frequently used learning strategies for hierarchies
3:46 Max-margin Structured output approach
4:49 Loss functions for hierarchies
7:46 Optimization problem
9:45 Marginalized problem
11:56 Marginalized problem
13:40 Efficient optimization
14:58 Conditional Gradient-based training
15:23 Conditional Gradient-based training
15:39 Conditional Gradient-based training
15:43 Conditional Gradient-based training
15:47 Conditional Gradient-based training
15:57 Experiments
17:15 Microlabel prediction quality: whole tree
18:38 Levelwise F1
19:44 Optimization efficiency
20:56 Conclusions

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