International Workshop on Intelligent Information Access

On Max-Margin Markov Networks in Hierarchical Document Classification

author: Juho Rousu, University of Helsinki

Categories

Top: Computer Science: Machine Learning: Markov Processes

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*Slides*
0:01	On Max-Margin Markov Networks in Hierarchical Document Classification
0:36	Hierarchical Multilabel Classifcation: union of partial paths model
1:53	Frequently used learning strategies for hierarchies
3:43	The classification model
4:45	Feature vectors
6:51	Loss functions for hierarchies
10:09	Max-margin Structured output learning
11:25	Optimization problem
12:36	Marginalized problem pt 1
13:47	Marginalized problem pt 2
15:18	Decomposing the model
16:14	Conditional Gradient method
16:44	Conditional Gradient Ascent pt 1
16:54	Conditional Gradient Ascent pt 2
17:08	Conditional Gradient Ascent pt 3
17:16	Conditional Gradient Ascent pt 4
17:17	Conditional Gradient Ascent pt 5
17:18	Conditional Gradient Ascent pt 6
17:32	Using inference to find update directions
18:27	Experiments
19:22	Optimization efficiency
20:05	Prediction accuracy: Levelwise F1
21:59	Scalability?
23:03	Conclusions

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