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Learning interpretable SVMs for biological sequence classification

Published on Feb 25, 20074635 Views

Sören Sonnenburg

Workshop on ML, SVM and Large Scale Optimization 2005 - Thurnau

Related categories

Support Vector Machines

Chapter list

Learning interpretable SVMs for biological00:03
Roadmap:00:32
Biology: Detection of Splice Sites00:58
Approach: String Kernel + SVM02:09
Success03:45
Gain05:33
Reformulation: Multiple Kernel Learning08:20
Biology: Detection of Splice Sites08:32
Approach: String Kernel + SVM09:05
Multiple Kernel Learning09:54
Constraining the weights10:47
Standard SVM Optimization Problem11:57
MKL Optimization Problem I12:09
MKL Optimization Problem II13:23
MKL Optimization Problem II15:30
The Semi-Infinite Linear Program I17:59
The Semi-Infinite Linear Program II18:23
Solving the SILP: Column Generation I18:59
Solving the SILP: Column Generation II21:05
Solving the SILP: Boosting I21:38
Solving the SILP: Boosting I22:59
Stability of the solution ?23:21
Toy Dataset24:52
Application to Acceptor splice sites28:27
Conclusion29:35