Large Scale Genomic Sequence Support Vector Machines
author:
Sören Sonnenburg,
Fraunhofer FIRST
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| Slides | |
| 0:00 | Large Scale Genomic Sequence SVM Classifiers |
| 0:11 | Roadmap |
| 0:28 | Large Scale Problems |
| 2:03 | Formally |
| 2:49 | Support Vector Machine |
| 2:55 | Multiple Kernel Learning |
| 3:38 | Speeding up SVM training |
| 4:31 | Derivation I |
| 6:24 | Derivation II |
| 8:17 | Technical Remark |
| 10:18 | Algorithm |
| 12:00 | Parallelization |
| 13:07 | Multiple Kernel Learning |
| 13:50 | Roadmap |
| 13:58 | A Real World Large Scale Dataset |
| 14:13 | Biology: Detection of Splice Sites |
| 14:27 | Approach: Weighted Degree Kernel + SVM |
| 15:03 | Efficient computation via Suffix Tree |
| 15:47 | Results I |
| 17:18 | Results II |
| 18:12 | Conclusion |
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