Large Scale Genomic Sequence Support Vector Machines
Lecture slides:
- Large Scale Genomic Sequence SVM Classifiers
- Roadmap
- Large Scale Problems
- Formally
- Support Vector Machine
- Multiple Kernel Learning
- Speeding up SVM training
- Derivation I
- Derivation II
- Technical Remark
- Algorithm
- Parallelization
- Multiple Kernel Learning
- Roadmap
- A Real World Large Scale Dataset
- Biology: Detection of Splice Sites
- Approach: Weighted Degree Kernel + SVM
- Efficient computation via Suffix Tree
- Results I
- Results II
- Conclusion
Author: Sören Sonnenburg, Fraunhofer First