Partial linearization based optimization for multi-class SVM
We propose a novel partial linearization based approach for optimizing the multi-class svm learning problem. Our method is an intuitive generalization of the Frank-Wolfe and the exponentiated gradient algorithms. In particular, it allows us to combine several of their desirable qualities into one ap...
| Main Authors: | , , , |
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| Format: | Conference item |
| Published: |
Springer International Publishing
2016
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