## A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels

- Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
- IEEE Transactions on Neural Networks and Learning…
- 2016

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@inproceedings{Karasuyama2011SuboptimalSP, title={Suboptimal Solution Path Algorithm for Support Vector Machine}, author={Masayuki Karasuyama and Ichiro Takeuchi}, booktitle={ICML}, year={2011} }

- Published in ICML 2011

We consider a suboptimal solution path algorithm for the Support Vector Machine. The solution path algorithm is an effective tool for solving a sequence of a parametrized optimization problems in machine learning. The path of the solutions provided by this algorithm are very accurate and they satisfy the optimality conditions more strictly than other SVM optimization algorithms. In many machine learning application, however, this strict optimality is often unnecessary, and it adversely affects… CONTINUE READING