Multiple kernel learning: Difference between revisions

Revision as of 18:39, 5 June 2016

Revision as of 12:16, 23 October 2017

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* [http://research.microsoft.com/en-us/um/people/manik/code/smo-mkl/download.html SMO-MKL]: C++ source code for a Sequential Minimal Optimization MKL algorithm. Does <math>p</math>-n orm regularization.<ref>S. V. N. Vishwanathan, Z. Sun, N. Theera-Ampornpunt and M. Varma. Multiple kernel learning and the SMO algorithm. In Advances in Neural Information Processing Systems, Vancouver, B. C., Canada, December 2010.</ref>

* [http://asi.insa-rouen.fr/enseignants/~arakoto/code/mklindex.html SimpleMKL]: A MATLAB code based on the SimpleMKL algorithm for MKL SVM.<ref>Alain Rakotomamonjy, Francis Bach, Stephane Canu, Yves Grandvalet. SimpleMKL. Journal of Machine Learning Research, Microtome Publishing, 2008, 9, pp.2491-2521.</ref>

* [https://pypi.python.org/pypi/MKLpy MKLPy]: A Python framework for MKL and kernel machines scikit-compliant with different algorithms, e.g. EasyMKL<ref>Fabio Aiolli, Michele Donini. [https://www.sciencedirect.com/science/article/pii/S0925231215003653 EasyMKL: a scalable multiple kernel learning algorithm]. Neurocomputing, 169, pp.215-224.</ref> and others.

==References==