Multiple kernel learning: Difference between revisions

Revision as of 19:55, 8 December 2014

Revision as of 20:02, 8 December 2014

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==MKL Libraries==

Available MKL libraries include

* [http://research.microsoft.com/en-us/um/people/manik/code/GMKL/download.html GMKL]: Generalized Multiple Kernel Learning code in [[MATLAB]], does <math>\ell_1</math> and <math>\ell_2</math> regularization for supervised learning. <ref>M. Varma and B. R. Babu. More generality in efficient multiple kernel learning. In Proceedings of the International Conference on Machine Learning, Montreal, Canada, June 2009</ref>

* [http://appsrv.cse.cuhk.edu.hk/~hqyang/doku.php?id=gmkl (Another) GMKL]: A different MATLAB MKL code that can also perform elastic net regularization<ref>Yang, H., Xu, Z., Ye, J., King, I., & Lyu, M. R. (2011). Efficient Sparse Generalized Multiple Kernel Learning. IEEE Transactions on Neural Networks, 22(3), 433-446</ref>

* [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>

==References==

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