This is the page for the book Digital Signal Processing with Kernel Methods.
This is the page for the book Digital Signal Processing with Kernel Methods.
Simple Regression Toolbox, simpleR: http://isp.uv.es/soft_regression.html
MSVR: Multioutput Support Vector Regression: http://isp.uv.es/code/regression/msvr-2-1.zip
Semisupervised SVR: http://isp.uv.es/soft_regression.html, http://isp.uv.es/code/regression/demoSemiSVR.zip
e-Huber: Epsilon-Huber Support Vector Regression: http://isp.uv.es/code/regression/svr_e_huber.zip
KSNR: Kernel Signal to Noise Ratio: http://isp.uv.es/code/regression/ksnr.zip
WGPR: Warped GPR: http://www.tsc.uc3m.es/~miguel/downloads.php
VHGPR: Variational Heteroscedastic GPR: http://www.tsc.uc3m.es/~miguel/downloads.php
Relevance vector machine (RVM): Two available toolboxes are suggested:
SVR: The original source code of libsvm can be obtained from http://www.csie.ntu.edu.tw/~cjlin/libsvm/. The same toolbox with some modifications an additions at http://www.uv.es/jordi/soft.htm
KARMA: Kernel AutoRegressive Moving Average with SVM: http://isp.uv.es/code/regression/karma.zip
ARX-RVM: Autorregressive eXogenous Relevance Vector Machine: http://isp.uv.es/code/regression/karma_rvm.zip