Covering the fundamentals of kernel-based learning theory, this is an essential resource for graduate students and professionals in computer science.The following parameters were adopted: I = 2.5 for RBF and TRBF3 kernels, C = 10 for SVM, and I = 0.1 for KRR and ... The prediction accuracies and running times reported here were obtained by executing MATLAB classification codes on anbsp;...
|Title||:||Kernel Methods and Machine Learning|
|Author||:||S. Y. Kung|
|Publisher||:||Cambridge University Press - 2014-04-17|