The subroutines glkern.f and lokern.f use an efficient and fast algorithm for automatically adaptive nonparametric regression estimation with a kernel method. Roughly speaking, the method performs a local averaging of the observations when es

matlab codes for kernel SVM

Multiple Kernel Learning (MKL) code by F. Bach, G. Lanckriet, and M. Jordan 说明：matlab文件，原地址http://www.stat.berkeley.edu/~gobo/SKMsmo.tar已失效。-Multiple Kernel Learning (MKL) code by F. Bach, G. Lanckriet, and M. Jordan

最小二乘支持向量机，程序粘到command window里，设定 2 两个参数，可以更改，以达到最优化-igam=0.001 isig2=0.001 [gam,sig2]=tunelssvm({X,Y, f ,igam,isig2, RBF_kernel },... [0.001 0.001 10000 10000], gridsearch ,{}, leaveoneout_lssvm ) type= function approximation kernel= RBF_