Additions / Bug fixes V 1.4

svm, svr : new svmtorch optimizer, libsvm should now work for regression properly, too.

gproc : new Gaussian process object

relvm_r: new Relevance Vector Machine object

mutinf: new mutual information feat. sel object

kmp: new kernel matching pursuit object

kpca object changed:
o - In the old object, d.X had to be a kernelmatrix and the child field was emtpy. Now the child field (kernel) is kernel('linear') by default and d is assumed to be data. If you want to simulate the old behaviour you can use custom kernel.
o - The eigenvecs of the kernelmatrix are sorted according to the absoulte value of the eigenvals in decreasing order.
o - There is also some code added to treat degenerated subspaces correctly.