I am using gaussian process for regression and i would like to know if there is any way to design a kernel that ensure that my function is always non-negative. All my observables are positive and i ...
I have a small data set of 450 instances with feature vector of 21 feature and and I need to classify (binary classification) I applied Support Vector Machine Kernel Linear and RBF. In my case RBF ...
It seems that a single-layer RBF-network with normalized weights is the same thing as kernel smoothing (see e.g. Haykin "Neural networks: a comprehensive foundation", Section 5.12). Then - it's ...