This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
MINLP problems are hard constrained optimization problems, with nonlinear constraints and mixed discrete continuous variables. They can be solved using a Branch-and-Bound scheme c...
Attacks and intrusions to information systems cause large revenue losses. The prevention of these attacks is not always possible by just considering information from isolated sour...
Several operating systems projects revolve around moving functionality above or below the kernel "red line" to increase flexibility or performance. We describe how a gen...
We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...