Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Resolution enhancement techniques (RET) such as optical proximity correction (OPC) and phase-shift mask (PSM) technology are deployed in modern processes to increase the fidelity ...
Luigi Capodieci, Puneet Gupta, Andrew B. Kahng, De...
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...