Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
We develop improved risk bounds for function estimation with models such as single hidden layer neural nets, using a penalized least squares criterion to select the size of the mod...
Background: The prediction of protein structure can be facilitated by the use of constraints based on a knowledge of functional sites. Without this information it is still possibl...
A method of using Markov chain techniques for combinatorial test case selection is presented. The method can be used for statistical and coverage testing of many software programs...
Sergiy A. Vilkomir, W. Thomas Swain, Jesse H. Poor...
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...