— We propose the Multiresponse Sparse Regression algorithm, an input selection method for the purpose of estimating several response variables. It is a forward selection procedur...
In this paper we address the problem of learning the Markov blanket of a quantity from data in an efficient manner. Markov blanket discovery can be used in the feature selection ...
Abstract. This contribution presents algorithms, methods, and software for a Grid resource manager, responsible for resource brokering and scheduling in early production Grids. The...
Due to the popularity of high-speed networks and advances in packaging and interface technologies, there has been significant efforts for providing high performance applications a...
: information contained in companies’ financial statements is valuable for decision making at various levels. Much of the relevant information in such documents is contained in t...