We present a design space explorer for the space of experimental designs. For many design problems, design decisions are determined by the consequences of the design rather than i...
Approximate linear programming (ALP) is an efficient approach to solving large factored Markov decision processes (MDPs). The main idea of the method is to approximate the optimal...
The purpose of this study is to support the learning activity in the Internet learning space. In this paper, we examine the GRID technology as the knowledge management for support...
Symmetry breaking in CSPs has attracted consid erable attention in recent years. Various general schemes have been proposed to eliminate sym metries during search. In general,...
Pascal Van Hentenryck, Pierre Flener, Justin Pears...
: The standard continuous time state space model with stochastic disturbances the mathematical abstraction of continuous time white noise. To work with well defined, discrete time ...