Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms using ...
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Parallel computers are now commonly used for computational science and engineering, and many applications in these areas use random number generators. For some applications, such ...
Abstract--Uintah is a highly parallel and adaptive multiphysics framework created by the Center for Simulation of Accidental Fires and Explosions in Utah. Uintah, which is built up...
What set of concepts and formalizations might one use to make a practically useful, theoretically rigorous theory of generally intelligent systems? We present a novel perspective m...