We derive a recursive formula for expected utility values in imperfect- information game trees, and an imperfectinformation game tree search algorithm based on it. The formula and...
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
This paper explains and evaluates the performance of a cluster architecture-based routing protocol, called Link Cluster Protocol (LCP), in mobile ad hoc networks (MANETs). LCP show...
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...