Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
A decision tree induction method for multilabel classification tasks (IS-MLT) is presented which uses an iterative approach for determining the best split at each node. The propo...
Abstract. We consider bicriteria optimization problems and investigate the relationship between two standard approaches to solving them: (i) computing the Pareto curve and (ii) the...
We consider the design of systems for sequential decentralized detection, a problem that entails several interdependent choices: the choice of a stopping rule (specifying the samp...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
Abstract: The paper analyzes features, roles and functions of shopbots, comparing them to nonvirtual intermediaries. The aim is to understand how they can support and optimize deci...