In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
In this work we introduce the new problem of finding time series discords. Time series discords are subsequences of longer time series that are maximally different to all the rest...
Jessica Lin, Eamonn J. Keogh, Ada Wai-Chee Fu, Hel...
Abstract-- We address performance maximization of independent task sets under energy constraint on chip multi-processor (CMP) architectures that support multiple voltage/frequency ...
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...
We consider finite horizon Markov decision processes under performance measures that involve both the mean and the variance of the cumulative reward. We show that either randomiz...