We present a theoretical analysis of supervised ranking, providing necessary and sufficient conditions for the asymptotic consistency of algorithms based on minimizing a surrogate...
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
Michael H. Bowling, Alborz Geramifard, David Winga...
Service Oriented Architectures (SOAs) are constantly gaining ground for the provision of business to business as well as user-centric services, mainly in the form of Web Services ...
George N. Prezerakos, Nikolaos D. Tselikas, Giovan...
Abstract--This paper seeks to understand how network failures affect the availability of service delivery across wide-area networks (WANs) and to evaluate classes of techniques for...
Bharat Chandra, Michael Dahlin, Lei Gao, Amol Naya...
Extracting performance from many-core architectures requires software engineers to create multi-threaded applications, which significantly complicates the already daunting task of...