Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
This paper describes a new parallel algorithm for Minimum Cost Path computation on the Polymorphic Processor Array, a massively parallel architecture based on a reconfigurable mesh...
A framework is presented for discovering partial duplicates in large collections of scanned books with optical character recognition (OCR) errors. Each book in the collection is r...
Wireless mesh systems offer several advantages for emerging high-bandwidth networks because of their cooperative routing capabilities. In this study, we consider the potential ben...
Ali C. Begen, Yucel Altunbasak, M. Reha Civanlar, ...
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...