In standard text retrieval systems, the documents are gathered and indexed on a single server. In distributed information retrieval (DIR), the documents are held in multiple colle...
The Hamiltonian Cycle (HC) problem is an important graph problem with many applications. The general backtracking algorithm normally used for random graphs often takes far too lon...
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
Abstract. We address the problem of term normalisation modulo associativecommutative (AC) theories, and describe several techniques for compiling many-to-one AC matching and reduce...
Multiagent probabilistic reasoning with multiply sectioned Bayesian networks requires interfacing agent subnets (the modeling task) subject to a set of conditions. To specify the ...