The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Service providers of the future could dynamically negotiate for, and create their infrastructure on Grid based utility computing and communication providers. Such commercialisatio...
Understanding consumer behavior is of vital importance to consumer oriented e-business models today. In this paper we report on a study into the relationships between consumer per...
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Probabilistic inference was shown effective in non-deterministic diagnosis of end-to-end service failures. Since exact probabilistic diagnosis is known to be an NP-hard problem, a...