Large 0-1 datasets arise in various applications, such as market basket analysis and information retrieval. We concentrate on the study of topic models, aiming at results which in...
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
Abstract. A fundamental data modeling problem in geographical information systems and spatial database systems refers to an appropriate treatment of the vagueness or indeterminacy ...
One approach in verifying the correctness of a multiprocessor system is to show that its execution results comply with the memory consistency model it is meant to implement. It ha...
We propose a natural generalisation of asynchronous bounded delay (ABD) network models. The commonly used ABD models assume a known bound on message delay. This assumption is ofte...