Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
Abstract. This paper presents a novel technique for learning the underlying structure that links visual observations with semantics. The technique, inspired by a text-retrieval tec...
Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser...
Abstract. The availability of the logical structure of documents in contentoriented XML retrieval can be beneficial for users of XML retrieval systems. However, research into struc...
Abstract. Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their im...
Abstract. We show how a program analysis technique originally developed for C-like pointer structures can be adapted to analyse the hierarchical structure of processes in the ambie...