Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
In this paper we present a novel approach to model the search space for optimal set data types in network component realisations. The main objective is to arrive at power efficie...
This paper describes ongoing research into the use of a domain-retargetable reverse engineering environment to aid the structural understanding of large information spaces. In par...
Semi-structured documents (e.g. journal art,icles, electronic mail, television programs, mail order catalogs, ...) a.re often not explicitly typed; the only available t,ype inform...