We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
In the context of previous work on redundant modeling, permutation problems and matrix modeling, we introduce the notion of partial redundant modeling and categorical channeling co...
Operator procedures are documents telling operators what to do in various situations. They are widely used in process industries including the nuclear power industry. The correctne...
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
More and more integration systems use ontologies to solve the problem of semantic heterogeneities between autonomous databases. To automate the integration process, a number of the...