Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
We consider the problem of learning a similarity function from a set of positive equivalence constraints, i.e. 'similar' point pairs. We define the similarity in informa...
Many collective labeling tasks require inference on graphical models where the clique potentials depend only on the number of nodes that get a particular label. We design efficien...
A method for extracting syntactic specifications from heapmanipulating code is described. The state of the heap is represented as an environment mapping each variable or field to ...
This article deals with consistent query answering to conjunctive queries under primary key constraints. The repairs of an inconsistent database db are obtained by selecting a max...