Abstract. Privacy protection in publishing transaction data is an important problem. A key feature of transaction data is the extreme sparsity, which renders any single technique i...
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Effective automatic summarization usually requires simulating asoning such as abstraction or relevance reasoning. In this paper we describe a solution for this type of reasoning in...
Abstract. SharedPlans is an agent teamwork model that provides a formalization of the conditions under which a group of agents has a collaborative plan. This paper describes a gene...
Abstract. Recently, the Phase Field Method has shown to be a powerful tool for variational image segmentation. In this paper, we present a novel multi-phase model for probability b...