Abstract. Computing lower bounds to the best-cost extension of a tuple is an ubiquous task in constraint optimization. A particular case of special interest is the computation of l...
Many existing explanation methods in Bayesian networks, such as Maximum a Posteriori (MAP) assignment and Most Probable Explanation (MPE), generate complete assignments for target...
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
Abstract Traditional financial analysis systems utilize lowlevel price data as their analytical basis. For example, a decision-making system for stock predictions regards raw price...
OSCAR is a fully implemented architecture for a cognitive agent, based largely on the author's work in philosophy concerning epistemology and practical cognition. The seminal ...