: k-SAT is one of the best known among a wide class of random constraint satisfaction problems believed to exhibit a threshold phenomenon where the control parameter is the ratio, ...
Incorporating feature selection into a classi cation or regression method often carries a number of advantages. In this paper we formalize feature selection speci cally from a dis...
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
The success of schema integration in multidatabase systems relies heavily on the determination of complete and refined correspondence relationships between them. So, the candidate...
al Partitioning by Predicate Abstraction and its Application to Data Warehouse Design Aleksandar Dimovski1 , Goran Velinov2 , and Dragan Sahpaski2 1 Faculty of Information-Communic...
Aleksandar Dimovski, Goran Velinov, Dragan Sahpask...