A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
Abstract. We explore techniques for efficient Quality of Service Routing in the presence of multiple constraints. We first present a polynomial time approximation algorithm for th...
Valiant introduced 20 years ago an algebraic complexity theory to study the complexity of polynomial families. The basic computation model used is the arithmetic circuit, which ma...
In this paper the classical propositional assumption-based model is extended to incorporate probabilities for the assumptions. Then the whole model is placed into the framework of...
As digital video data becomes more pervasive, mining information from multimedia data becomes increasingly important. Although researches in multimedia mining area have shown grea...
Wenlong Li, Eric Li, Nan Di, Carole Dulong, Tao Wa...