Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...
In this paper we propose the Local Credibility Concept (LCC), a novel technique for incremental classifiers. It measures the classification rate of the classifier’s local mod...
An important problem in biological data analysis is to predict the family of a newly discovered sequence like a protein or DNA sequence, using the collection of available sequence...
Although many algorithms have been proposed for evaluating XPath queries containing un-ordered axes (child, descendant, parent and ancestor) against streaming XML data, there are ...
To reduce cloud system resource cost, application consolidation is a must. In this paper, we present a novel patterndriven application consolidation (PAC) system to achieve efficie...