The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
Wide-area distribution raises significant performance problems for traditional query processing techniques as data access becomes less predictable due to link congestion, load imb...
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
—In this paper, we study how to build a front-end flow management system for SIP application servers. This is challenging because of some special characteristics of SIP and SIP a...
Learning is the most indispensable activity in the current knowledge-based economy where firms, in order to compete and survive, must be constantly alert, capable of adapting to f...