—Under electronic commerce, how to raise the consumers’ degree of satisfaction and gain the consumers’ loyalty have become the key factor relating with whether e-commerce ent...
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
In the multi-armed bandit problem, an online algorithm must choose from a set of strategies in a sequence of n trials so as to minimize the total cost of the chosen strategies. Wh...
In this paper we present a prefetch technique, which incorporates a scheme similar to data streaming to minimize the response-lag. Unlike previous all or none techniques, we propo...
In many applications surfaces containing a large number of primitives occur. Geometry compression reduces storage space and transmission time for such models. A special case is gi...