We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
As massively multiplayer online games are becoming very popular, how to support a large number of concurrent users while maintaining the game performance has become an important r...
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
A network latency estimation scheme associates a "position" to every peer in a distributed network such that the latency between any two nodes can be accurately estimate...
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...