— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
In this paper, we discuss a library generator for parallel sorting routines that examines the input characteristics (and the parameters they affect) to select the best performing ...
Brian A. Garber, Daniel Hoeflinger, Xiaoming Li, M...
Much of the Web’s success rests with its role in enabling information reuse and integration across various boundaries. Hyperlinked Web resources represent a rich information tap...
With the continuous growth of mobile users and web-based wireless applications, the performance of accessing web services via wireless is becoming one of the key issues. Regular T...
Sharing knowledge pertaining to software architectures becomes increasingly important. If this knowledge is not explicitly stored or communicated, valuable knowledge dissipates. H...