In a Computational Grid which consists of many computer clusters, job start time predictions are useful to guide resource selections and balance the workload distribution. However...
Hui Li, David L. Groep, Jeffrey Templon, Lex Wolte...
Traditionally, software pipelining is applied either to the innermost loop of a given loop nest or from the innermost loop to outer loops. In this paper, we propose a threestep ap...
A novel center-based clustering algorithm is proposed in this paper. We first formulate clustering as an NP-hard linear integer program and we then use linear programming and the ...
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...