Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
The use of server virtualization has been growing steadily, but many enterprises still are reluctant to migrate critical workloads to such infrastructures. One key inhibitor is the...
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu,...
Abstract. Binary Factor Analysis (BFA) is a typical problem of Independent Component Analysis (ICA) where the signal sources are binary. Parameter learning and model selection in B...
Dynamic evolution has been an essential requirement for more and more business systems which attempt to provide 7(days) x 24(hours) availability and flexible adaptability on the c...