This paper contrasts three related regularization schemes for kernel machines using a least squares criterion, namely Tikhonov and Ivanov regularization and Morozov's discrepa...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
The Self Distributing Virtual Machine (SDVM) is a parallel computing machine which consists of a cluster of customary computers. The participating machines may have different comp...
A novel training method has been proposed for increasing efficiency and generalization of support vector machine (SVM). The efficiency of SVM in classification is directly determi...
Most sentiment analysis approaches use as baseline a support vector machines (SVM) classifier with binary unigram weights. In this paper, we explore whether more sophisticated fea...
Virtual machines can greatly simplify wide-area discomputing by lowering the level of abstraction to the benefit of both resource providers and users. Networking, however, can be ...