We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Automatic test data generation helps testers to validate software against user requirements more easily. Test data can be generated from many sources; for example, experience of t...
Chartchai Doungsa-ard, Keshav P. Dahal, M. Alamgir...
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Abstract— This paper considers two issues arising in an integrated IEEE 802.16e/802.11 network: 1) finding a possible network, which mobile station (MSTA) can switch to, and 2) ...