The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...
Peer-to-peer technologies are increasingly becoming the medium of choice for delivering media content, both professional and homegrown, to large user populations. Indeed, current ...
— Interval training consists of interl intensity exercises with rest periods. This training well known exercise protocol which helps stre improve one’s cardiovascular fitness. ...
Myung-kyung Suh, Mahsan Rofouei, Ani Nahapetian, W...
A short theatrical exaggeration (but not too much) which describes practical problems with variability as experienced by real-world software developers. Real issue, there are no p...