- In contrast to most of the senior level Artificial Intelligence (AI) courses where AI is taught in the jargon of theoretical computer science with crowd of complex matrix algebra...
Zhiguang Xu, Chris Neasbitt, Jared Summers, Bill C...
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
The ability to provide uniform shared-memory access to a significant number of processors in a single SMP node brings us much closer to the ideal PRAM parallel computer. In this pa...
David A. Bader, Ajith K. Illendula, Bernard M. E. ...
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
A key assumption of all problem-solving approaches based on utility theory, including heuristic search, is that we can assign a utility or cost to each state. This in turn require...