We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
Consistency techniques are an e cient way of tackling constraint satisfaction problems (CSP). In particular, various arc-consistency algorithms have been designed such as the time...
More powerful personal computers and higher network bandwidth has meant that graphics has become increasingly important on the web. Graph-based diagrams are one of the most import...
Trevor Hansen, Kim Marriott, Bernd Meyer, Peter J....
Current search engines can hardly cope adequately with fuzzy predicates defined by complex preferences. The biggest problem of search engines implemented with standard SQL is that...
With increasing levels of integration of multiple processing cores and new features to support software functionality, recent generations of microprocessors face difficult validati...
Deepak Mathaikutty, Sreekumar V. Kodakara, Ajit Di...