We consider the problem of eliminating redundant Boolean features for a given data set, where a feature is redundant if it separates the classes less well than another feature or ...
Annalisa Appice, Michelangelo Ceci, Simon Rawles, ...
The information overload on the Web has created a great need for efficient filtering mechanisms. Many sites (e.g., CNN and Quicken) address this problem by allowing a user to crea...
Heterogeneous multi-core and streaming architectures such as the GPU, Cell, ClearSpeed, and Imagine processors have better power/ performance ratios and memory bandwidth than tradi...
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
Identifying the characteristics of biological systems through physical experimentation, is restricted by the resources available, which are limited in comparison to the size of the...
Chris Lovell, Gareth Jones, Steve R. Gunn, Klaus-P...