Today's customizable processors allow the designer to augment the base processor with custom accelerators. By choosing appropriate set of accelerators, designer can significa...
We present a new algorithm that reduces the space complexity of heuristic search. It is most effective for problem spaces that grow polynomially with problem size, but contain lar...
Traditionally, application specific computations have been focusing on numerically intensive data manipulation. Modern communications and DSP applications, such as WWW, interactiv...
In this paper, we provide a study on the use of tree kernels to encode syntactic parsing information in natural language learning. In particular, we propose a new convolution kerne...
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...