The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
The inherent reconfigurability of SRAM-based FPGAs enables the use of configurations optimized for the problem at hand. Optimized configurations are smaller and faster than their g...
Most previously proposed frequent graph mining algorithms are intended to find the complete set of all frequent, closed subgraphs. However, in many cases only a subset of the freq...
We present a new classification system for aspect-oriented programs. This system characterizes the interactions between aspects and methods and identifies classes of interactions ...
Martin C. Rinard, Alexandru Salcianu, Suhabe Bugra...
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...