We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the m...
Richard Butterworth, Gregory Piatetsky-Shapiro, Da...
We propose a new learning algorithm for the set covering machine and a tight data-compression risk bound that the learner can use for choosing the appropriate tradeoff between the ...
The author describes a recent composition for piano and computer in which the score performed by the pianist, read from a computer monitor, is generated in real-time from a vocabu...
Domain testing is a stratified sampling strategy for choosing a few test cases from the near infinity of candidate test cases. The strategy goes under several names, such as equiv...
Most currently deployed Public Key Infrastructures (PKIs) are hierarchically oriented and rely on a centralized design. Hierarchical PKIs may be appropriate solutions for many usa...