In the design of communication networks, robustness against failures in single links or nodes is an important issue. This paper proposes a new approach for the NP-complete edge-bic...
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
The issue of Automatic Relevance Determination (ARD) has attracted attention over the last decade for the sake of efficiency and accuracy of classifiers, and also to extract knowle...
RNA structure prediction, or folding, is a computeintensive task that lies at the core of several search applications in bioinformatics. We begin to address the need for high-thro...
Arpith C. Jacob, Jeremy Buhler, Roger D. Chamberla...