Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
This paper addresses the issue of reducing the storage requirements on Instance-Based Learning algorithms. Algorithms proposed by other researches use heuristics to prune instance...
This paper investigates how the splitting criteria and pruning methods of decision tree learning algorithms are influenced by misclassification costs or changes to the class distr...
We report on our experience with the hardware transactional memory (HTM) feature of two pre-production revisions of a new commercial multicore processor. Our experience includes a...
This paper provides the documented explanations of our submitted poster to CHI 2003 about the process of Information Architecture (IA). The general theme of CHI 2003 was to delive...