Designing new interactive experiences requires effective methods for sensing human activities. In this paper we propose new sensor architecture based on tracking changes in resona...
Ivan Poupyrev, Zhiquan Yeo, Joshua D. Griffin, Sco...
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
The current commercial anti-virus software detects a virus only after the virus has appeared and caused damage. Motivated by the standard signature-based technique for detecting v...
Tony Abou-Assaleh, Nick Cercone, Vlado Keselj, Ray...
The aim of this paper is to present an evolutionary system for classification problem called GAPBNF_Rule. GAPBNF_Rule is a powerful evolutionary method that distinguishes between ...
An algorithm is proposed to prune the prototype vectors (prototype selection) used in a nearest neighbor classifier so that a compact classifier can be obtained with similar or ev...