A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Advanced analysis of data for extracting useful knowledge is the next natural step in the world of ubiquitous computing. So far, most of the ubiquitous systems process knowledge in...
We describe a methodology to assist scientists in quantifying the degree of evidence in favor of a new proposed theory compared to a standard baseline theory. The figure of merit ...
Abstract. The authors present a GA optimization technique for cosinebased k-nearest neighbors classification that improves predictive accuracy in a class-balanced manner while sim...
Michael R. Peterson, Travis E. Doom, Michael L. Ra...
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...