In this paper we present a novel framework for evolving ART-based classification models, which we refer to as MOME-ART. The new training framework aims to evolve populations of ART...
Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem K...
Problems in which some entities interact with each other are common in computational intelligence. This scenario, typical for co-evolving artificial-life agents, learning strategie...
Our approach to the Log Analysis for Digital Societies (LADS) task of LogCLEF 2009 is to define three different levels of performance: success, failure and strong failure. To inve...
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...
This paper presents a technique for visualizing the interactions between developers in software project evolution. The goal is to produce a visualization that shows more detail th...