Galactica, a newly developed machine-learning system that utilizes a genetic algorithm for learning, was compared with discriminant analysis, logistic regression, k-means cluster analysis, a C4.5 decision-tree generator and a random bit climber hill-climbing algorithm...
Keywords: Urinary Incontinence, Computer-Assisted Diagnosis, genetic algorithms, Machine Learning, Comparison
06/1999 | Methods of Information in Medicine, Schattauer