There are few contributions to robot autonomous navigation applying Learning Classifier Systems (LCS) to date. The primary objective of this work is to analyse the performance of the strength-based LCS and the accuracy-based LCS, named EXtended Learning Classifier System (XCS), when applied to two distinct robotic tasks. The first task is purely reactive, which means that the action to be perfo...

Large Scale Signal Processing systems are incapable of storing and working on data which change at high frequencies with large differences in the operating range. This paper looks at an easier method of solving this problem by constructing dynamic fuzzy logic based neural networks after sampling the data using through Bayesian classifier based probabilities. This technique has also been extende...

S OF CURRENT LITERATURE The following Technical Reports cover work done under the DARPA research described on page 136. available from Department of Computer and Information Service University of Pennsylvania Philadelphia, PA 19104 Interactive Classification: A Technique for the Acquisition and Maintenance of Knowledge Bases Tim Finin, David Silverman MS-CIS-84-17 Reports are The practical appl...

In this paper, a new supervised classification paradigm, called classifier subset selection for stacked generalization (CSS stacking), is presented to deal with speech emotion recognition. The new approach consists of an improvement of a bi-level multi-classifier system known as stacking generalization by means of an integration of an estimation of distribution algorithm (EDA) in the first laye...