In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiļ...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
We analyze generalization and learning in XCS with gradient descent. At ļ¬rst, we show that the addition of gradient in XCS may slow down learning because it indirectly decreases...
Pier Luca Lanzi, Martin V. Butz, David E. Goldberg
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Recent research has shown that a studentās learning style ā essentially, the way a student approaches and masters new material ā can affect student performance in introducto...
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...