@inproceedings{515c7d3a8e6340e8bbd62d803b0b9973,
title = "Mining evolving learning algorithms",
abstract = "This paper presents an empirical method to identify salient patterns in tree based Genetic Programming. By using an algorithm derived from tree mining techniques and measuring the destructiveness of replacing patterns, we are able to identify those patterns that are responsible for the increased fitness of good individuals. The method is demonstraded on the evolution of learning rules for binary perceptrons.",
keywords = "genetic programming, learning rule, perceptron, tree mining",
author = "Andr{\'a}s Jo{\'o}",
year = "2009",
month = jul,
day = "23",
doi = "10.1007/978-3-642-01181-8_7",
language = "English",
isbn = "3-642-01180-2",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "73--84",
booktitle = "Genetic programming: 12th European Conference, EuroGP 2009 T{\"u}bingen, Germany, April 15-17, 2009 Proceedings",
address = "Germany",
note = "12th European Conference on Genetic Programming, EuroGP 2009 ; Conference date: 15-04-2009 Through 17-04-2009",
}