Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule-Reference-Cited by-同舟云学术

Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule

Published: Issue: Volume: Page:291-307
ISSN:
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Bacardit Jaume,Goldberg David E.,Butz Martin V.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-71231-2_20.pdf

Reference16 articles.

1. Holland, J.H.: Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor (1975)

2. Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading (1989)

3. DeJong, K.A., Spears, W.M., Gordon, D.F.: Using genetic algorithms for concept learning. Machine Learning 13(2/3), 161–188 (1993), citeseer.nj.nec.com/dejong93using.html

4. Rivest, R.L.: Learning decision lists. Machine Learning 2(3), 229–246 (1987), citeseer.nj.nec.com/rivest87learning.html

5. Janikow, C.: Indictive Learning of Decision Rules in Attribute-Based Examples: a Knowledge-Intensive Genetic Algorithm Approach. Phd dissertation, University of North Carolina (1991)

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neuronal Communication Genetic Algorithm-Based Inductive Learning;Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms;2021

2. A Genetic Programming Strategy to Induce Logical Rules for Clinical Data Analysis;Processes;2020-11-27

3. Neuronal Communication Genetic Algorithm-Based Inductive Learning;Journal of Information Technology Research;2020-04

4. An evolutionary framework for machine learning applied to medical data;Knowledge-Based Systems;2019-12

5. A Genetic Programming Approach Applied to Feature Selection from Medical Data;Practical Applications of Computational Biology and Bioinformatics, 12th International Conference;2018-08-17