The AQ17-DCI system for data-driven constructive induction and its application to the analysis of world economics-Reference-Cited by-同舟云学术

The AQ17-DCI system for data-driven constructive induction and its application to the analysis of world economics

Published:1996 Issue: Volume: Page:108-117
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Bloedorn Eric,Michalski Ryszard S.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-61286-6_136.pdf

Reference41 articles.

1. Baim, P.W., “The PROMISE Method for Selecting the Most Relevant Attributes for Inductive Learning Systems”, Rep. No. UIUCDCS-F-82-898, Dept. of Computer Science, University of Illinois-Urbana Champaign, IL, 1982.

2. Bloedorn, E. and Michalski, R.S. “Data-Driven Constructive Induction in AQ17-PRE: A Method and Experiments”, Proceedings of the Third International Conference on Tools for AI, November 1991a.

3. MLI 91-12;E. Bloedorn,1991

4. Bloedorn, E., Michalski, R., and Wnek, J., “Multistrategy Constructive Induction,” Proceedings of the Second International Workshop on Multistrategy Learning,” Harpers Ferry, WV, May 26–29, 1993.

5. Bloedorn, E., Michalski, R.S., and Wnek, J., “Matching Methods with Problems: A Comparative Analysis of Constructive Induction Approaches”, Reports of the Machine Learning and Inference Laboratory, MLI 94-2, George Mason University, Fairfax, VA, 1994.

Cited by 4 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. A Fuzzy-GA Wrapper-Based Constructive Induction Model;Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence;2009

2. Introducing IVSA: A new concept learning algorithm;Computers & Mathematics with Applications;2002-03

3. The Iterated Version Space Learning;Lecture Notes in Computer Science;1999

4. Machine learning of credible classifications;Advanced Topics in Artificial Intelligence;1997