Improving Inductive learning in real-world domains through the identification of dependencies: The TIM Framework
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/3-540-64574-8_431
Reference12 articles.
1. Quinlan,J.R. “Learning Efficient Classification Procedures and their Application to Chess End Games”. Machine Learning: an Artificial Intelligence ApproachVolumen/no: 1Pag. 463–482 1983
2. Michalski, R.S. “A Theory and Methodology of Inductive Learning”. Machine Learning: an Artificial Intelligence Approach. Volumen/no: 1. Pag. 83–134. 1983.
3. Peña, D. “Estadística: modelos y métodos”. Ed. Alianza Universidad. 1992
4. Lippmann, R.P. “An Introduction to Computing with Neural Networks”. IEEE ASSP Magazine. Volumen/no: Abril. Pag. 4–22.1987.
5. Quinlan, J.R. “C4.5: Programs for Machine Learning”. Ed. Morgan Kaufmann. 1993
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