A Classifier Learning Method through Data Summaries
Author:
Affiliation:
1. Faculty of Information Sciences, Hiroshima City University
2. Graduate School of Information Sciences, Hiroshima City University
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
https://www.jstage.jst.go.jp/article/tjsai/17/5/17_5_565/_pdf
Reference19 articles.
1. [Blake 98] Blake, C., Keogh, E., and Merz, C.: UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html] (1998)
2. [Breiman 84] Breiman, L., Friedman, J. H., Olshen, R. A., and Stone, C. J.: Classification and Regression Trees, Chapman & Hall (1984)
3. [Catlett 91a] Catlett, J.: Megainduction: A Test Flight, in Proc. the 8th International Workshop on Machine Learning, pp. 596--599 (1991)
4. [Catlett 91b] Catlett, J.: Megainduction: machine learning on very large databases, PhD thesis, Basser Department of Computer Science, University of Sydney, Australia (1991)
5. [Comer 79] Comer, D.: The Ubiquitous B-tree, ACM Computing Surveys, Vol. 11, No. 2, pp. 121--137 (1979)
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