Ensemble Pruning of MT Method

Author:

Tateishi Katsuhiko1,Iwamoto Hiroki1,Nagata Yasushi1

Affiliation:

1. Waseda University

Publisher

The Japanese Society for Quality Control

Subject

Anesthesiology and Pain Medicine

Reference11 articles.

1. [1] Tatebayashi, K., Teshima, S., and Hasegawa, R. (2008). Introduction to MT System, JUSE Publishing Co. (in Japanese)

2. [2] Ohkubo, M., and Nagata, Y. (2015). Methods for analyzing small sample data in MT systems,Journal of Japan Industrial Management Association,66(1), pp.30-38. (in Japanese)

3. [3] Uemura, K. (2014). Application of ensemble learning method for MT method constraint resolution, Waseda University Graduation Thesis.

4. [4] Zhou, Zhi-Hua. (2012). Ensemble Methods: Foundations and Algorithms, CRC Press.

5. [5] Margineantu, Dragos D., and Thomas G. Dietterich (1997). Pruning adaptive boosting, ICML. 97.

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