Research
- Information Geometry, Statistical analysis of Ensemble Learning(Boosting), Multiclass classification by combining multiple binary classifiers
- Bioininformatics(Discriminant Analysis)
Publications
Lectures
2011 Machine Learning:
Sampling method
2010 Theoretical Life Science:
Classification,
Ensemble learning,
Model selection,
Statistical test
Codes by R
Demo programs of Boosting algorithms written in
R:
boost.tar.gz
Contents: Binary AdaBoost, U-Boost with stump, AdaBoost.M1 with rpart, AdaBoost.M2 with stump
Usage: See demo.*.r. For demo.*.r, two libraries (rpart and mlbench) are necessary.
These codes may include some bugs.
Please use codes at your own risk!!
Biography
- 1999.3 University of Tokyo(B.Eng.)
- 2001.3 University of Tokyo(M.Eng.)
- 2004.3 the Graduate University for Advanced Studies(Ph.D.)
- 2004.4 Institute of Statistical Mathematics,Project Researcher
- 2005.4 Nara Institute of Science and Technology, Bioinformatics Unit, Postdoctoral fellow
- 2006.4 Nara Institute of Science and Technology, Laboratory for Theoretical Life-Science, Postdoctoral fellow
- 2008.4 Nara Institute of Science and Technology, Laboratory for Theoretical Life-Science, Assistant professor
- 20011.4-Nara Institute of Science and Technology, Mathematical Informatics Laboratory, Assistant professor
Links
Takashi Takenouchi（ttakashi@is.naist.jp）
Last updated: 2009.03.12