| Position | Professor |
|---|---|
| Degree | Ph.D. |
| Specialty | Machine learning |
| Current Research Interests | Theory of statistical machine learning |
- Professional Caree
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
2011.4 Nara Institute of Science and Technology, Mathematical Informatics Laboratory, Assistant professor
2012.4 Future University Hakodate, Associate professor
2021.4 Graduate University of Advanced Studies, Professorr
- Selected publications
T. Takenouchi.
A Novel Parameter estimation method for Boltzmann machine. Neural computation, 27(11), pp. 2423-2446, 2015.T. Takenouchi, and S. Ishii.
Binary classifiers ensemble based on Bregman divergence for multi-class classification. Neurocomputing, 273(17), pp. 424-434, 2018.
T. Takenouchi, and T. Kanamori.
Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences. The Journal of Machine Learning Research, 18(56), pp. 1-26, 2017. http://www.jmlr.org/papers/v18/15-596.html
