Takafumi Kanamori

	2009
17		Taiji Suzuki, Masashi Sugiyama, Takafumi Kanamori, Jun Sese: Mutual information estimation reveals global associations between stimuli and biological processes. BMC Bioinformatics 10(S-1): (2009)
16		Akiko Takeda, Takafumi Kanamori: A robust approach based on conditional value-at-risk measure to statistical learning problems. European Journal of Operational Research 198(1): 287-296 (2009)
15		Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori: Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression. Neural Computation 21(2): 533-559 (2009)
	2008
14		Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori: Inlier-Based Outlier Detection via Direct Density Ratio Estimation. ICDM 2008: 223-232
13		Takafumi Kanamori, Shohei Hido, Masashi Sugiyama: Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection. NIPS 2008: 809-816
12		Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori: Robust Boosting Algorithm Against Mislabeling in Multiclass Problems. Neural Computation 20(6): 1596-1630 (2008)
	2007
11		Takafumi Kanamori: Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability. ALT 2007: 358-372
10		Takafumi Kanamori: Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability. IEICE Transactions 90-D(12): 2033-2042 (2007)
9		Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata: Robust Loss Functions for Boosting. Neural Computation 19(8): 2183-2244 (2007)
8		Takafumi Kanamori: Pool-based active learning with optimal sampling distribution and its information geometrical interpretation. Neurocomputing 71(1-3): 353-362 (2007)
	2006
7		Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori: The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator. IJCNN 2006: 153-158
6		Takafumi Kanamori, Ichiro Takeuchi: Conditional mean estimation under asymmetric and heteroscedastic error by linear combination of quantile regressions. Computational Statistics & Data Analysis 50(12): 3605-3618 (2006)
5		Takafumi Kanamori, Takashi Takenouchi, Noboru Murata: Geometrical Structure of Boosting Algorithm. New Generation Comput. 25(1): 117-141 (2006)
	2004
4		Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata: The Most Robust Loss Function for Boosting. ICONIP 2004: 496-501
3		Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi: Information Geometry of U-Boost and Bregman Divergence. Neural Computation 16(7): 1437-1481 (2004)
	2002
2		Takafumi Kanamori: A New Sequential Algorithm for Regression Problems by Using Mixture Distribution. ICANN 2002: 535-540
1		Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori: Robust Regression with Asymmetric Heavy-Tail Noise Distributions. Neural Computation 14(10): 2469-2496 (2002)

Coauthor Index

1	Yoshua Bengio	[1]
2	Shinto Eguchi	[3] [4] [9] [12]
3	Shohei Hido	[13] [14]
4	Hisashi Kashima	[14]
5	Noboru Murata	[3] [4] [5] [9] [12]
6	Kaname Nomura	[7] [15]
7	Jun Sese	[17]
8	Masashi Sugiyama	[13] [14] [17]
9	Taiji Suzuki	[17]
10	Akiko Takeda	[16]
11	Takashi Takenouchi	[3] [4] [5] [9] [12]
12	Ichiro Takeuchi	[1] [6] [7] [15]
13	Yuta Tsuboi	[14]

Colors in the list of coauthors