Takafumi Kanamori
Takafumi Kanamori
Verified email at c.titech.ac.jp - Homepage
Title
Cited by
Cited by
Year
A least-squares approach to direct importance estimation
T Kanamori, S Hido, M Sugiyama
The Journal of Machine Learning Research 10, 1391-1445, 2009
4442009
Density ratio estimation in machine learning
M Sugiyama, T Suzuki, T Kanamori
Cambridge University Press, 2012
3832012
Information geometry of U-Boost and Bregman divergence
N Murata, T Takenouchi, T Kanamori, S Eguchi
Neural Computation 16 (7), 1437-1481, 2004
2162004
Statistical outlier detection using direct density ratio estimation
S Hido, Y Tsuboi, H Kashima, M Sugiyama, T Kanamori
Knowledge and information systems 26 (2), 309-336, 2011
2032011
Density-ratio matching under the Bregman divergence: a unified framework of density-ratio estimation
M Sugiyama, T Suzuki, T Kanamori
Annals of the Institute of Statistical Mathematics 64 (5), 1009-1044, 2012
1362012
Mutual information estimation reveals global associations between stimuli and biological processes
T Suzuki, M Sugiyama, T Kanamori, J Sese
BMC bioinformatics 10 (1), 1-12, 2009
1332009
Approximating mutual information by maximum likelihood density ratio estimation
T Suzuki, M Sugiyama, J Sese, T Kanamori
New challenges for feature selection in data mining and knowledge discovery …, 2008
1182008
Efficient direct density ratio estimation for non-stationarity adaptation and outlier detection
T Kanamori, S Hido, M Sugiyama
Advances in neural information processing systems, 809-816, 2008
912008
Relative density-ratio estimation for robust distribution comparison
M Yamada, T Suzuki, T Kanamori, H Hachiya, M Sugiyama
Neural computation 25 (5), 1324-1370, 2013
892013
Statistical analysis of kernel-based least-squares density-ratio estimation
T Kanamori, T Suzuki, M Sugiyama
Machine Learning 86 (3), 335-367, 2012
882012
Inlier-based outlier detection via direct density ratio estimation
S Hido, Y Tsuboi, H Kashima, M Sugiyama, T Kanamori
2008 Eighth IEEE international conference on data mining, 223-232, 2008
852008
Least-squares conditional density estimation
M Sugiyama, I Takeuchi, T Suzuki, T Kanamori, H Hachiya, D Okanohara
IEICE Transactions on Information and Systems 93 (3), 583-594, 2010
832010
Relative density-ratio estimation for robust distribution comparison
M Yamada, T Suzuki, T Kanamori, H Hachiya, M Sugiyama
arXiv preprint arXiv:1106.4729, 2011
812011
Density-difference estimation
M Sugiyama, T Kanamori, T Suzuki, MC du Plessis, S Liu, I Takeuchi
Neural Computation 25 (10), 2734-2775, 2013
732013
Active learning algorithm using the maximum weighted log-likelihood estimator
T Kanamori, H Shimodaira
Journal of statistical planning and inference 116 (1), 149-162, 2003
692003
Nonparametric conditional density estimation using piecewise-linear solution path of kernel quantile regression
I Takeuchi, K Nomura, T Kanamori
Neural Computation 21 (2), 533-559, 2009
612009
Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search
M Sugiyama, M Yamada, P Von Buenau, T Suzuki, T Kanamori, ...
Neural Networks 24 (2), 183-198, 2011
532011
A density-ratio framework for statistical data processing
M Sugiyama, T Kanamori, T Suzuki, S Hido, J Sese, I Takeuchi, L Wang
IPSJ Transactions on Computer Vision and Applications 1, 183-208, 2009
512009
Conditional density estimation via least-squares density ratio estimation
M Sugiyama, I Takeuchi, T Suzuki, T Kanamori, H Hachiya, D Okanohara
Proceedings of the Thirteenth International Conference on Artificial …, 2010
482010
A robust approach based on conditional value-at-risk measure to statistical learning problems
A Takeda, T Kanamori
European Journal of Operational Research 198 (1), 287-296, 2009
482009
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Articles 1–20