Search results for "Takafumi Kanamori"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama	Statistical analysis of kernel-based least-squares density-ratio estimation.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Takafumi Kanamori, Akiko Takeda, Taiji Suzuki	A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems	CoRR	2012	DBLP BibTeX RDF
1	Takafumi Kanamori, Akiko Takeda	Worst-Case Violation of Sampled Convex Programs for Optimization with Uncertainty.	J. Optimization Theory and Applications	2012	DBLP DOI BibTeX RDF
1	Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama	$f$ -Divergence Estimation and Two-Sample Homogeneity Test Under Semiparametric Density-Ratio Models.	IEEE Transactions on Information Theory	2012	DBLP DOI BibTeX RDF
1	Hidetoshi Shimodaira, Takafumi Kanamori, Masayoshi Aoki, Kouta Mine	Multiscale Bagging and Its Applications.	IEICE Transactions	2011	DBLP BibTeX RDF
1	Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori	Statistical outlier detection using direct density ratio estimation.	Knowl. Inf. Syst.	2011	DBLP DOI BibTeX RDF
1	Masashi Sugiyama, Makoto Yamada, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe	Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search.	Neural Networks	2011	DBLP DOI BibTeX RDF
1	Masashi Sugiyama, Taiji Suzuki, Yuta Itoh, Takafumi Kanamori, Manabu Kimura	Least-squares two-sample test.	Neural Networks	2011	DBLP DOI BibTeX RDF
1	Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama	Relative Density-Ratio Estimation for Robust Distribution Comparison.	NIPS	2011	DBLP BibTeX RDF
1	Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama	Theoretical Analysis of Density Ratio Estimation.	IEICE Transactions	2010	DBLP BibTeX RDF
1	Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara	Least-Squares Conditional Density Estimation.	IEICE Transactions	2010	DBLP BibTeX RDF
1	Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara	Conditional Density Estimation via Least-Squares Density Ratio Estimation.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Takafumi Kanamori	Deformation of log-likelihood loss function for multiclass boosting.	Neural Networks	2010	DBLP DOI BibTeX RDF
1	Masashi Sugiyama, Satoshi Hara, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe	Direct Density Ratio Estimation with Dimensionality Reduction.	SDM	2010	DBLP BibTeX RDF
1	Taiji Suzuki, Masashi Sugiyama, Takafumi Kanamori, Jun Sese	Mutual information estimation reveals global associations between stimuli and biological processes.	BMC Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Akiko Takeda, Takafumi Kanamori	A robust approach based on conditional value-at-risk measure to statistical learning problems.	European Journal of Operational Research	2009	DBLP DOI BibTeX RDF
1	Takafumi Kanamori, Shohei Hido, Masashi Sugiyama	A Least-squares Approach to Direct Importance Estimation.	Journal of Machine Learning Research	2009	DBLP DOI BibTeX RDF
1	Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori	Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression.	Neural Computation	2009	DBLP DOI BibTeX RDF
1	Taiji Suzuki, Masashi Sugiyama, Jun Sese, Takafumi Kanamori	Approximating Mutual Information by Maximum Likelihood Density Ratio Estimation.	Journal of Machine Learning Research - Proceedings Track	2008	DBLP BibTeX RDF
1	Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori	Robust Boosting Algorithm Against Mislabeling in Multiclass Problems.	Neural Computation	2008	DBLP DOI BibTeX RDF
1	Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori	Inlier-Based Outlier Detection via Direct Density Ratio Estimation.	ICDM	2008	DBLP DOI BibTeX RDF
1	Takafumi Kanamori, Shohei Hido, Masashi Sugiyama	Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection.	NIPS	2008	DBLP BibTeX RDF
1	Takafumi Kanamori	Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability.	IEICE Transactions	2007	DBLP DOI BibTeX RDF
1	Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata	Robust Loss Functions for Boosting.	Neural Computation	2007	DBLP DOI BibTeX RDF
1	Takafumi Kanamori	Pool-based active learning with optimal sampling distribution and its information geometrical interpretation.	Neurocomputing	2007	DBLP DOI BibTeX RDF
1	Takafumi Kanamori	Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability.	ALT	2007	DBLP DOI BibTeX RDF
1	Takafumi Kanamori, Ichiro Takeuchi	Conditional mean estimation under asymmetric and heteroscedastic error by linear combination of quantile regressions.	Computational Statistics & Data Analysis	2006	DBLP DOI BibTeX RDF
1	Takafumi Kanamori, Takashi Takenouchi, Noboru Murata	Geometrical Structure of Boosting Algorithm.	New Generation Comput.	2006	DBLP DOI BibTeX RDF	Large-scale Learning Machine, Boosting, Statistical Learning Theory, Classification Problem
1	Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori	The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator.	IJCNN	2006	DBLP DOI BibTeX RDF
1	Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi	Information Geometry of U-Boost and Bregman Divergence.	Neural Computation	2004	DBLP DOI BibTeX RDF
1	Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata	The Most Robust Loss Function for Boosting.	ICONIP	2004	DBLP DOI BibTeX RDF
1	Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori	Robust Regression with Asymmetric Heavy-Tail Noise Distributions.	Neural Computation	2002	DBLP DOI BibTeX RDF
1	Takafumi Kanamori	A New Sequential Algorithm for Regression Problems by Using Mixture Distribution.	ICANN	2002	DBLP DOI BibTeX RDF

Publications of "Takafumi Kanamori" ( http://dblp.L3S.de/Authors/Takafumi_Kanamori )