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- Takafumi Kanamori, Shohei Hido, Masashi Sugiyama
- Journal of Machine Learning Research
- 2009

We address the problem of estimating the ratio of two probabi lity density functions, which is often referred to as theimportance. The importance values can be used for various succeeding ta sks suchâ€¦ (More)

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods,â€¦ (More)

- Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori
- Knowledge and Information Systems
- 2010

We propose a new statistical approach to the problem of inlier-based outlier detection, i.e., finding outliers in the test set based on the training set consisting only of inliers. Our key idea is toâ€¦ (More)

- Takafumi Kanamori, Shohei Hido, Masashi Sugiyama
- NIPS
- 2008

We address the problem of estimating the ratio of two probability density functions (a.k.a. theimportance). The importance values can be used for various succeeding tasks such as non-stationarityâ€¦ (More)

- Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama
- Neural Computation
- 2011

Divergence estimators based on direct approximation of density ratios without going through separate approximation of numerator and denominator densities have been successfully applied to machineâ€¦ (More)

- Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara
- IEICE Transactions
- 2010

Estimating the conditional mean of an input-output relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution has multi-modality,â€¦ (More)

- Taiji Suzuki, Masashi Sugiyama, Takafumi Kanamori, Jun Sese
- BMC Bioinformatics
- 2009

Although microarray gene expression analysis has become popular, it remains difficult to interpret the biological changes caused by stimuli or variation of conditions. Clustering of genes andâ€¦ (More)

- Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi
- Neural Computation
- 2004

We aim at an extension of AdaBoost to U-Boost, in the paradigm to build a stronger classification machine from a set of weak learning machines. A geometric understanding of the Bregman divergenceâ€¦ (More)

- Taiji Suzuki, Masashi Sugiyama, Jun Sese, Takafumi Kanamori
- FSDM
- 2008

Mutual information is useful in various data processing tasks such as feature selection or independent component analysis. In this paper, we propose a new method of approximating mutual informationâ€¦ (More)

- Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori
- Neural Computation
- 2009

The goal of regression analysis is to describe the stochastic relationship between an input vector x and a scalar output y. This can be achieved by estimating the entire conditional density p(y x).â€¦ (More)