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- 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)

- Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata
- Neural Computation
- 2007

Boosting is known as a gradient descent algorithm over loss functions. It is often pointed out that the typical boosting algorithm, Adaboost, is highly affected by outliers. In this letter, lossâ€¦ (More)

- Takashi Takenouchi, Shin Ishii
- 2007 IEEE Symposium on Foundations ofâ€¦
- 2007

In this article, we present a new method of multiclass classification by combining multiple binary classifiers in the context of information transmission theory. In the framework of the errorâ€¦ (More)

- Kohei Hayashi, Takashi Takenouchi, +5 authors Kazushi Ikeda
- 2010 IEEE International Conference on Data Mining
- 2010

In this paper, we study probabilistic modeling of heterogeneously attributed multi-dimensional arrays. The model can manage the heterogeneity by employing an individual exponential-familyâ€¦ (More)

- Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima
- ICML Unsupervised and Transfer Learning
- 2012

Multi-task learning aims at transferring knowledge between similar tasks. The multi-task Gaussian process framework of Bonilla et al. models (incomplete) responses of C data points for R tasks (e.g.,â€¦ (More)

- Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori
- Neural Computation
- 2008

We discuss robustness against mislabeling in multiclass labels for classification problems and propose two algorithms of boosting, the normalized Eta-Boost.M and Eta-Boost.M, based on theâ€¦ (More)

- Takashi Takenouchi, Osamu Komori, Shinto Eguchi
- Neural Computation
- 2012

While most proposed methods for solving classification problems focus on minimization of the classification error rate, we are interested in the receiver operating characteristic (ROC) curve, whichâ€¦ (More)

- Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata
- ICONIP
- 2004

Boosting algorithm is understood as the gradient descent algorithm of a loss function. It is often pointed out that the typical boosting algorithm, Adaboost, is seriously affected by the outliers. Inâ€¦ (More)

- Kohei Hayashi, Takashi Takenouchi, +5 authors Kazushi Ikeda
- Knowledge and Information Systems
- 2011

In this paper, we propose a new probabilistic model of heterogeneously attributed multi-dimensional arrays. The model can manage heterogeneity by employing individual exponential family distributionsâ€¦ (More)

- Takashi Takenouchi, Shin Ishii
- ICONIP
- 2012