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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Analysis of Empirical Bayes Estimation for Three Parameter Group Lasso Tsukasa Yoshida, Kazuho Watanabe (Toyohashi Tech)  IBISML2018-93 |
As sparse estimation methods, Lasso and Group Lasso are often used for wide applications. It is necessary for successful... [more] | IBISML2018-93 pp.367-372 |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | [Poster Presentation]
Empirical Bayesian Tree Masashi Sekino (SMN) IBISML2017-39 |
We propose a new decision tree learning algorithm ``Empirical Bayesian Tree (EBT)'', which models the outputs of a leaf ... [more] | IBISML2017-39 pp.31-38 |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Theoretical Analysis of Empirical MAP and Empirical Partially Bayes Shinichi Nakajima (TU Berlin), Masashi Sugiyama (Univ. of Tokyo) IBISML2014-38 |
Variational Bayesian (VB) learning is known to be a promising approximation to Bayesian learning with computational... [more] |
IBISML2014-38 pp.25-32 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2014-06-25 16:10 |
Okinawa | Okinawa Institute of Science and Technology | A Discriminative Model resistant to Malicious Annotators Atsutoshi Kumagai, Shingo Orihara, Yasushi Okano, Tomoharu Iwata, Yoshihito Oshima (NTT) NC2014-1 IBISML2014-1 |
Recently, there have been a lot of studies on learning a classifier from a large amount of labeled data collected from c... [more] | NC2014-1 IBISML2014-1 pp.17-23 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Inferring the time-varying input signals and the hidden states from the membrane potential of a neuron Ryota Kobayashi (Ritsumeikan Univ.), Petr Lansky (Acad. of Sci. of the Czech), Shigeru Shinomoto (Kyoto Univ.) IBISML2011-52 |
We consider an estimation problem of the time-varying input signals and the ion channel states from a voltage trace of a... [more] | IBISML2011-52 pp.67-70 |
| IBISML | 2010-11-05 15:30 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Regularization Strategies and Empirical Bayesian Learning for MKL Ryota Tomioka, Taiji Suzuki (Univ. of Tokyo) IBISML2010-100 |
Multiple kernel learning (MKL) has received considerable attention recently. In this paper, we show how different MKL al... [more] | IBISML2010-100 pp.303-310 |
| NC, NLP | 2008-06-26 13:50 |
Okinawa | University of the Ryukyus | Differential gene detection incorporating individual characters of samples and multiplicity of test Shigeyuki Oba, Shin Ishii (Kyoto Univ.) NLP2008-3 NC2008-13 |
For better detection of significant genes with differential expression (DE) between different clinical groups based on m... [more] | NLP2008-3 NC2008-13 pp.13-18 |
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