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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | Tensor Decomposition with Smoothness Masaaki Imaizumi (UT), Kohei Hayashi (AIST)  IBISML2016-94 |
(To be available after the conference date) [more] | IBISML2016-94 pp.345-352 |
| IBISML | 2015-11-27 14:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Bayesian Masking for Sparse Feature Selection Yohei Kondo (Kyoto Univ.), Kohei Hayashi (NII), Shin-ichi Maeda (Kyoto Univ.) IBISML2015-88 |
In linear regression, we can reduce the weights of irrelevant features by L2 or L1 regularization. However, such a regul... [more] | IBISML2015-88 pp.265-272 |
| HCS | 2013-01-24 12:25 |
Kochi | Kochi City Culture-Plaza CUL-PORT | A study of essential factors of organizational management in a state of emergency
-- From the experience of Plus Corporation in the Great East Japan Earthquake -- Takeshi Sato, Shutaro Takeuchi, Kyoko Hayashi, Kohei Hayashi, Yuko Hamaya (Globis University) HCS2012-54 |
(To be available after the conference date) [more] | HCS2012-54 pp.1-6 |
| IBISML | 2012-11-07 15:30 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Weighted Likelihood Policy Search Tsuyoshi Ueno (JST), Kohei Hayashi (UT), Takashi Washio, Yoshinobu Kawahara (OU) IBISML2012-57 |
[more] | IBISML2012-57 pp.165-170 |
| IBISML | 2012-11-08 15:00 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Optimization of Feature Allocation on Parallel Stochastic Gradient Descent for Sparse Data Kohei Hayashi (Univ. of Tokyo), Ryohei Fujimaki (NEC Labs America) IBISML2012-77 |
(To be available after the conference date) [more] | IBISML2012-77 pp.303-310 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | An Extension of Probabilistic PCA for Correlated Samples Kohei Hayashi (NAIST), Masanori Kawakita (Kyushu Univ), Kazushi Ikeda (NAIST) IBISML2011-50 |
Principal component analysis (PCA) is one of dimensional reduction methods and has widely been used for feature extracti... [more] | IBISML2011-50 pp.57-60 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | A kernel-based approach for matrix and tensor completion Kohei Hayashi, Takashi Takenouchi (NAIST), Ryota Tomioka, Hisashi Kashima (Univ. Tokyo) IBISML2011-53 |
We study a new kernel-based framework for matrix and tensor completion problems. Our model provides a consistent way to ... [more] | IBISML2011-53 pp.71-77 |
| IBISML | 2011-06-20 10:35 |
Tokyo | Takeda Hall | On the Convergence of Convex Tensor Estimation Ryota Tomioka, Taiji Suzuki (Univ. Tokyo), Kohei Hayashi (NAIST), Hisashi Kashima (Univ. Tokyo) IBISML2011-14 |
凸最適化に基づくテンソル分解アルゴリズムの統計的な性能について解析し，報 告する．従来テンソル分解は非凸の最適化問題として定式化され，そのため性 能の解析は困難であった．本論文では，ある条件のもとで，推定されたテンソ ルを$\h... [more] |
IBISML2011-14 pp.97-102 |
| IBISML | 2011-03-29 10:10 |
Osaka | Nakanoshima Center, Osaka Univ. | Tensor factorization using auxiliary information Atsuhiro Narita (Univ. Tokyo), Kohei Hayashi (NAIST), Ryota Tomioka (Univ. Tokyo), Hisashi Kashima (Univ. of Tokyo/JST) IBISML2010-124 |
Most of the existing completion methods of tensors (i.e. multi-way arrays) only assume that tensors to be completed are... [more] |
IBISML2010-124 pp.139-146 |
| NC, MBE (Joint) |
2009-03-13 16:05 |
Tokyo | Tamagawa Univ. | Dynamic relational data analysis based on exponential family matrix factorization. Kohei Hayashi (Nara Inst. of Sci and Tech.), Jun-ichiro Hirayama (Kyoto Univ.), Shin Ishii (Kyoto Univ./Nara Inst. of Sci and Tech.) NC2008-175 |
We propose a new probabilistic model to analyze time-varying relational data such as e-mail transaction profiles. Our mo... [more] | NC2008-175 pp.423-428 |
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