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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]
Learning Hierarchical Structure via Nearest Neighbor Search and Formal Concept Analysis Yuka Yoneda (Osaka Univ.), Mahito Sugiyama (NII), Takashi Washio (Osaka Univ.)  IBISML2018-53 |
We propose to learn a hierarchical structure of clusters from continuous data via two-step procedure: We first binariz... [more] |
IBISML2018-53 pp.69-73 |
| QIT (2nd) |
2013-11-18 - 2013-11-19 |
Tokyo | Waseda Univ. | [Poster Presentation]
Quantum state data mining Takafumi Ono, Ryo Okamoto, Shigeki Takeuchi (Hokkaido Univ.), Satoshi Hara, Takashi Washio (Osaka Univ.) |
[more] | |
| IBISML | 2012-11-07 15:30 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Structure Learning for Anomaly Localization Satoshi Hara, Takashi Washio (Osaka Univ.) IBISML2012-36 |
In this paper, we propose a graphical model learning algorithm for an anomaly localization. We introduce a new regulariz... [more] | IBISML2012-36 pp.17-22 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Prismatic algorithm for discrete D.C. programming problem Yoshinobu Kawahara, Takashi Washio (Osaka Univ.) IBISML2011-56 |
In this paper, we propose the first exact algorithm for minimizing the difference of two submodular functions (D.S.), {\... [more] | IBISML2011-56 pp.93-98 |
| IBISML | 2011-11-10 15:45 |
Nara | Nara Womens Univ. | A Method for Estimating Binary Data Generating Process Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki (Osaka Univ.), Akihiro Yamamoto (Kyoto Univ.), Yoshinobu Kawahara (Osaka Univ.) IBISML2011-65 |
In our previous study, we proposed a method to identify a data generation process governing its given binary data set. H... [more] | IBISML2011-65 pp.155-162 |
| IBISML | 2011-03-28 16:50 |
Osaka | Nakanoshima Center, Osaka Univ. | Enumerating Feature-Sets with Submodularity Yoshinobu Kawahara (Osaka Univ.), Koji Tsuda (AIST), Takashi Washio (Osaka Univ.), Akiko Takeda (Keio Univ.), Shin-ichi Minato (Hokkaido Univ.) IBISML2010-113 |
Selecting relevant features is a fundamental task in machine learning. Although many approaches have been investigated s... [more] | IBISML2010-113 pp.63-68 |
| IBISML | 2011-03-29 12:00 |
Osaka | Nakanoshima Center, Osaka Univ. | Learning an Invariant Substructure of Multiple Graphical Gaussian Models Satoshi Hara, Takashi Washio (Osaka Univ.) IBISML2010-129 |
Dependency structure among variables is closely tied to an underlying data generating process. Therefore, learning a dep... [more] | IBISML2010-129 pp.177-181 |
| IBISML | 2010-06-14 11:20 |
Tokyo | Takeda Hall, Univ. Tokyo | [Invited Talk]
Relational Data Mining on Causal Relations Between Variables Takashi Washio (Osaka Univ.) IBISML2010-3 |
Under development of sensing techniques to ease simultaneous measurements of many variables and features on objects, the... [more] | IBISML2010-3 p.5 |
| KBSE, JSAI-KBS | 2006-01-24 11:30 |
Kanagawa | Keio Univ.(Hiyoshi) | Modeling of Enterprise Profit Risk based on Random Tree based Committee Learning Yasuo Shinnou (Kwansei Gakuin Univ.), Takashi Washio (Osaka Univ.), Katsutoshi Yada (Kansai Univ.), Hiroshi Motoda (Osaka Univ.), Takashi Okada (Kwansei Gakuin Univ.) |
[more] | KBSE2005-30 pp.19-24 |
| KBSE, JSAI-KBS | 2005-01-24 13:10 |
Kanagawa | Keio University | Realtion between Conditions and Risk Acceptance of Employment by Using QAR Analysis Atsushi Fujimoto, Takashi Washio, Hiroshi Motoda (Osaka Univ.) |
(Advance abstract in Japanese is available) [more] | KBSE2004-28 pp.25-30 |
| IA | 2004-05-26 10:30 |
Fukushima | Seiryouzan Club | Density-based high speed mass-mail detection technique and its evaluation Hiromitsu Fujikawa (KDDI), Kenichi Yoshida (Univ. of Tsukuba), Fuminori Adachi, Takashi Washio, Hiroshi Motoda (Osaka Univ.), Teruaki Homma, Akihiro Nakashima (KDDI), Katsuyuki Yamazaki (KDDI Labs) |
(Advance abstract in Japanese is available) [more] | IA2004-1 pp.1-6 |
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