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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]
Safe Screening of a Sparse KLIEP Model on Markov Network Structural Change Detection Hiroki Sato (Gifu Univ), Motoki Shiga (Gifu Univ./JST/RIKEN), Makoto Yamada (Kyoto Univ./JST/RIKEN)  IBISML2018-52 |
On gene network analysis, detecting network structural changes among different cell states is necessary to understand bi... [more] | IBISML2018-52 pp.61-68 |
| IBISML | 2018-03-06 10:00 |
Fukuoka | Nishijin Plaza, Kyushu University | Learning rule-base model by Safe Pattern Pruning Hiroki Kato, Hiroyuki Hanada (Nagoya Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech./RIKEN/NIMS) IBISML2017-98 |
We consider learning the prediction model called ''rule-base model''. Rule-base model is the model which uses ''rules'' ... [more] | IBISML2017-98 pp.55-62 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | Safe Screening for Large Margin Metric Learning Tomoki Yoshida (NITech), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) IBISML2017-64 |
Large margin metric learning learns the optimal Mahalanobis distance for classification problem based on the margin maxi... [more] | IBISML2017-64 pp.219-226 |
| IBISML | 2017-03-07 10:00 |
Tokyo | Tokyo Institute of Technology | Safe Pruning Rule for Predictive Sequential Pattern Mining and Its Application to Bio-logging Data Analysis Kaoru Kishimoto (NITech), Masayuki Karasuyama (NIT), Kazuya Nakagawa (NITech), Kotaro Kimura (Osaka Univ.), Ken Yoda (Nagoya Univ.), Yuta Umezu, Shinsuke Kajioka (NITech), Koji Tsuda (UTokyo), Ichiro Takeuchi (NITech) IBISML2016-105 |
Recently, the analysis for time-series logging data of animal behaviors, called bio-logging data, has attracted a wide a... [more] | IBISML2016-105 pp.41-48 |
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 15:45 |
Toyama | Sparse learning for pattern mining problem by using Safe Pattern Pruning method Kazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama (NIT), Koji Tsuda (Univ. of Tokyo), Ichiro Takeuchi (NIT) PRMU2016-70 IBISML2016-25 |
In this paper we study predictive pattern mining problems where the goal is to construct a predictive model based on a s... [more] | PRMU2016-70 IBISML2016-25 pp.127-134 |
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| NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-23 14:15 |
Okinawa | Okinawa Institute of Science and Technology | Efficient sparse learning for combinatorial model by using safe screening approach Kazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama, Ichiro Takeuchi (NIT) IBISML2015-10 |
In a variety of machine learning tasks, it has been desired to incorporate high-order interaction effects of multiple co... [more] | IBISML2015-10 pp.63-68 |
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Safe Sample Screening Rule on Hinge Loss Minimization Kohei Ogawa, Yamato Kawamoto, Yoshiki Suzuki, Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2013-39 |
In this paper, we propose the algorithm that can speed up computing problems minimizing Hinge loss such as SVMs, via eli... [more] | IBISML2013-39 pp.23-30 |
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