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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2022-09-15 11:20 |
Kanagawa | Keio Univ. (Yagami Campus) (Kanagawa, Online) (Primary: On-site, Secondary: Online) |
Selection Bias Analysis in Online Advertising Shinya Suzumura, Hitoshi Abe, Shumpei Okura (YJ)  IBISML2022-32 |
In online advertising, a set of potential advertisements can be ranked by a certain auction system where usually the top... [more] | IBISML2022-32 pp.1-8 |
| IBISML | 2022-09-15 15:05 |
Kanagawa | Keio Univ. (Yagami Campus) (Kanagawa, Online) (Primary: On-site, Secondary: Online) |
Improving Efficiency of Regularization Path Computation in Safe Pattern Pruning via Multiple Referential Solutions Takumi Yoshida (Nitech), Hiroyuki Hanada (RIKEN), Kazuya Nakagawa, Shinya Suzumura, Onur Boyar, Kazuki Iwata (Nitech), Shun Shimura, Yuji Tanaka (NaogyaU), Masayuki Karasuyama (Nitech), Kouichi Taji (NaogyaU), Koji Tsuda (UTokyo/RIKEN), Ichiro Takeuchi (NaogyaU/RIKEN) IBISML2022-38 |
Safe Screening and Safe Pattern Pruning are methods for efficiently modeling high-dimensional features by $L_1$-regulari... [more] | IBISML2022-38 pp.39-46 |
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 10:45 |
Toyama | (Toyama) | PRMU2016-59 IBISML2016-14 |
[more] | PRMU2016-59 IBISML2016-14 pp.39-45 |
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 15:45 |
Toyama | (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 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-23 14:15 |
Okinawa | Okinawa Institute of Science and Technology (Okinawa) | 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 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-23 14:40 |
Okinawa | Okinawa Institute of Science and Technology (Okinawa) | Selective inference for high-order interaction model Shinya Suzumura, Kazuya Nakagawa (NIT), Koji Tsuda (UT), Ichiro Takeuchi (NIT) IBISML2015-11 |
Finding statistically significant high-order interaction features in predictive modeling is important but challenging ta... [more] | IBISML2015-11 pp.69-74 |
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan (Tokyo) | [Poster Presentation]
Non-Convex Optimization of Robust Support Vector Regression by Utilizing Parametric Programming Shinya Suzumura, Ichiro Takeuchi (Nagoya Inst. of Tech.), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2013-45 |
In this paper, we propose a novel optimization method for robust support vector regression(SVR) that has robustness to o... [more] | IBISML2013-45 pp.69-75 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 09:30 |
Tottori | (Tottori) | Optimization for Robust Support Vector Machine Utilizing Homotopy Approach Shinya Suzumura, Kohei Ogawa, Ichiro Takeuchi (Nagoya Inst. of Tech.), Masashi Sugiyama (Tokyo Inst. of Tech.) PRMU2013-36 IBISML2013-16 |
In this paper, we propose a novel optimization method for robust SVM that has robustness to outliers. In robust SVM, it ... [more] | PRMU2013-36 IBISML2013-16 pp.19-24 |
| NC, MBE (Joint) |
2011-12-20 11:45 |
Aichi | Nagoya Institute of Technology (Aichi) | Complex-valued Multilayer Perceptron Search Unilizing Eigen Vector Descent and Reducibility Mapping Shinya Suzumura, Ryohei Nakano (Chubu Univ.) NC2011-88 |
A complex-valued multilayer perceptron (MLP) can approximate a periodic or unbounded function, which cannot be easily re... [more] | NC2011-88 pp.25-30 |
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