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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) (Searched in: 2022)
Search Results: Keywords 'from:2022-09-15 to:2022-09-15'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2022-09-15 11:20 |
Kanagawa | Keio Univ. (Yagami Campus) (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 11:45 |
Kanagawa | Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
A Roadmap for Intellectual Evolution
-- How to Correct Complex Concept -- Kumon Tokumaru (Researcher) IBISML2022-33 |
Modern science is as confusing as a message game because it doesn’t know how to handle concepts. For the evolution of hu... [more] | IBISML2022-33 pp.9-12 |
| IBISML | 2022-09-15 13:10 |
Kanagawa | Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
A survey of technology that converts a live-action portrait of a person to match the style of a specific manga and outputs the image Tadaharu Nakashima, Tsuyoshi Okita (Kyutech) IBISML2022-34 |
[more] | IBISML2022-34 pp.13-18 |
| IBISML | 2022-09-15 13:35 |
Kanagawa | Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
Conversion from live-action image of people to manga and anime styles Mizuki Kawazu, Tsuyoshi Okita (Kyutech) IBISML2022-35 |
[more] | IBISML2022-35 pp.19-24 |
| IBISML | 2022-09-15 14:00 |
Kanagawa | Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
Interpretable Model Combining statements and DNN Ryo Okuda, Yuya Yoshikawa (STAIR) IBISML2022-36 |
In this study, we propose a method that achieves both interpretability of Decision Tree and the prediction accuracy of D... [more] | IBISML2022-36 pp.25-30 |
| IBISML | 2022-09-15 14:40 |
Kanagawa | Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
On Analysis of Generalization Error of Neural Networks Jun'ichi Takeuchi (Kyushu Univ.), Noboru Murata (Waseda Univ.), Kazushi Mimura (Hiroshima City Univ.), Yoshinari Takeishi, Masazumi Iida (Kyushu Univ.), Hiroshi Nagaoka (Univ. of Electro Communication) IBISML2022-37 |
[more] | IBISML2022-37 pp.31-38 |
| IBISML | 2022-09-15 15:05 |
Kanagawa | Keio Univ. (Yagami Campus) (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 |
| IBISML | 2022-09-15 15:30 |
Kanagawa | Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
An Genenalized LiNGAM when confunder is present
-- A formulation of ICA and the minimum shortest problem -- Joe Suzuki, Tianle Yang (Osaka U.) IBISML2022-39 |
In this study, we investigated a generalization of LiNGAM that allows the presence of confounding. Existing LiNGAMs assu... [more] | IBISML2022-39 pp.47-54 |
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