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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) (Searched in: 2017)
Search Results: Keywords 'from:2018-03-05 to:2018-03-05'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2018-03-05 13:00 |
Fukuoka | Nishijin Plaza, Kyushu University | Real Log Canonical Threshold and Bayesian Generalization Error of Mixture of Poisson Distributions Kenichiro Sato, Sumio Watanabe (Tokyo Inst. of Tech.)  IBISML2017-90 |
[more] | IBISML2017-90 pp.1-6 |
| IBISML | 2018-03-05 13:25 |
Fukuoka | Nishijin Plaza, Kyushu University | Information Geometry of Modal Linear Regression Keishi Sando (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba) IBISML2017-91 |
(To be available after the conference date) [more] | IBISML2017-91 pp.7-14 |
| IBISML | 2018-03-05 13:50 |
Fukuoka | Nishijin Plaza, Kyushu University | Metric Learning for k-Nearest Neighbor Estimation using Multiple Distance Metrics Yokuto Seki, Noboru Murata (Waseda Univ.) IBISML2017-92 |
The relationship between unstructured datasets such as graphs can be measured by multiple distance metrics. In this pap... [more] |
IBISML2017-92 pp.15-19 |
| IBISML | 2018-03-05 14:15 |
Fukuoka | Nishijin Plaza, Kyushu University | Exponential Family of Markov Kernels and Asymptotic Exponential Family of Markov Sources Jun'ichi Takeuchi (Kyushu Univ.), Hiroshi Nagaoka (UEC) IBISML2017-93 |
For parametric models of Markov sources, we prove that the notion of asymptotic exponential family is equivalent to the ... [more] | IBISML2017-93 pp.21-25 |
| IBISML | 2018-03-05 16:10 |
Fukuoka | Nishijin Plaza, Kyushu University | Bootstrap Outlier Test Hayato Watanabe (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba/RIKEN), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.) IBISML2017-94 |
[more] | IBISML2017-94 pp.27-33 |
| IBISML | 2018-03-05 16:35 |
Fukuoka | Nishijin Plaza, Kyushu University | Classification of Intra-Week and Intra-Day Walking Patterns and Their Effect on Body-Composition Changes Using A Hierarchical Model Shunichi Nomura (ISM), Michiko Watanabe, Yuko Oguma (Keio Univ.) IBISML2017-95 |
In this study, we extract intra-week and intra-day activity patterns based on hourly step-count data recorded using an a... [more] | IBISML2017-95 pp.35-40 |
| IBISML | 2018-03-05 17:00 |
Fukuoka | Nishijin Plaza, Kyushu University | Transformed Multiple Matrix Factorization: Towards Utilizing Heterogeneous Auxiliary Information Taira Tsuchiya (Waseda Univ.), Tomoharu Iwata (NTT), Tetsuji Ogawa (Waseda Univ.) IBISML2017-96 |
Matrix factorization is widely used for a variety of fields, such as computer vision, document analysis, signal processi... [more] | IBISML2017-96 pp.41-48 |
| IBISML | 2018-03-05 17:25 |
Fukuoka | Nishijin Plaza, Kyushu University | Bayesian Independent Component Analysis under Hierarchical Model on Latent Variables Kai Asaba, Shota Saito, Shunsuke Horii, Toshiyasu Matsushima (Waseda Univ.) IBISML2017-97 |
Independent component analysis (ICA) deals with the problem of estimating unknown latent variables which generate the ob... [more] | IBISML2017-97 pp.49-53 |
| 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 | 2018-03-06 10:25 |
Fukuoka | Nishijin Plaza, Kyushu University | Using local minima to accelerate Krawczyk-Hansen global optimization Hiroaki Takada (Univ. of Tokyo), Kazuki Yoshizoe (RIKEN), Daisuke Ishii (Univ. of Fukui), Koji Tsuda (Univ. of Tokyo) IBISML2017-99 |
Krawczyk-Hansen algorithm employs interval calculus and branch-and-bound search to solve a global optimization problem w... [more] | IBISML2017-99 pp.63-70 |
| IBISML | 2018-03-06 10:50 |
Fukuoka | Nishijin Plaza, Kyushu University | The improving method of Singular Bayesian information criterion by analyzing learning coefficients Sayaka Suzuki, Souta Shina, Miki Aoyagi (Nihon Univ.) IBISML2017-100 |
Real data associated with genetic analysis, data mining, image or speech recognition, artificial intelligence, the cont... [more] |
IBISML2017-100 pp.71-76 |
| IBISML | 2018-03-06 11:15 |
Fukuoka | Nishijin Plaza, Kyushu University | Selecting discriminative and representative patterns from sequence data: an approach based on classification model and morse complex Masayuki Karasuyama (Nagoya Inst. of Tech./NIMS/JST), Ichiro Takeuchi (Nagoya Inst. of Tech./NIMS/RIKEN) IBISML2017-101 |
We study classification problem on the sequences of continuous observations. In particular, we are interested in identif... [more] | IBISML2017-101 pp.77-84 |
| IBISML | 2018-03-06 13:10 |
Fukuoka | Nishijin Plaza, Kyushu University | Sonar2image: GAN-based night vision for fish monitoring Kento Shin, Kei Terayama, Katsunori Mizuno, Koji Tsuda (Univ. of Tokyo) IBISML2017-102 |
Fish monitoring in an aquaculture farm is indispensable for managing fish growth and health status. However, it is not ... [more] |
IBISML2017-102 pp.85-89 |
| IBISML | 2018-03-06 13:35 |
Fukuoka | Nishijin Plaza, Kyushu University | Applicability of Fast Decimation Algorithm
-- Sparse two-parameter Boltzmann machine as a benchmark function -- Daisuke Motoki, Shohei Watabe, Tetsuro Nikuni (Tokyo Univ. of Science) IBISML2017-103 |
A decimation algorithm was developed by Decelle et al. for an inverse problem optimization method, which sequentially re... [more] | IBISML2017-103 pp.91-95 |
| IBISML | 2018-03-06 14:00 |
Fukuoka | Nishijin Plaza, Kyushu University | Natural gradient method by the symmetry in data for complex valued neural networks Junichi Mukuno, Hajime Matsui (Toyota Technological Inst.) IBISML2017-104 |
On the real valued neural networks, the natural gradient method is proposed by Amari to resolve the problem the speed of... [more] | IBISML2017-104 pp.97-102 |
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