Information and Systems-Information-Based Induction Sciences and Machine Learning(Date:2018/03/05)

Presentation
Real Log Canonical Threshold and Bayesian Generalization Error of Mixture of Poisson Distributions

Kenichiro Sato(Tokyo Inst. of Tech.),  Sumio Watanabe(Tokyo Inst. of Tech.),  

[Date]2018-03-05
[Paper #]IBISML2017-90
Information Geometry of Modal Linear Regression

Keishi Sando(Univ. of Tsukuba),  Shotaro Akaho(AIST),  Noboru Murata(Waseda Univ.),  Hideitsu Hino(Univ. of Tsukuba),  

[Date]2018-03-05
[Paper #]IBISML2017-91
Bootstrap Outlier Test

Hayato Watanabe(Waseda Univ.),  Hideitsu Hino(Univ. of Tsukuba/RIKEN),  Shotaro Akaho(AIST),  Noboru Murata(Waseda Univ.),  

[Date]2018-03-05
[Paper #]IBISML2017-94
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(Keio Univ.),  Yuko Oguma(Keio Univ.),  

[Date]2018-03-05
[Paper #]IBISML2017-95
Transformed Multiple Matrix Factorization: Towards Utilizing Heterogeneous Auxiliary Information

Taira Tsuchiya(Waseda Univ.),  Tomoharu Iwata(NTT),  Tetsuji Ogawa(Waseda Univ.),  

[Date]2018-03-05
[Paper #]IBISML2017-96
Metric Learning for k-Nearest Neighbor Estimation using Multiple Distance Metrics

Yokuto Seki(Waseda Univ.),  Noboru Murata(Waseda Univ.),  

[Date]2018-03-05
[Paper #]IBISML2017-92
Exponential Family of Markov Kernels and Asymptotic Exponential Family of Markov Sources

Jun'ichi Takeuchi(Kyushu Univ.),  Hiroshi Nagaoka(UEC),  

[Date]2018-03-05
[Paper #]IBISML2017-93
Bayesian Independent Component Analysis under Hierarchical Model on Latent Variables

Kai Asaba(Waseda Univ.),  Shota Saito(Waseda Univ.),  Shunsuke Horii(Waseda Univ.),  Toshiyasu Matsushima(Waseda Univ.),  

[Date]2018-03-05
[Paper #]IBISML2017-97
Learning rule-base model by Safe Pattern Pruning

Hiroki Kato(Nagoya Inst. of Tech.),  Hiroyuki Hanada(Nagoya Inst. of Tech.),  Ichiro Takeuchi(Nagoya Inst. of Tech./RIKEN/NIMS),  

[Date]2018-03-06
[Paper #]IBISML2017-98
The improving method of Singular Bayesian information criterion by analyzing learning coefficients

Sayaka Suzuki(Nihon Univ.),  Souta Shina(Nihon Univ.),  Miki Aoyagi(Nihon Univ.),  

[Date]2018-03-06
[Paper #]IBISML2017-100
Applicability of Fast Decimation Algorithm

Daisuke Motoki(Tokyo Univ. of Science),  Shohei Watabe(Tokyo Univ. of Science),  Tetsuro Nikuni(Tokyo Univ. of Science),  

[Date]2018-03-06
[Paper #]IBISML2017-103
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),  

[Date]2018-03-06
[Paper #]IBISML2017-99
Natural gradient method by the symmetry in data for complex valued neural networks

Junichi Mukuno(Toyota Technological Inst.),  Hajime Matsui(Toyota Technological Inst.),  

[Date]2018-03-06
[Paper #]IBISML2017-104
Sonar2image: GAN-based night vision for fish monitoring

Kento Shin(Univ. of Tokyo),  Kei Terayama(Univ. of Tokyo),  Katsunori Mizuno(Univ. of Tokyo),  Koji Tsuda(Univ. of Tokyo),  

[Date]2018-03-06
[Paper #]IBISML2017-102
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),  

[Date]2018-03-06
[Paper #]IBISML2017-101