Information and Systems-Information-Based Induction Sciences and Machine Learning(Date:2017/03/06)

Presentation
Recurrent Neural Networks for task-evoked fMRI data classification

Koya Ohashi(Tokyo Tech),  Taiji Suzuki(Tokyo Tech/JST/RIKEN),  

[Date]2017-03-06
[Paper #]IBISML2016-104
Tighter generalization bounds for matrix completion based on non-negative matrix factorization with norm constraints

Ken-ichiro Moridomi(Kyushu Univ.),  Kohei Hatano(Kyushu Univ.),  Eiji Takimoto(Kyushu Univ.),  

[Date]2017-03-06
[Paper #]IBISML2016-100
Exact calculation of grid-structured Markov random field model by corner transfer matrix method

Tomoharu Yoshida(Toyohashi Univ. of Tech.),  Kazuho Watanabe(Toyohashi Univ. of Tech.),  Kyoji Umemura(Toyohashi Univ. of Tech.),  

[Date]2017-03-06
[Paper #]IBISML2016-101
Degrees of freedom in submodular regularization

Kentaro Minami(The University of Tokyo),  Fumiyasu Komaki(The University of Tokyo),  

[Date]2017-03-06
[Paper #]IBISML2016-102
New Lerning Algorythm of Neural Network using Integral Representation and Kernel Herding

Takuo Matsubara(Waseda Univ.),  Sho Sonoda(Waseda Univ.),  Noboru Murata(Waseda Univ.),  

[Date]2017-03-06
[Paper #]IBISML2016-103
CTC network with explicit representation vector of Markov property

Yuta Kawachi(NTT),  Taichi Asami(NTT),  Yoshikazu Yamaguchi(NTT),  Yushi Aono(NTT),  

[Date]2017-03-07
[Paper #]IBISML2016-111
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(NITech),  Shinsuke Kajioka(NITech),  Koji Tsuda(UTokyo),  Ichiro Takeuchi(NITech),  

[Date]2017-03-07
[Paper #]IBISML2016-105
Doubly Accelerated Stochastic Variance Reduced Gradient Method for Regularized Empirical Risk Minimization

Tomoya Murata(Tokyo Tech),  Taiji Suzuki(Tokyo Tech),  

[Date]2017-03-07
[Paper #]IBISML2016-106
Topic model for analysis of gene expression data

Koji Iwayama(Ryukoku Univ.),  Atsushi J. Nagano(Ryukoku Univ./Kyoto Univ.),  

[Date]2017-03-07
[Paper #]IBISML2016-110
A study on minimizing size of sparse model optimization problem: exploiting safe rules for keeping and removing variables

Masayuki Karasuyama(NIT/NIMS/JST),  Atsushi Shibagaki(NIT),  Ichiro Takeuchi(NIT/NIMS/RIKEN/NIMS),  

[Date]2017-03-07
[Paper #]IBISML2016-107
Classification of In-week and -day Patterns of Ambulatory Activity Using a Hierarchical Topic Model and Interpolation of Step Counts in Missing Days

Shunichi Nomura(Tokyo Tech.),  Michiko Watanabe(Keio Univ.),  Yuko Oguma(Keio Univ.),  

[Date]2017-03-07
[Paper #]IBISML2016-109
A stochastic optimization method and generalization bounds for voting classifiers by continuous density functions

Atsushi Nitanda(Tokyo Tech./NTTDATA MSI),  Taiji Suzuki(Tokyo Tech./JST/RIKEN),  

[Date]2017-03-07
[Paper #]IBISML2016-108