Information and Systems-Information-Based Induction Sciences and Machine Learning(Date:2019/03/05)

Presentation
A connection between Kida's optimal signal approximation and the signal classification by maximizing margin

Takuro Kida(Tokyo Tech. Prof.EM),  Yuichi Kida(Ohu Univ.),  

[Date]2019-03-05
[Paper #]IBISML2018-105
Expressive power of skip connection and network architecture

Jumpei Nagase(Shibaura Inst. of Tech.),  Tetsuya Ishiwata(Shibaura Inst. of Tech.),  

[Date]2019-03-05
[Paper #]IBISML2018-106
Set transformer for coordinating outfits

Takuma Nakamura(ZOZO Research),  Yuki Saito(ZOZO Research),  

[Date]2019-03-05
[Paper #]IBISML2018-108
A Study on Automatic Generation of False Data Injection Attack against Connected Car Service Based on Reinforcement Learning

Yuichiro Dan(NTT),  Keita Hasegawa(NTT),  Takafumi Harada(NTT),  Tomoaki Washio(NTT),  Yoshihito Oshima(NTT),  

[Date]2019-03-05
[Paper #]IBISML2018-109
Efficient Exploration by Variational Information Maximizing Exploration on Reinforcement Learning

Kazuki Doi(Gifu Univ.),  Keigo Okawa(Gifu Univ.),  Motoki Shiga(Gifu Univ./JST/RIKEN),  

[Date]2019-03-05
[Paper #]IBISML2018-107
Effects of Batch-normalization on Fisher Information Matrix of ResNet

Yasutaka Furusho(NAIST),  Kazushi Ikeda(NAIST),  

[Date]2019-03-06
[Paper #]IBISML2018-110
Wider neural networks with ReLU activation generalize better

Yasutaka Furusho(NAIST),  Kazushi Ikeda(NAIST),  

[Date]2019-03-06
[Paper #]IBISML2018-111
Shapelet-based Multiple-Instance Learning

Daiki Suehiro(Kyushu Univ./RIKEN AIP),  Kohei Hatano(Kyushu Univ./RIKEN AIP),  Eiji Takimoto(Kyushu Univ.),  Shuji Yamamoto(Keio Univ./RIKEN AIP),  Kenichi Bannai(Keio Univ./RIKEN AIP),  Akiko Takeda(The Univ. of Tokyo/RIKEN AIP),  

[Date]2019-03-06
[Paper #]IBISML2018-112
Magnetic Resonance Angiography Image Restoration by Super Resolution based on Deep Learning

Shizen Kitazaki(Kyushu Univ.),  Masanori Kawakita(Kyushu Univ.),  Yutaka Jitumatu(Kyushu Univ.),  Shigehide Kuhara(Kyorin Univ.),  Akio Hiwatashi(Kyushu Univ.),  Jun'ichi Takeuchi(Kyushu Univ.),  

[Date]2019-03-06
[Paper #]IBISML2018-114
Optimal Kernel for Mode Estimation via Kernel Density Estimation

Ryoya Yamasaki(Kyoto Univ.),  Toshiyuki Tanaka(Kyoto Univ.),  

[Date]2019-03-06
[Paper #]IBISML2018-113
Acceleration of Boosting Discriminators Using Region Partition Learning and Its Application to Face Detectors

Takeshi Mori(Kyushu Univ.),  Junichi Takeuchi(Kyushu Univ.),  Masanori Kawakita(Kyushu Univ.),  

[Date]2019-03-06
[Paper #]IBISML2018-115
Evaluation of LGRF using RAVE in Go program

Tatsuya Shimizu(CIT),  Yuta Hayama(CIT),  Asuka Nakamura(CIT),  Yoshitaka Maekawa(CIT),  

[Date]2019-03-06
[Paper #]IBISML2018-116