IEICE Technical Report

Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380

Infomation-Based Induction Sciences and Machine Learning

Workshop Date : 2016-07-05 - 2016-07-06 / Issue Date : 2016-06-28

IBISML2016-1
Non-linear Embedded Feature Extraction Method using Comb-shaped Neural Network
Akihito Sudo (UT), Tomoyuki Higuchi, Shin'ya Nakano, Masaya Saito (ISM), Takahiro Yabe, Yoshihide Sekimoto (UT)
pp. 127 - 131

IBISML2016-2
A Supervised Learning Approach to Causal Inference for Bivariate Time Series
Yoichi Chikahara, Akinori Fujino (NTT)
pp. 189 - 194

IBISML2016-3
A Semi-supervised Learning Method for Imbalanced Binary Classification
Akinori Fujino, Naonori Ueda (NTT)
pp. 195 - 200

IBISML2016-4
Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling
Atsushi Shibagaki, Masayuki Karasuyama (NIT), Kohei Hatano (Kyushu Univ.), Ichiro Takeuchi (NIT)
pp. 201 - 208

IBISML2016-5
Sparse cross-domain matching correlation analysis via L1 regularization
Keisuke Kojima (Osaka Univ.), Kei Hirose (Kyushu Univ.), Hidetoshi Shimodaira (Osaka Univ.)
pp. 209 - 215

IBISML2016-6
A New Probabilistic Topic Model Based on Variable Bin Width Histogram
Hideaki Kim, Tomoharu Iwata, Hiroshi Sawada (NTT)
pp. 217 - 223

IBISML2016-7
Bandit Algorithm For k-Sets Based On Projection And Decomposition
Ryohei Nagaura, Kohei Hatano, Eiji Takimoto (Kyushu Univ.)
pp. 225 - 229

IBISML2016-8
Factor Analysis of Time Series Data by Smoothing DTW Distance
Kei Amii (Kyoto Univ.)
pp. 231 - 238

Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan