Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SAT, RCS (Joint) |
2022-08-26 09:50 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Joint UAV Positioning and User Pairing via Reinforcement Learning Based Selection in NOMA Systems Ahmad Gendia, Osamu Muta (Kyushu Univ.), Sherief Hashima (RIKEN-AIP), Kohei Hatano (Kyushu Univ.) RCS2022-114 |
This paper proposes two reinforcement learning (RL)-based algorithms for millimeter wave (mmWave)-enabled unmanned aeria... [more] |
RCS2022-114 pp.96-101 |
IBISML |
2020-03-11 14:35 |
Kyoto |
Kyoto University (Cancelled but technical report was issued) |
IBISML2019-47 |
[more] |
IBISML2019-47 pp.95-100 |
IBISML |
2019-03-06 11:00 |
Tokyo |
RIKEN AIP |
Shapelet-based Multiple-Instance Learning Daiki Suehiro, Kohei Hatano (Kyushu Univ./RIKEN AIP), Eiji Takimoto (Kyushu Univ.), Shuji Yamamoto, Kenichi Bannai (Keio Univ./RIKEN AIP), Akiko Takeda (The Univ. of Tokyo/RIKEN AIP) IBISML2018-112 |
[more] |
IBISML2018-112 pp.51-58 |
IBISML |
2017-11-10 13:00 |
Tokyo |
Univ. of Tokyo |
IBISML2017-85 |
We consider binary classification problems using local features of objects. One of motivating applications is time-serie... [more] |
IBISML2017-85 pp.361-368 |
IBISML |
2017-03-06 13:30 |
Tokyo |
Tokyo Institute of Technology |
Tighter generalization bounds for matrix completion based on non-negative matrix factorization with norm constraints Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto (Kyushu Univ.) IBISML2016-100 |
[more] |
IBISML2016-100 pp.1-8 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 10:50 |
Okinawa |
Okinawa Institute of Science and Technology |
Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling Atsushi Shibagaki, Masayuki Karasuyama (NIT), Kohei Hatano (Kyushu Univ.), Ichiro Takeuchi (NIT) IBISML2016-4 |
[more] |
IBISML2016-4 pp.201-208 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 13:25 |
Okinawa |
Okinawa Institute of Science and Technology |
Bandit Algorithm For k-Sets Based On Projection And Decomposition Ryohei Nagaura, Kohei Hatano, Eiji Takimoto (Kyushu Univ.) IBISML2016-7 |
(To be available after the conference date) [more] |
IBISML2016-7 pp.225-229 |
IBISML |
2016-03-17 13:00 |
Tokyo |
Institute of Statistical Mathematics |
Collaborative ranking based on relative preference Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto (Kyushu Univ.) IBISML2015-94 |
We consider a collaborative filtering problem with pairwise preference information. In this setting, the algorithm recei... [more] |
IBISML2015-94 pp.1-8 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-25 09:30 |
Okinawa |
Okinawa Institute of Science and Technology |
Online Density Estimation of Bradley-Terry Models Issei Matsumoto (Toyota), Kohei Hatano, Eiji Takimoto (Kyushu U.) IBISML2015-21 |
We consider an online density estimation problem for Bradley-Terry models that determine the probability of a match resu... [more] |
IBISML2015-21 pp.173-180 |
IBISML |
2014-03-07 10:05 |
Nara |
Nara Women's University |
Online Prediction with Bradley-Terry Models and Logistic Models Issei Matsumoto, Kohei Hatano, Eiji Takimoto (Kyushu Univ) IBISML2013-74 |
We consider an online density estimation problem under the Bradley-Terry model which determines the probability of the o... [more] |
IBISML2013-74 pp.55-62 |
IBISML |
2014-03-07 10:30 |
Nara |
Nara Women's University |
Online Matrix Prediction with Log-Determinant Regularizer Kenichiro Moridomi, Kohei Hatano, Eiji Takimoto (Kyushu Univ.), Koji Tsuda (AIST) IBISML2013-75 |
We consider an online symmetric positive semi-definite matrix prediction problem with convex loss function and Frobenius... [more] |
IBISML2013-75 pp.63-70 |
IBISML |
2013-03-04 14:15 |
Aichi |
Nagoya Institute of Technology |
Passive-Aggressive Algorithm with Bias Daigo Tateishi, Kohei Hatano, Eiji Takimoto (Kyushu Univ.) IBISML2012-93 |
We consider online binary classication problems by using linear classiers. Among online learning
algorithms for linea... [more] |
IBISML2012-93 pp.1-8 |
IBISML |
2012-11-08 15:00 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Efficient AUC Maximization by Approximate Reduction of Ranking SVMs Daiki Suehiro, Kohei Hatano, Eiji Takimoto (Kyushu Univ.) IBISML2012-68 |
[more] |
IBISML2012-68 pp.243-249 |
IBISML |
2012-06-19 11:00 |
Kyoto |
Campus plaza Kyoto |
Online Prediction under Submodular Constraints Daiki Suehiro, Kohei Hatano, Shuji Kijima, Eiji Takimoto (Kyushu Univ.), Kiyohito Nagano (Tokyo Univ.) IBISML2012-3 |
[more] |
IBISML2012-3 pp.15-22 |
IBISML |
2011-11-09 15:45 |
Nara |
Nara Womens Univ. |
Approximate Reduction from AUC Maximization to 1-norm Soft Margin Optimization Daiki Suehiro, Kohei Hatano, Eiji Takimoto (Kyushu Univ.) IBISML2011-48 |
Finding linear classifiers that maximize AUC scores is important in ranking research. This is naturally
formulated as ... [more] |
IBISML2011-48 pp.39-46 |
IBISML |
2010-11-04 15:00 |
Tokyo |
IIS, Univ. of Tokyo |
[Poster Presentation]
Learning Evaluation Functions for Shogi Using SVM-based Bipartite Ranking Learning Daiki Suehiro, Kohei Hatano, Hideo Bannai, Eiji Takimoto, Masayuki Takeda (Kyushu Univ.) IBISML2010-74 |
Recently, automatic optimization of parameters by applying machine learning methods has become a mainstream approach for... [more] |
IBISML2010-74 pp.113-118 |
COMP |
2008-06-16 11:00 |
Ishikawa |
JAIST |
A Context Tree Weighting Algorithm with an Adaptive Window Tomohiro I, Kohei Hatano, Hideo Bannai, Masayuki Takeda (Kyushu Univ.) COMP2008-17 |
The Context Tree Weighting Method (CTW) is one of the most effective algorithm in the area of universal data compression... [more] |
COMP2008-17 pp.15-22 |
COMP |
2004-06-25 13:55 |
Kanagawa |
NTT CSLab Atsugi |
Learning r-of-k Functions by Boosting Kohei Hatano, Osamu Watanabe (Tokyo Inst. of Tech.) |
We investigate further improvement of boosting in the case that the target concept belongs to the class of $r$-of-$k$ th... [more] |
COMP2004-22 pp.27-32 |