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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CAS, SIP, VLD, MSS 2022-06-16
10:25
Aomori Hachinohe Institute of Technology (Aomori, Online)
(Primary: On-site, Secondary: Online)
Equal Opportunity in Robust Optimization for Unit Commitment Problem Considering Suppression of Renewable Energy
Ichiro Toyoshima (TOSHIBA ESS), Pierre-Louis Poirion (RIKEN AIP), Tomohide Yamazaki, Kota Yaguchi, Masayuki Kubota, Ryota Mizutani (TOSHIBA ESS), Akiko Takeda (The University of Tokyo) CAS2022-2 VLD2022-2 SIP2022-33 MSS2022-2
 [more] CAS2022-2 VLD2022-2 SIP2022-33 MSS2022-2
pp.7-12
IBISML 2020-10-20
14:40
Online Online (Online) IBISML2020-14  [more] IBISML2020-14
p.30
IBISML 2019-03-06
11:00
Tokyo RIKEN AIP (Tokyo) 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
MSS, CAS, IPSJ-AL [detail] 2018-11-12
17:15
Shizuoka (Shizuoka) [Invited Talk] Robust Optimization and its Application to Supervised Learning
Akiko Takeda (U.Tokyo) CAS2018-67 MSS2018-43
There are various uncertainties in real-world problems. When formulating them as mathematical optimization problems, we ... [more] CAS2018-67 MSS2018-43
p.55
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo (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 2015-11-26
15:00
Ibaraki Epochal Tsukuba (Ibaraki) [Poster Presentation] Robustification of Learning Algorithms using Hinge-loss
Takafumi Kanamori (Nagoya Univ.), Shuhei Fujiwara (TopGate), Akiko Takeda (Univ. of Tokyo) IBISML2015-71
We propose a unified formation of robust learning methods for classification and regression problems.
In the learnin... [more]
IBISML2015-71
pp.139-146
IBISML 2015-11-27
14:00
Ibaraki Epochal Tsukuba (Ibaraki) [Poster Presentation] An Efficient Accelerated Proximal Gradient Method for Unified Binary Classification Model
Naoki Ito, Akiko Takeda (UTokyo), Kim-Chuan Toh (NUS) IBISML2015-93
In this paper, we develop an efficient general optimization algorithm for a unified formulation of various binary classi... [more] IBISML2015-93
pp.299-303
 Results 1 - 7 of 7  /   
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