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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
16:25
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Fast Identification of Possible Model Parameter Update for Low-Rank Update of Training Data
Hiroyuki Hanada, Noriaki Hashimoto (RIKEN), Kouichi Taji, Ichiro Takeuchi (Nagoya Univ.) PRMU2022-123 IBISML2022-130
Machine learning methods often require re-training the training dataset with low-rank modifications (small number of ins... [more] PRMU2022-123 IBISML2022-130
pp.347-354
IBISML 2018-03-06
10:00
Fukuoka Nishijin Plaza, Kyushu University Learning rule-base model by Safe Pattern Pruning
Hiroki Kato, Hiroyuki Hanada (Nagoya Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech./RIKEN/NIMS) IBISML2017-98
We consider learning the prediction model called ''rule-base model''. Rule-base model is the model which uses ''rules'' ... [more] IBISML2017-98
pp.55-62
IBISML 2017-03-07
10:30
Tokyo Tokyo Institute of Technology Doubly Accelerated Stochastic Variance Reduced Gradient Method for Regularized Empirical Risk Minimization
Tomoya Murata, Taiji Suzuki (Tokyo Tech) IBISML2016-106
We develop a new stochastic gradient method for solving convex regularized empirical risk minimization problem in mini-b... [more] IBISML2016-106
pp.49-56
IBISML 2016-11-17
14:00
Kyoto Kyoto Univ. Empirical risk minimization for interval data and its applications to privacy preservations
Hiroyuki Hanada, Toshiyuki Takada, Atsushi Shibagaki (NITech), Jun Sakuma (Univ. of Tsukuba), Ichiro Takeuchi (NITech) IBISML2016-89
In this research, for machine learning tasks, we consider that the values in the training data are given as intervals an... [more] IBISML2016-89
pp.305-312
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-06
10:45
Toyama   A proposal on quick sensitivity analysis of empirical risk minimization problems
Hiroyuki Hanada, Atsushi Shibagaki (NITech), Jun Sakuma (Univ. of Tsukuba), Ichiro Takeuchi (NITech) PRMU2016-80 IBISML2016-35
For a training data set consisting of $n$ vectors of $d$ dimensions, we consider obtaining a training result from it by ... [more] PRMU2016-80 IBISML2016-35
pp.203-210
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-01
17:30
Ibaraki   Neutralized Empirical Risk Minimization with Covariance-based Neutrality Risk
Kazuto Fukuchi, Jun Sakuma (Univ. of Tsukuba) PRMU2014-48 IBISML2014-29
In order to apply machine learning algorithms to real world problems, it is necessary to ensure that discrimination, unf... [more] PRMU2014-48 IBISML2014-29
pp.93-100
 Results 1 - 6 of 6  /   
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