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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 #
IBISML 2021-03-02
10:50		 Online Online Kernel tensor decomposition based unsupervised feature extraction -- Applications to bioinformatics --
Y-h. Taguchi (Chuo Univ.) IBISML2020-36		 A lot of research has been done on the so-called textit{large p small n} problem, where the number of samples is small c... [more] IBISML2020-36
pp.16-23
IBISML 2020-01-09
16:45		 Tokyo ISM Application of tensor decomposition based unsupervised feature extraction to single cell RNA-seq analysis
Y-h. Taguchi (Chuo Univ.) IBISML2019-26		 Cannonical correlation analysis (CCA) is known to integrate two matrices, each of which have elements, $x_{ij} in mathbb... [more] IBISML2019-26
pp.55-59
IBISML 2018-11-05
15:10		 Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Tensor decomposition based unsupervised feature extraction applied to bioinformatics
Y-h. Taguchi (Chuo Univ.) IBISML2018-90		 Although supervised and reinforcement learning including deap learning performs excellent achievements, it is not applic... [more] IBISML2018-90
pp.345-352
IBISML 2016-11-16
15:00		 Kyoto Kyoto Univ. [Poster Presentation] Principal Component Analysis based unsupervised Feature Extraction applied to Bioinformatics
Y-h. Taguchi (Chuo Univ.) IBISML2016-47		 Recently, numerous researches were performed for the machine/statisitical learning. Among those, deep learning is especi... [more] IBISML2016-47
pp.17-24
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]		 2015-06-23
09:30		 Okinawa Okinawa Institute of Science and Technology Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease
Y-h. Taguchi, Mitsuo Iwadate, Hideaki Umeyama (Chuo Univ) IBISML2015-1		 Background Feature extraction (FE) is difficult, particularly if there are more features than samples, as small
sample ... [more]		 IBISML2015-1
pp.1-8
IBISML 2014-11-17
17:00		 Aichi Nagoya Univ. [Poster Presentation] Heuristic principal component analysis based unsupervised feature extraction and its application to bioinformatics
Y-h. Taguchi (Chuo Univ) IBISML2014-46		 : Feature extraction (FE) is a difficult task when the number of features is much
larger than the number of samples, a... [more]		 IBISML2014-46
pp.87-94
 Results 1 - 6 of 6  /   
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