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001 ocn994490392;

003 OCoLC;

005 20180511100917.0;

008 170719r20172016maua b 000 0 eng d;

020 a| 1680832220q| (part 1);

020 a| 9781680832228q| (part 1);

020 a| 168083276Xq| (part 2);

020 a| 9781680832761q| (part 2);

035 a| (Sirsi) o994490392;

035 a| (OCoLC)994490392;

049 a| EREE;

090 a| QA76.9.D35b| C53 2017;

100 1 a| Cichocki, Andrzej,e| author.=| ^A352951;

245 10 a| Tensor networks for dimensionality reduction and large-scale optimization /c| Andrzej Cichocki, Namgil Lee, Ivan Oseledets, Anh-Huy Phan, Qibin Zhao, Danilo P. Mandic, Masashi Sugiyama (part 2).;

264 1 a| Hanover, MA :b| now Publishers Inc.,c| [2017];

300 a| 2 volumes :b| color illustrations ;c| 24 cm;

336 a| textb| txt2| rdacontent;

337 a| unmediatedb| n2| rdamedia;

338 a| volumeb| nc2| rdacarrier;

500 a| Also published as Foundations and trends in machine learning, volume 9, issue 4-5, 6, 2016.;

504 a| Includes bibliographical references.;

505 1 a| Part.1. Low-rank tensor decompositions -- part 2. Applications and future perspectives.;

650 0 a| Machine learning.=| ^A145211;

650 0 a| Dimension reduction (Statistics)=| ^A1260589;

650 7 a| Dimension reduction (Statistics)2| fast0| (OCoLC)fst01749911;

650 7 a| Machine learning.2| fast0| (OCoLC)fst01004795;

700 1 a| Phan, Anh-Huy,e| author.?| UNAUTHORIZED;

700 1 a| Zhao, Qibine| author.=| ^A1351945;

700 1 a| Lee, Namgil,e| author.?| UNAUTHORIZED;

700 1 a| Oseledets, Ivan,e| author.?| UNAUTHORIZED;

700 1 a| Mandic, Danilo P.e| author.=| ^A883811;

700 1 a| Sugiyama, Masashi,d| 1974-e| author.=| ^A1352151;

830 0 a| Foundations and trends in machine learning ;v| 9: 4-5, 6.=| ^A1354905;

938 a| YBP Library Servicesb| YANKn| 14700830;

994 a| C0b| ERE;

596 a| 1;

998 a| 4814133;

999 a| QA76.9 .D35 C53 2017 PT. 1w| LCc| 1i| 30372016658996l| JGESm| JOYNERr| Ys| Yt| JGESBKu| 2/26/2018x| BOOKz| JSTACKSo| .STAFF. jjlm;

999 a| QA76.9 .D35 C53 2017 PT. 2w| LCc| 1i| 30372016658988l| JGESm| JOYNERr| Ys| Yt| JGESBKu| 2/26/2018x| BOOKz| JSTACKSo| .STAFF. jjlm;

Tensor networks for dimensionality reduction and large-scale optimization / Andrzej Cichocki, Namgil Lee, Ivan Oseledets, Anh-Huy Phan, Qibin Zhao, Danilo P. Mandic, Masashi Sugiyama (part 2).

Author/creator	Cichocki, Andrzej author.
Format	Book
Publication	Hanover, MA : now Publishers Inc., [2017]
Copyright Date	©2017
Description	2 volumes : color illustrations ; 24 cm
Subjects	Machine learning. Dimension reduction (Statistics)

Other author/creator	Phan, Anh-Huy, author.
Other author/creator	Zhao, Qibin author.
Other author/creator	Lee, Namgil, author.
Other author/creator	Oseledets, Ivan, author.
Other author/creator	Mandic, Danilo P. author.
Other author/creator	Sugiyama, Masashi, 1974- author.
Series	Foundations and trends in machine learning ; 9: 4-5, 6. ^A1354905
Incomplete content	Part.1. Low-rank tensor decompositions -- part 2. Applications and future perspectives.
General note	Also published as Foundations and trends in machine learning, volume 9, issue 4-5, 6, 2016.
Bibliography note	Includes bibliographical references.
ISBN	1680832220 (part 1)
ISBN	9781680832228 (part 1)
ISBN	168083276X (part 2)
ISBN	9781680832761 (part 2)

Availability

Library	Location	Call Number	Status	Item Actions
Joyner	General Stacks	QA76.9 .D35 C53 2017 PT. 1	✔ Available	Place Hold
Joyner	General Stacks	QA76.9 .D35 C53 2017 PT. 2	✔ Available	Place Hold

Tensor networks for dimensionality reduction and large-scale optimization / Andrzej Cichocki, Namgil Lee, Ivan Oseledets, Anh-Huy Phan, Qibin Zhao, Danilo P. Mandic, Masashi Sugiyama (part 2).

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