Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions - Foundations and Trends® in Machine Learning - Andrzej Cichocki - Bøker - now publishers Inc - 9781680832228 - 19. desember 2016
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Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions - Foundations and Trends® in Machine Learning

Andrzej Cichocki

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Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions - Foundations and Trends® in Machine Learning

Provides a systematic and example-rich guide to the basic properties and applications of tensor network methodologies, and demonstrates their promise as a tool for the analysis of extreme-scale multidimensional data. The book demonstrates the ability of tensor networks to provide linearly or even super-linearly, scalable solutions.

196 pages

Media Bøker     Pocketbok   (Bok med mykt omslag og limt rygg)
Utgitt 19. desember 2016
ISBN13 9781680832228
Utgivere now publishers Inc
Antall sider 196
Mål 156 × 234 × 11 mm   ·   283 g
Språk Engelsk  
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