Tensor Networks For Dimensionality Reduction And Large-Scale Optimization

Part 1 Low-Rank Tensor Decompositions

by Andrzej Cichocki, Danilo P. Mandic, Anh-Huy Phan, Ivan Oseledets, Qibin Zhao e Namgil Lee
language: english
Publisher: NOW PUBLISHERS INC, December of 2016 ‧
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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.

Tensor Networks For Dimensionality Reduction And Large-Scale Optimization

Part 1 Low-Rank Tensor Decompositions

by Andrzej Cichocki, Danilo P. Mandic, Anh-Huy Phan, Ivan Oseledets, Qibin Zhao e Namgil Lee

Property Description
ISBN: 9781680832228
Publisher: NOW PUBLISHERS INC
Release Date: December of 2016
Language: English
Cover: Softcover
Pages: 196
Format: Book
Collection: Foundations And Trends In Machine Learning
Categories: Books in English > Science > Mathematics
Books in English > Computing > Other Applications
Books in English > Others
EAN: 9781680832228