Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 2 Applications and Future Perspectives

by Andrzej Cichocki

This monograph builds on Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions by discussing tensor network models for super-compressed higher-order representation of data/parameters and cost functions, together with an outline of their applications in machine learning and data analytics. A particular emphasis is on elucidating, through graphical illustrations, that by virtue of the underlying...

• Format: Paperback
• Language: English
• ISBN: 168083276X
• ISBN13: 9781680832761
• Release Date: May 2017
• Publisher: Now Publishers
• Length: 262 Pages
• Weight: 0.82 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"