Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 1 Low-Rank Tensor Decompositions by Namgil Lee, Ivan Oseledets, Andrzej Cichocki

Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 1 Low-Rank Tensor Decompositions

Foundations and Trends(r) in Machine Learning

Namgil Lee, Ivan Oseledets, Andrzej Cichocki

196 pages missing pub info (editions)

nonfiction computer science science informative medium-paced
Powered by AI (Beta)
Loading...

Description

Modern applications in engineering and data science are increasingly based on multidimensional data of exceedingly high volume, variety, and structural richness. However, standard machine learning and data mining algorithms typically scale exponen...

Read more

Community Reviews

Loading...

Content Warnings

Loading...