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Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2, Applications and Future Perspectives - Foundations and Trends in Machine Learning
Andrzej Cichocki
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2, Applications and Future Perspectives - Foundations and Trends in Machine Learning
Andrzej Cichocki
Discusses 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.
256 pages
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | May 30, 2017 |
ISBN13 | 9781680832761 |
Publishers | now publishers Inc |
Pages | 256 |
Dimensions | 371 g |
Language | English |
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