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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
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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
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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2017. gada 30. maijs |
| ISBN13 | 9781680832761 |
| Izdevēji | now publishers Inc |
| Lapas | 256 |
| Izmēri | 150 × 220 × 10 mm · 371 g |
| Valoda | Angļu |
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