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Mathematical Theories of Machine Learning Theory and Applications Shi 1st ed. 2020 edition
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Mathematical Theories of Machine Learning Theory and Applications
Shi
In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data subject to stochastic Gaussian noise and/or incomplete data with uniformly missing entries.
133 pages, 75 Tables, color; 24 Illustrations, color; 1 Illustrations, black and white; XXI, 133 p.
| Media | Books Book |
| Released | June 26, 2019 |
| ISBN13 | 9783030170752 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 133 |
| Dimensions | 150 × 220 × 20 mm · 407 g |
| Language | German |
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