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Mathematical Theories of Machine Learning - Theory and Applications Bin Shi 2020 edition
Mathematical Theories of Machine Learning - Theory and Applications
Bin 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 Paperback Book (Book with soft cover and glued back) |
| Released | August 14, 2020 |
| ISBN13 | 9783030170783 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 133 |
| Dimensions | 156 × 233 × 11 mm · 246 g |
| Language | German |