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Mathematical Theories of Machine Learning Theory and Applications Shi 1st ed. 2020 edition
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.
| Mídia | Livros Book |
| Lançado | 26 de junho de 2019 |
| ISBN13 | 9783030170752 |
| Editoras | Springer Nature Switzerland AG |
| Páginas | 133 |
| Dimensões | 150 × 220 × 20 mm · 407 g |
| Idioma | Alemão |