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Mathematical Theories of Machine Learning Theory and Applications 1st ed. 2020 edition
Shi
Mathematical Theories of Machine Learning Theory and Applications 1st ed. 2020 edition
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 | 399 g |
Language | German |