Mathematical Theories of Machine Learning Theory and Applications - Shi - Books - Springer Nature Switzerland AG - 9783030170752 - June 26, 2019
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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

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  

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