Mathematical Theories of Machine Learning Theory and Applications - Shi - Books - Springer Nature Switzerland AG - 9783030170752 - June 26, 2019
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Shi
Mathematical Theories of Machine Learning Theory and Applications 1st ed. 2020 edition

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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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