Mathematical Theories of Machine Learning - Theory and Applications - Bin Shi - Books - Springer Nature Switzerland AG - 9783030170783 - August 14, 2020
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Bin Shi
Mathematical Theories of Machine Learning - Theory and Applications 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     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  

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