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Mathematical Theories Of Machine Learning - Theory And Applications
Mathematical Theories Of Machine Learning - Theory And Applications
language: english
Publisher:
Springer Nature Switzerland AG, August of 2020 ‧
see product details
SYNOPSIS
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.
DETAILS
| Property | Description |
|---|---|
| ISBN: | 9783030170783 |
| Publisher: | Springer Nature Switzerland AG |
| Release Date: | August of 2020 |
| Language: | English |
| Dimensions: | 155 x 235 x 20 mm |
| Cover: | Softcover |
| Pages: | 133 |
| Format: | Book |
| Categories: |
Books in English
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Management
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Management and Organization
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| EAN: | 9783030170783 |