Name: Machine Learning With Noisy Labels: Definitions, Theory, Techniques and Solutions
SKU: 56138637
Author: Carneiro Gustavo
ISBN: 9780443154416

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portada Machine Learning With Noisy Labels: Definitions, Theory, Techniques and Solutions

Machine Learning With Noisy Labels: Definitions, Theory, Techniques and Solutions

Type

Physical Book

Publisher

Academic Press

Author

Carneiro Gustavo

Language

English

Pages

312

Format

Paperback

ISBN13

9780443154416

Edition No.

Machine Learning With Noisy Labels: Definitions, Theory, Techniques and Solutions

Carneiro Gustavo (Author) · Academic Press · Paperback

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Synopsis "Machine Learning With Noisy Labels: Definitions, Theory, Techniques and Solutions"

Machine Learning and Noisy Labels: Definitions, Theory, Techniques and Solutions provides an ideal introduction to machine learning with noisy labels that is suitable for senior undergraduates, post graduate students, researchers and practitioners using, and researching, machine learning methods. Most of the modern machine learning models based on deep learning techniques depend on carefully curated and cleanly labeled training sets to be reliably trained and deployed. However, the expensive labeling process involved in the acquisition of such training sets limits the number and size of datasets available to build new models, slowing down progress in the field. This book defines the different types of label noise, introduces the theory behind the problem, presents the main techniques that enable the effective use of noisy-label training sets, and explains the most accurate methods.

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Machine Learning With Noisy Labels: Definitions, Theory, Techniques and Solutions - Carneiro Gustavo

Synopsis "Machine Learning With Noisy Labels: Definitions, Theory, Techniques and Solutions"

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