Name: Machine Learning With Noisy Labels: Definitions, Theory, Techniques and Solutions (en Inglés)
SKU: 56138637
Price: 129.17 USD
Availability: InStock
Author: Carneiro Gustavo
ISBN: 9780443154416

portada Machine Learning With Noisy Labels: Definitions, Theory, Techniques and Solutions (en Inglés)

Machine Learning With Noisy Labels: Definitions, Theory, Techniques and Solutions (en Inglés)

Formato

Libro Físico

Editorial

Academic Press

Autor

Carneiro Gustavo

Idioma

Inglés

N° páginas

312

Encuadernación

Tapa Blanda

ISBN13

9780443154416

N° edición

Machine Learning With Noisy Labels: Definitions, Theory, Techniques and Solutions (en Inglés)

Carneiro Gustavo (Autor) · Academic Press · Tapa Blanda

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Reseña del libro "Machine Learning With Noisy Labels: Definitions, Theory, Techniques and Solutions (en Inglés)"

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.