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Machine Learning with Noisy Labels

- Definitions, Theory, Techniques and Solutions
Engelsk Paperback

Machine Learning with Noisy Labels

- Definitions, Theory, Techniques and Solutions
Engelsk Paperback

782 kr
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Om denne bog
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.
Product detaljer
Sprog:
Engelsk
Sider:
312
ISBN-13:
9780443154416
Indbinding:
Paperback
Udgave:
ISBN-10:
0443154414
Kategori:
Udg. Dato:
18 mar 2024
Længde:
19mm
Bredde:
234mm
Højde:
189mm
Forlag:
Elsevier Science Publishing Co Inc
Oplagsdato:
18 mar 2024
Forfatter(e):
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