Machine Learning with Noisy Labels

Name: Machine Learning with Noisy Labels
Brand: Elsevier Science Publishing Co Inc
SKU: 9780443154416
Price: 106.06 EUR
Availability: InStock

Definitions, Theory, Techniques and Solutions

Autor: Gustavo Carneiro

Jazyk:

Väzba: Brožovaná

Vydavateľ: Elsevier Science Publishing Co Inc

Dostupnosť: U vydavateľa na objednávku

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106.06 €

Most of the modern machine learning models, based on deep learning techniques, depend on carefully c...

Informácie o knihe

Autor

Gustavo Carneiro

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2024

Stránok

200

EAN

9780443154416

Enbook ID

43445365

Vydavateľ

Elsevier Science Publishing Co Inc

Hmotnosť

650

Rozmery

156 x 234

Kompletný popis

Most of the modern machine learning models, based on deep learning techniques, depend on carefully curated and cleanly labelled training sets to be reliably trained and deployed. However, the expensive labelling 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. Alternatively, many poorly curated training sets containing noisy labels are readily available to be used to build new models. However, the successful exploration of such noisy-label training sets depends on the development of algorithms and models that are robust to these noisy labels. Machine learning and Noisy Labels: Definitions, Theory, Techniques and Solutions defines 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 developed in the field. This book is an ideal introduction to machine learning with noisy labels suitable for senior undergraduates, post graduate students, researchers and practitioners using, and researching into, machine learning methods. Shows how to design and reproduce regression, classification and segmentation models using large-scale noisy-label training sets Gives an understanding of the theory of, and motivation for, noisy-label learning Shows how to classify noisy-label learning methods into a set of core techniques

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Machine Learning with Noisy Labels

Definitions, Theory, Techniques and Solutions

Informácie o knihe

Kompletný popis

Mohlo by vás zaujímať

Zákazníci, ktorí si kúpili túto knihu, kúpili tiež