Machine Learning with Noisy Labels - Couverture souple

Carneiro

Couverture souple

ISBN 10 : 0443154414 ISBN 13 : 9780443154416

Editeur : Academic Press, 2024

Synopsis

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.

A propos du livre

À propos de l?auteur

Professor Gustavo Carneiro, Artificial Intelligence and Machine Learning, University of Surrey, UK.

Détails de l'édition

• Éditeur: Academic Press
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 0443154414
• ISBN 13: 9780443154416
• Reliure: Broché
• Nombre de pages: 312
• Coordonnées du fabricant: Academic Press; https://shop.elsevier.com/; ; 230 PARK AVENUE, SUITE 800; NY; NY; 10169; Etats-Unis
• Personne responsable: Yeepin GmbH; 492000000000; sunshine12232@outlook.com; ; Alleestr.11; Kaiserslautern; Rheinland-Pfalz; 67655; Allemagne