Trustworthy Machine Learning
From Data to Models
(Autor) Bo Han
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Paperback
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This monograph provides a systematic overview of the research problems under trustworthy machine learning, covering the perspectives from data to model. Starting with fundamental data-centric learning, this work reviews learning with noisy data, long-tailed distribution, out-of-distribution data, and adversarial examples to achieve robustness.
Information
Editorial:
now publishers Inc
Formato:
Paperback
Número de páginas:
None
Idioma:
en
ISBN:
9781638285489
Año de publicación:
2025
Fecha publicación:
29 de Abril de 2025