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Hardcover Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach Book
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ISBN: 0262047071

ISBN13: 9780262047074

Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach

(Part of the Adaptive Computation and Machine Learning Series)

by , ,
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Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.
Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. In this book Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya...

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Format: Hardcover

Condition: New

$73.70
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Related Subjects

Computers Computers & Technology Math Mathematics Science & Math

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