Imbalanced Learning: Foundations, Algorithms, and Applications (BOK)

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Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet, finance, biomedical, and defense, to name a few. The first comprehensive look at this new branch of machine learning, this volume offers a critical review of the problem of imbalanced learning, covering the state-of-the-art in techniques, principles, and real-world applications. Scientists and engineers will learn how to tackle the problem of learning from imbalanced datasets, and gain insight into current developments in the field as well as future research direction.

Produktfakta

Språk Engelsk Engelsk Innbinding Innbundet
Utgitt 2013 Forlag
Wiley
ISBN 9781118074626 Antall sider 216
Dimensjoner 16,2cm x 23,6cm x 1,9cm Vekt 494 gram
Leverandør Bertram Trading Ltd Andre medvirkende Haibo He, Yunqian Ma
Emner og form Machine learning