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Více informací o knize Imbalanced Learning - Foundations, Algorithms, and Applications

• Parametry knihy
• Anotace
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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Imbalanced Learning - Foundations, Algorithms, and Applications
• Autor: Haibo He, Yunqian Ma
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 216
• EAN: 9781118074626
• ISBN: 1118074629
• ID: 01401752
• Nakladatelství: John Wiley & Sons Inc
• Hmotnost: 502 g
• Rozměry: 242 × 166 × 18 mm
• Datum vydání: 09. August 2013

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