Imbalanced Learning
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Language: en
Pages: 385
Pages: 385
Type: BOOK - Published: 2018-10-22 - Publisher: Springer
This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features
Language: en
Pages: 222
Pages: 222
Type: BOOK - Published: 2013-06-07 - Publisher: John Wiley & Sons
The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learni
Language: en
Pages: 463
Pages: 463
Type: BOOK - Published: 2020-01-14 - Publisher: Machine Learning Mastery
Imbalanced classification are those classification tasks where the distribution of examples across the classes is not equal. Cut through the equations, Greek le
Language: en
Pages: 344
Pages: 344
Type: BOOK - Published: 2023-11-30 - Publisher: Packt Publishing Ltd
Take your machine learning expertise to the next level with this essential guide, utilizing libraries like imbalanced-learn, PyTorch, scikit-learn, pandas, and
Language: en
Pages: 1378
Pages: 1378
Type: BOOK - Published: 2006-05-28 - Publisher: Springer Science & Business Media
Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and
