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Ensemble Methods : Foundations and Algorithms. Second Edition
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Ensemble methods that train multiple learners and then combine them to use, with Boosting and Bagging as representatives, are well-known machine learning approaches. It has become common sense that an ensemble is usually significantly more accurate than a single learner, and ensemble methods have already achieved great success in various real-world tasks.
Zhou, Zhi-Hua, 1973- - Personal Name
Second Edition
519.535 Zho e
9781032960609
519.535
Chapman & Hall/CRC machine learning & pattern recognition
Text
English
Chapman and Hall/CRC
2025
Boca Raton, FL
xv, 347 p. ; 24 cm.
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