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Language: en
Pages: 350
Pages: 350
Type: BOOK - Published: 2023-05-30 - Publisher: Simon and Schuster
Ensemble machine learning combines the power of multiple machine learning approaches, working together to deliver models that are highly performant and highly a
Language: en
Pages: 238
Pages: 238
Type: BOOK - Published: 2012-06-06 - Publisher: CRC Press
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurat
Language: en
Pages: 242
Pages: 242
Type: BOOK - Published: 2010 - Publisher: World Scientific
1. Introduction to pattern classification. 1.1. Pattern classification. 1.2. Induction algorithms. 1.3. Rule induction. 1.4. Decision trees. 1.5. Bayesian metho
Language: en
Pages: 138
Pages: 138
Type: BOOK - Published: 2022-06-01 - Publisher: Springer Nature
Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade. They combine multiple models into one
Language: en
Pages: 332
Pages: 332
Type: BOOK - Published: 2012-02-17 - Publisher: Springer Science & Business Media
It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed �