Description
by
Lior Rokach (Author)
This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting s of the classic methods, and extensions and novel approaches that have recently been introduced.
Along with algorithmic s of each method, the settings in which each method is applicable and the consequences and tradeoffs incurred by using the method is succinctly featured. R code for implementation of the algorithm is also emphasized.
The unique volume provides researchers, students and practitioners in industry with a comprehensive, concise and convenient resource on ensemble learning methods.
Number of Pages: 300Dimensions: 0.69 x 9 x 6 INPublication Date: February 27, 2019
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