ENSEMBLE LEARNING (2ND ED)Pattern Classification Using Ensemble Methods

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 descriptions of the classic methods, and extensions and novel approaches that have recently been introduced.Along with algorithmic descriptions 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.ENSEMBLE LEARNING (2ND ED): Pattern Classification Using Ensemble Methods 2nd Edition is written by Lior Rokach and published by World Scientific. ISBNs for ENSEMBLE LEARNING (2ND ED) are 9789811201974, 9811201978 and the print ISBNs are 9789811201950, 9811201951.