ENSEMBLE LEARNING (2ND ED): Pattern Classification Using Ensemble Methods (Second Edition) (Series in Machine Perception and Artificial Intelligence, Band 85) - Hardcover

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.