《集成学习：基于集成方法的模式分类（第二版）》

English | 2019 | ISBN: 9811201951 | 301 Pages | PDF (True) | 3.4 MB

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.

此次更新的综述提供了系统化的介绍，包含了一个有条理和统一的ensemble方法、理论、趋势、挑战及应用的资料库。超过三分之一的内容是新加入的材料，强调经典方法的描述以及最近引入的扩展和新颖方法。除了每个方法的算法描述，还包括每种方法适用的情境及其使用时可能产生的后果和权衡。同时，突出强调了实现这些算法所需的R代码。这一独特体积为研究者、学生及工业界从业者提供了ensemble学习方法的全面、简洁且便捷资源。

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