Recent Advances in Ensembles for Feature Selection is popular PDF and ePub book, written by Verónica Bolón-Canedo in 2018-04-30, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Recent Advances in Ensembles for Feature Selection can be Read Online from any device for your convenience.

Recent Advances in Ensembles for Feature Selection Book PDF Summary

This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance. With the advent of Big Data, feature selection (FS) has become more necessary than ever to achieve dimensionality reduction. With so many methods available, it is difficult to choose the most appropriate one for a given setting, thus making the ensemble paradigm an interesting alternative. The authors first focus on the foundations of ensemble learning and classical approaches, before diving into the specific aspects of ensembles for FS, such as combining partial results, measuring diversity and evaluating ensemble performance. Lastly, the book shows examples of successful applications of ensembles for FS and introduces the new challenges that researchers now face. As such, the book offers a valuable guide for all practitioners, researchers and graduate students in the areas of machine learning and data mining.

Detail Book of Recent Advances in Ensembles for Feature Selection PDF

Recent Advances in Ensembles for Feature Selection
  • Author : Verónica Bolón-Canedo
  • Release : 30 April 2018
  • Publisher : Springer
  • ISBN : 9783319900803
  • Genre : Technology & Engineering
  • Total Page : 205 pages
  • Language : English
  • PDF File Size : 18,7 Mb

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