Ensemble Machine Learning Methods and Applications /

It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed "ensemble learning" by researchers in computational intelligence and machine learning, it is known to improve a decision system'...

Full description

Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Zhang, Cha (Editor), Ma, Yunqian (Editor)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Subjects:
Computational intelligence.
Data mining.
Computer science.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Computer Science.
Online Access:Texto Completo
Table of Contents:
  • Introduction of Ensemble Learning
  • Boosting Algorithms: Theory, Methods and Applications
  • On Boosting Nonparametric Learners
  • Super Learning
  • Random Forest
  • Ensemble Learning by Negative Correlation Learning
  • Ensemble Nystrom Method
  • Object Detection
  • Ensemble Learning for Activity Recognition
  • Ensemble Learning in Medical Applications
  • Random Forest for Bioinformatics.

Similar Items