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'...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Zhang, Cha (Editor ), Ma, Yunqian (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Temas:
Computational intelligence.
Data mining.
Computer science.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Computer Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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