Supervised and Unsupervised Ensemble Methods and their Applications

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Okun, Oleg. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Computational Intelligence, 126
Materias:
Acceso en línea:https://doi.org/10.1007/978-3-540-78981-9
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040 |a Sistema de Bibliotecas del Tecnológico de Costa Rica 
245 1 0 |a Supervised and Unsupervised Ensemble Methods and their Applications  |c edited by Oleg Okun. 
250 |a 1st ed. 2008. 
260 # # |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2008. 
300 |a XIV, 182 p.  |b online resource. 
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490 1 |a Studies in Computational Intelligence,  |v 126 
505 0 |a Ensembles of Clustering Methods and Their Applications -- Cluster Ensemble Methods: from Single Clusterings to Combined Solutions -- Random Subspace Ensembles for Clustering Categorical Data -- Ensemble Clustering with a Fuzzy Approach -- Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis -- Ensembles of Classification Methods and Their Applications -- Intrusion Detection in Computer Systems Using Multiple Classifier Systems -- Ensembles of Nearest Neighbors for Gene Expression Based Cancer Classification -- Multivariate Time Series Classification via Stacking of Univariate Classifiers -- Gradient Boosting GARCH and Neural Networks for Time Series Prediction -- Cascading with VDM and Binary Decision Trees for Nominal Data -- Erratum. 
650 0 |a Artificial intelligence. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 1 4 |a Artificial Intelligence. 
650 2 4 |a Mathematical and Computational Engineering. 
700 1 |a Okun, Oleg.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
856 4 0 |u https://doi.org/10.1007/978-3-540-78981-9