Supervised and Unsupervised Ensemble Methods and their Applications - Studies in Computational Intelligence
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Published By Springer Berlin Heidelberg

9783540789802, 9783540789819

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Erratum

Supervised and Unsupervised Ensemble Methods and their Applications - Studies in Computational Intelligence ◽

10.1007/978-3-540-78981-9_10 ◽

2008 ◽

pp. 181-181

Author(s):

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Ensembles of Nearest Neighbors for Gene Expression Based Cancer Classification

Supervised and Unsupervised Ensemble Methods and their Applications - Studies in Computational Intelligence ◽

10.1007/978-3-540-78981-9_6 ◽

2008 ◽

pp. 115-134 ◽

Cited By ~ 1

Author(s):

Oleg Okun ◽

Helen Priisalu

Keyword(s):

Gene Expression ◽

Nearest Neighbors ◽

Cancer Classification

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Random Subspace Ensembles for Clustering Categorical Data

Supervised and Unsupervised Ensemble Methods and their Applications - Studies in Computational Intelligence ◽

10.1007/978-3-540-78981-9_2 ◽

2008 ◽

pp. 31-48 ◽

Cited By ~ 8

Author(s):

Muna Al-Razgan ◽

Carlotta Domeniconi ◽

Daniel Barbará

Keyword(s):

Categorical Data ◽

Random Subspace

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Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis

Supervised and Unsupervised Ensemble Methods and their Applications - Studies in Computational Intelligence ◽

10.1007/978-3-540-78981-9_4 ◽

2008 ◽

pp. 71-88 ◽

Cited By ~ 5

Author(s):

Germain Forestier ◽

Cédric Wemmert ◽

Pierre Gançarski

Keyword(s):

Image Analysis ◽

Object Oriented

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Ensemble Clustering with a Fuzzy Approach

Supervised and Unsupervised Ensemble Methods and their Applications - Studies in Computational Intelligence ◽

10.1007/978-3-540-78981-9_3 ◽

2008 ◽

pp. 49-69 ◽

Cited By ~ 10

Author(s):

Roberto Avogadri ◽

Giorgio Valentini

Keyword(s):

Fuzzy Approach ◽

Ensemble Clustering

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Intrusion Detection in Computer Systems Using Multiple Classifier Systems

Supervised and Unsupervised Ensemble Methods and their Applications - Studies in Computational Intelligence ◽

10.1007/978-3-540-78981-9_5 ◽

2008 ◽

pp. 91-113 ◽

Cited By ~ 6

Author(s):

Igino Corona ◽

Giorgio Giacinto ◽

Fabio Roli

Keyword(s):

Intrusion Detection ◽

Computer Systems ◽

Multiple Classifier Systems ◽

Classifier Systems ◽

Multiple Classifier

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Cluster Ensemble Methods: from Single Clusterings to Combined Solutions

Supervised and Unsupervised Ensemble Methods and their Applications - Studies in Computational Intelligence ◽

10.1007/978-3-540-78981-9_1 ◽

2008 ◽

pp. 3-30 ◽

Cited By ~ 25

Author(s):

Ana Fred ◽

André Lourenço

Keyword(s):

Ensemble Methods ◽

Cluster Ensemble

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Cascading with VDM and Binary Decision Trees for Nominal Data

Supervised and Unsupervised Ensemble Methods and their Applications - Studies in Computational Intelligence ◽

10.1007/978-3-540-78981-9_9 ◽

2008 ◽

pp. 165-178

Author(s):

Jesús Maudes ◽

Juan J. Rodríguez ◽

César García-Osorio

Keyword(s):

Decision Trees ◽

Nominal Data ◽

Binary Decision ◽

Binary Decision Trees

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Multivariate Time Series Classification via Stacking of Univariate Classifiers

Supervised and Unsupervised Ensemble Methods and their Applications - Studies in Computational Intelligence ◽

10.1007/978-3-540-78981-9_7 ◽

2008 ◽

pp. 135-151 ◽

Cited By ~ 2

Author(s):

Carlos Alonso ◽

Óscar Prieto ◽

Juan José Rodríguez ◽

Aníbal Bregón

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Time Series Classification

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Gradient Boosting GARCH and Neural Networks for Time Series Prediction

Supervised and Unsupervised Ensemble Methods and their Applications - Studies in Computational Intelligence ◽

10.1007/978-3-540-78981-9_8 ◽

2008 ◽

pp. 153-164 ◽

Cited By ~ 1

Author(s):

José M. Matías ◽

Manuel Febrero ◽

Wenceslao González-Manteiga ◽

Juan C. Reboredo

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Prediction ◽

Gradient Boosting

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Supervised and Unsupervised Ensemble Methods and their Applications - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Erratum

Ensembles of Nearest Neighbors for Gene Expression Based Cancer Classification

Random Subspace Ensembles for Clustering Categorical Data

Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis

Ensemble Clustering with a Fuzzy Approach

Intrusion Detection in Computer Systems Using Multiple Classifier Systems

Cluster Ensemble Methods: from Single Clusterings to Combined Solutions

Cascading with VDM and Binary Decision Trees for Nominal Data

Multivariate Time Series Classification via Stacking of Univariate Classifiers

Gradient Boosting GARCH and Neural Networks for Time Series Prediction

Supervised and Unsupervised Ensemble Methods and their Applications - Studies in Computational Intelligence
Latest Publications