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01952nam a22003255i 4500 |
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978-3-540-78981-9 |
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20191021232002.0 |
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cr nn 008mamaa |
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100301s2008 gw | s |||| 0|eng d |
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|a 9783540789819
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|a 10.1007/978-3-540-78981-9
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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|a Supervised and Unsupervised Ensemble Methods and their Applications
|c edited by Oleg Okun.
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|a 1st ed. 2008.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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|a XIV, 182 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Studies in Computational Intelligence,
|v 126
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|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.
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|a Artificial intelligence.
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|a Applied mathematics.
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|a Engineering mathematics.
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|a Artificial Intelligence.
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|a Mathematical and Computational Engineering.
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|a Okun, Oleg.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|u https://doi.org/10.1007/978-3-540-78981-9
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