Hybrid extreme rotation forest

Neural Networks

Volumn 52, Issue , 2014, Pages 33-42

  Ayerdi, Borja ^a   Graña, Manuel ^a  

^a UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

Author keywords

Ensembles of classifiers; Extreme learning machines; Rotation forest

Indexed keywords

DECISION TREES; FORESTRY; KNOWLEDGE ACQUISITION; LEARNING ALGORITHMS; METADATA; PRINCIPAL COMPONENT ANALYSIS; ROTATION; STATISTICS;

ENSEMBLE CLASSIFIERS; ENSEMBLE LEARNING ALGORITHM; ENSEMBLES OF CLASSIFIERS; EXTREME LEARNING MACHINE; FACTORIZATION APPROACH; INDIVIDUAL CLASSIFIERS; ROTATION FORESTS; ROTATION TRANSFORMATION;

CLASSIFICATION (OF INFORMATION);

ARTICLE; BOOTSTRAPPING; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; DATA ANALYSIS; DECISION TREE; EXTREME LEARNING MACHINE; HYBRID EXTREME ROTATION FOREST ALGORITHM; INTERMETHOD COMPARISON; LEARNING ALGORITHM; MACHINE LEARNING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; QUARTIMAX ROTATION;

ALGORITHMS; CLASSIFICATION; FORESTRY; ROTATION; STATISTICS;

ENSEMBLES OF CLASSIFIERS; EXTREME LEARNING MACHINES; ROTATION FOREST;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATABASES, FACTUAL; DECISION TREES; NEURAL NETWORKS (COMPUTER); PRINCIPAL COMPONENT ANALYSIS; TIME FACTORS;

EID: 84893125787     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2014.01.003     Document Type: Article

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