Trainable fusion rules. I. Large sample size case

DOI10.1016/j.neunet.2006.01.018zbMath1178.68506OpenAlexW2032904874WikidataQ36437630 ScholiaQ36437630MaRDI QIDQ858881

Sarunas J. Raudys

Publication date: 11 January 2007

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2006.01.018

zbMATH Keywords

complexityfusiongeneralization errorneural network ensemblesclassifier combinationlearning setmultiple classifiers systems

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Uses Software

• C4.5

Cites Work

• Techniques for discriminant analysis with discrete variables
• Trainable fusion rules. II. Small sample-size effects
• Speaker recognition-general classifier approaches and data fusion methods
• Discriminant Analysis
• Combining Pattern Classifiers
• Dynamic classifier selection based on multiple classifier behaviour
• Decision templates for multiple classifier fusion: An experimental comparison
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