Trainable fusion rules. II. Small sample-size effects

DOI10.1016/j.neunet.2006.01.019zbMath1178.68507OpenAlexW2042052061WikidataQ47304622 ScholiaQ47304622MaRDI QIDQ858882

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.2006.01.019

zbMATH Keywords

complexityfusiongeneralization errorneural network ensemblesclassifier combinationlearning setmultiple classifiers systems

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (2)

Utilization of virtual samples to facilitate cancer identification for DNA microarray data in the early stages of an investigation ⋮ Trainable fusion rules. I. Large sample size case

Cites Work

• Results in statistical discriminant analysis: A review of the former Soviet Union literature.
• Combining Pattern Classifiers
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