A comparison of state-of-the-art classification techniques with application to cytogenetics

DOI10.1007/s005210170016zbMath1157.68506OpenAlexW2079596996WikidataQ57831518 ScholiaQ57831518MaRDI QIDQ1606623

Neil D. Lawrence, Boaz Lerner

Publication date: 25 July 2002

Published in: Neural Computing and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s005210170016

zbMATH Keywords

Support vector machineSignal classificationMultilayer perceptronBayesian neural networkFluorescence in situ hybridisation (FISH)Naive Bayesian classifier

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)

Related Items (1)

Bayesian classifiers based on kernel density estimation: flexible classifiers

Uses Software

• SVMlight

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