Importance sampling and mean-square error in neural detector training

DOI10.1023/A:1021766820005zbMath1008.68773DBLPjournals/npl/Sanz-GonzalezAS02OpenAlexW1531115819WikidataQ58656555 ScholiaQ58656555MaRDI QIDQ1857789

José L. Sanz-González, Diego Andina, Juan Seijas

Publication date: 19 February 2003

Published in: Neural Processing Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1021766820005

zbMATH Keywords

Monte Carlo simulationsgenetic algorithmserror probabilitymean-square errorneural network trainingdetectorsadaptive importance samplingobjective functionsimportance sampling techniques

Mathematics Subject Classification ID

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

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