The weight decay backpropagation for generalizations with missing values

DOI10.1023/A:1018945915940zbMath0897.62133OpenAlexW120946479MaRDI QIDQ1385340

D. Massart

Publication date: 30 September 1998

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1018945915940

zbMATH Keywords

neural networksmissing valuesweight decaybackpropagation training algorithmgeneralization power

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Learning and adaptive systems in artificial intelligence (68T05) Applications of statistics (62P99)

Related Items (3)

The weight-decay technique in learning from data: an optimization point of view ⋮ Learn\(^{++}\).MF: A random subspace approach for the missing feature problem ⋮ Boundedness and convergence analysis of weight elimination for cyclic training of neural networks

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