PARTIAL RETRAINING: A NEW APPROACH TO INPUT RELEVANCE DETERMINATION

DOI10.1142/S0129065799000071zbMath1060.68628OpenAlexW2086642995WikidataQ48166278 ScholiaQ48166278MaRDI QIDQ4791690

Tom Heskes, Piërre van de Laar, Stan C. A. M. Gielen

Publication date: 1999

Published in: International Journal of Neural Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0129065799000071

zbMATH Keywords

partial retraining

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

A novel information geometric approach to variable selection in MLP networks

Cites Work

• Multivariate adaptive regression splines
• Variable selection with neural networks
• A Biometrics Invited Paper. The Analysis and Selection of Variables in Linear Regression
• Estimating Missing Values Using Neural Networks

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