Neural learning methods yielding functional invariance

DOI10.1016/J.TCS.2004.03.046zbMath1068.68128OpenAlexW2071100513MaRDI QIDQ596130

Carme Torras, Vicente Ruiz de Angulo

Publication date: 10 August 2004

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10261/30547

zbMATH Keywords

RegularizationFunctional invarianceInput noise additionNeural learningWeight-decay

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• A deterministic algorithm that emulates learning with random weights
• Bayesian learning for neural networks
• Architecture-Independent Approximation of Functions

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