Scaling, machine learning, and genetic neural nets

DOI10.1016/0196-8858(89)90008-0zbMath0681.68104OpenAlexW1977770014WikidataQ114953616 ScholiaQ114953616MaRDI QIDQ1823720

David H. Sharp, K. Bradley Alpert, Eric Mjolsness

Publication date: 1989

Published in: Advances in Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0196-8858(89)90008-0

zbMATH Keywords

simulated annealingmachine learninggenetic neural nets

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Multiscale modeling of developmental processes

Cites Work

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• Optimization by Simulated Annealing
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• Quantifying inductive bias: AI learning algorithms and Valiant's learning framework
• Queries and concept learning
• Equation of State Calculations by Fast Computing Machines
• Neural networks and physical systems with emergent collective computational abilities.

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