On-line learning through simple perceptron learning with a margin

DOI10.1016/J.NEUNET.2003.08.005zbMath1121.68372DBLPjournals/nn/HaraO04arXivcond-mat/0306150OpenAlexW2076837897WikidataQ51699338 ScholiaQ51699338MaRDI QIDQ1877568

Masato Okada, Kazuyuki Hara

Publication date: 19 August 2004

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/cond-mat/0306150

zbMATH Keywords

MarginStatistical mechanicsOn-line learningPerceptron learningGeneralization abilitySimple perceptron

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

Related Items (1)

Non-monotonic convergence of online learning algorithms for perceptrons with noisy teacher

Cites Work

• Optimal generalization in perceptions
• Statistical Physics of Spin Glasses and Information Processing
• The space of interactions in neural network models
• Unnamed Item

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