Stochastic complexities of reduced rank regression in Bayesian estimation

DOI10.1016/j.neunet.2005.03.014zbMath1077.68749DBLPjournals/nn/AoyagiW05OpenAlexW2106568142WikidataQ51970099 ScholiaQ51970099MaRDI QIDQ2568011

Miki Aoyagi, Sumio Watanabe

Publication date: 7 October 2005

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2005.03.014

zbMATH Keywords

resolution of singularitieszeta functiongeneralization errorstochastic complexityKullback informationBayesian estimatereduced rank regression modelsnon-regular learning machines

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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Cites Work

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• The analytic continuation of generalized functions with respect to a parameter
• Resolution of singularities of an algebraic variety over a field of characteristic zero. I
• Algebraic Analysis for Nonidentifiable Learning Machines
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