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Mathematics / Radial basis function / Sigmoid function / Computational learning theory / VC dimension / Neural networks / Statistics / Applied mathematics


The VC-Dimension and Pseudodimension of Two-Layer Neural Networks with Discrete Inputs Peter L. Bartlett Robert C. Williamson Department of Systems Engineering Research School of Information Sciences and Engineering
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Document Date: 2005-03-22 04:19:25

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File Size: 134,35 KB

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Company

Australian Telecommunications / Two-Layer Neural Networks / Neural Networks / Electronics / /

Country

Australia / /

Facility

Graz University of Technology / Engineering Australian National University / /

IndustryTerm

threelayer networks / layer sigmoid network / sigmoidal networks / backpropagation algorithm / sigmoid networks / radial basis function networks / learning algorithm / threshold networks / learning applications / /

Organization

Australian National University Canberra / World Congress / Electronics Research Board / Australian Research Council / Graz University of Technology / Discrete Inputs Peter L. Bartlett Robert C. Williamson Department of Systems Engineering Research School of Information Sciences / Association for Computing Machinery / /

Person

Peter L. Bartlett Robert / Robert C. Williamson / /

Product

Pentax K-x Digital Camera / /

PublishedMedium

Communications of the ACM / the Theory of Computing / /

Technology

backpropagation algorithm / /

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