SOME RESULTS IN STATISTICAL LEARNING THEORY WITH RELEVANCE TO NONLINEAR SYSTEM IDENTIFICATION Robert C. Williamson Department of Engineering, Australian National University, Canberra, - Glivenko–Cantelli theorem - Document - PDFSEARCH.IO

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	SOME RESULTS IN STATISTICAL LEARNING THEORY WITH RELEVANCE TO NONLINEAR SYSTEM IDENTIFICATION Robert C. Williamson Department of Engineering, Australian National University, Canberra, Add to Reading List Document Date: 2005-03-27 00:08:49 Open Document File Size: 99,91 KB Share Result on Facebook City Totowa / Springer / London / Boston / / Company Single Hidden Layer Neural Networks / IEEE Press / Hp / / Facility The Norwegian Institute of Technology / Australian National University / / IndustryTerm woven web / neural network / linear systems / dynamical systems / learning algorithms / learning applications / / Organization Australian National University / Canberra / RESULTS IN STATISTICAL LEARNING THEORY WITH RELEVANCE TO NONLINEAR SYSTEM IDENTIFICATION Robert C. Williamson Department of Engineering / International Federation of Automatic Control / World Congress / Norwegian Institute of Technology / Australian Research Council / / Person Michel Talagrand / Herman Hesse / Vidyasagar / Williamson / / Position specific parametric model / engineer / / ProvinceOrState New Jersey / New York / / PublishedMedium Journal of the ACM / Physica A / Machine Learning / IEEE Transactions on Information Theory / / Technology Machine Learning / neural network / / URL http / SocialTag Dimension Statistical classification VC dimension Glivenko–Cantelli theorem Function Regression analysis Linear regression Statistics Econometrics Computational learning theory

SOME RESULTS IN STATISTICAL LEARNING THEORY WITH RELEVANCE TO NONLINEAR SYSTEM IDENTIFICATION Robert C. Williamson Department of Engineering, Australian National University, Canberra,Add to Reading List