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Statistical theory / Decision theory / Kullback–Leibler divergence / Thermodynamics / Loss function / Bregman divergence / Bayes estimator / Divergence / Distribution / Statistics / Geometry / Mathematical analysis


Loss Functions Robert C. Williamson Abstract Vapnik described the “three main learning problems” of pattern recognition, regression estimation and density estimation. These are defined in terms of the loss functions
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Document Date: 2013-04-06 02:21:38

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City

Canberra / Springer / New York / /

Company

Neural Information Processing Systems / John Wiley and Sons / /

Country

Jordan / Australia / /

Currency

pence / /

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Facility

The bridge / Australian National University / University of Pennsylvania / /

IndustryTerm

regularization networks / online worst case mixture / online sequence prediction / online mixture / online setting / vector algorithms / learning algorithm / learning algorithms / /

NaturalFeature

Sierra Nevada / /

Organization

Royal Statistical Society / American Statistical Association / University of Pennsylvania / Australian Government / NICTA / Australian Research Council / Australian National University / Department of Broadband / Communications and the Digital Economy / /

Person

Robert C. Williamson Abstract Vapnik / Robert C. Williamson / Reid / Vladimir Vapnik / /

Position

Statistician / /

ProvinceOrState

Pennsylvania / New York / /

PublishedMedium

The American Statistician / Journal of the Royal Statistical Society / IEEE Transactions on Information Theory / Machine Learning / Journal of Machine Learning Research / Journal of the American Statistical Association / /

Technology

learning algorithm / vector algorithms / Broadband / artificial intelligence / machine learning / /

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http /

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