Constrained Stochastic Gradient Descent for Large-scale Least Squares Problem Yang Mu University of Massachusetts Boston 100 Morrissey Boulevard - Least mean squares filter - Document - PDFSEARCH.IO - Document Search Engine

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	Constrained Stochastic Gradient Descent for Large-scale Least Squares Problem Yang Mu University of Massachusetts Boston 100 Morrissey Boulevard Add to Reading List Document Date: 2013-06-25 22:09:13 Open Document File Size: 233,32 KB Share Result on Facebook City Boston / New York / Chicago / / Company John Wiley and Sons Ltd / SIAM Journal / Neural Information Processing Systems / John Wiley and Sons Inc / / Country United States / Australia / / Currency pence / USD / / / Facility Wei Ding University of Massachusetts Boston / Large-scale Least Squares Problem Yang Mu University of Massachusetts Boston / Dacheng Tao University of Technology Sydney / Australia University of Technology Sydney / / IndustryTerm recursive algorithms / Large scale online learning / Sparse online learning / regret algorithms / online gradient descent / stochastic approximation algorithms / constrained based stochastic gradient descent solution / online learning / stochastic gradient descent algorithms / online optimization / data mining / online algorithms / search space / stochastic search / stochastic gradient algorithms / suﬃciently good solution / / Organization North Atlantic Treaty Organization / Large-scale Least Squares Problem Yang Mu University of Massachusetts Boston / American Mathematical Society / MIT / Australia University of Technology Sydney / Dacheng Tao University of Technology Sydney / Wei Ding University of Massachusetts Boston / / Person Adaline misclassiﬁed / / / Position Parameter learning General / Bishop / rt / / ProvinceOrState Illinois / / PublishedMedium Machine Learning / IEEE Transactions on Information Theory / Journal of Machine Learning Research / The Journal of Machine Learning Research / / Technology stochastic gradient algorithms / 2.1 CSGD algorithm / stochastic gradient descent algorithms / data mining / stochastic approximation algorithms / machine learning / Logarithmic regret algorithms / / SocialTag Regression analysis Stochastic optimization Operations research Digital signal processing Filter theory Stochastic gradient descent ADALINE Mathematical optimization Least mean squares filter Numerical analysis