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Regularization
Results: 577

#	Item
241	Semi-supervised Subspace Learning and Application to Human Functional Magnetic Brain Resonance Imaging Data Eberhard Karls Universit¨at T¨ubingen Fakult¨at f¨ur Informations- und Kognitionswissenschaften Wilhelm-Schi Add to Reading List Source URL: www.kyb.tuebingen.mpg.de Language: English - Date: 2011-01-20 08:13:31 Regularization Supervised learning Overfitting Nonlinear dimensionality reduction Functional magnetic resonance imaging Training set Linear discriminant analysis Principal component analysis Dimension reduction Statistics Machine learning Multivariate statistics
242	SPEED REGULARIZATION AND OPTIMALITY IN WORD CLASSING Geoffrey Zweig and Konstantin Makarychev Microsoft Research {gzweig,komakary}@microsoft.com ABSTRACT Word-classing has been used in language modeling for two Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2014-05-22 14:28:42 Cybernetics Neural networks Computational neuroscience Corpus linguistics Machine learning N-gram Recurrent neural network Speech recognition Perplexity Science Computational linguistics Applied mathematics
243	Regularized Regression David M. Blei Columbia University December 3, 2014 Modern regression problems are high dimensional, which means that the number of covariates p is large. In practice statisticians regularize their Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Econometrics Least squares Parametric statistics Regularization Linear regression Tikhonov regularization Elastic net regularization Mean squared error Maximum likelihood Statistics Estimation theory Regression analysis
244	Ad Click Prediction: a View from the Trenches H. Brendan McMahan, Gary Holt, D. Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, Sharat Chikkerur, Dan Liu, Mart Add to Reading List Source URL: static.googleusercontent.com Language: English - Date: 2013-08-12 13:25:40 Cross-validation Poisson regression Pattern recognition Feature selection Least squares Regression analysis Regularization Gradient boosting Book:Machine Learning - The Complete Guide Statistics Machine learning Supervised learning
245	Under review as a conference paper at ICLRN EURAL N ETWORK R EGULARIZATION W EIGHT FACTORIZATION VIA Add to Reading List Source URL: www.uoguelph.ca Language: English - Date: 2014-12-30 23:06:44 Learning Artificial intelligence Boltzmann machine Supervised learning Regularization Autoencoder Pattern recognition Overfitting Machine learning Neural networks Statistics
246	HORSES: Hexagonal Operator for Regression with Shrinkage and Equality Selection Woncheol Jang, Donghyeon Yu, Johan Lim* Seoul National University, Seoul, Korea wjang,bunguji, Nicole Lazar Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:19 Estimation theory Statistical theory Machine learning Regularization Shrinkage Feature selection Elastic net regularization Statistics Regression analysis Econometrics
247	Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization Qin Iris Wang Colin Cherry Dan Lizotte Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-04-29 22:20:23 Statistical natural language processing Science Computational linguistics Corpus linguistics Parsing Treebank Parse tree Stochastic context-free grammar Statistical parsing Linguistics Formal languages Compiler construction
248	Regularization is model styling Jon Claerbout Regularization is a method used in mathematics and statistics to deal with insufficient information. The reader must supply additional information in the form of an operator. Add to Reading List Source URL: www.reproducibility.org Language: English - Date: 2014-12-03 15:25:10 Fourier analysis Laplace operator Multivariable calculus Multivariate interpolation Mathematical analysis Calculus Harmonic functions
249	Adaptive Large Margin Training for Multilabel Classification Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2011-06-03 17:25:48 Support vector machine Multi-label classification Linear classifier Pattern recognition Linear discriminant analysis Regularization Perceptron Statistics Statistical classification Machine learning
250	Accelerated Training for Matrix-norm Regularization: A Boosting Approach Xinhua Zhang∗, Yaoliang Yu and Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton AB T6G 2E8, Canada {xinhua2,yaoli Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-11-10 01:59:53 Mathematical optimization Numerical linear algebra Convex optimization Operations research Singular value decomposition BFGS method Least squares Sparse approximation Vector space Algebra Mathematics Linear algebra

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