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Tikhonov regularization
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31	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
32	egu_logo_without_circle_grey Add to Reading List Source URL: www.the-cryosphere.net Language: English - Date: 2014-12-04 08:22:54 Plasticity Elasticity Materials science Jakobshavn Isbræ Tikhonov regularization Yield Inverse problem Regularization Glacier Physics Mechanics Solid mechanics
33	Microsoft Word - doicu_2010_toc.doc Add to Reading List Source URL: atmos.caf.dlr.de Language: English - Date: 2012-05-15 05:48:34 Inverse problems Linear algebra Science Numerical analysis Regularization Tikhonov regularization Well-posed problem Least squares Tikhonov Mathematics Mathematical analysis Estimation theory
34	Bilinear estimation of pollution source profiles in receptor models Eun Sug Park Clifford H Spiegelman Ronald C. Henry Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2001-08-14 12:45:50 Econometrics Regression analysis Data analysis Principal component analysis Identifiability Tikhonov regularization Multivariate normal distribution Linear least squares Factor analysis Statistics Estimation theory Multivariate statistics
35	Common Mistakes in Building QSAR Models Damjan Krstajić Research Centre for Cheminformatics Belgrade, Serbia www.rcc.org.rs Add to Reading List Source URL: cisrg.shef.ac.uk Language: English - Date: 2014-03-31 11:07:35 Model selection Estimation theory Econometrics Cross-validation Quantitative structure–activity relationship Linear regression Feature selection Tikhonov regularization Overfitting Statistics Machine learning Regression analysis
36	Learning Sparse Gaussian Bayesian Network Structure by Variable Grouping Jie Yang† , Henry C.M. Leung† , S.M. Yiu† , Yunpeng Cai‡ , Francis Y.L. Chin† * † Department of Computer Science, The University of Ho Add to Reading List Source URL: i.cs.hku.hk Language: English - Date: 2014-12-11 20:33:21 Estimation theory Graphical models Bayesian statistics Bayesian network Linear regression Variance Feature selection Normal distribution Tikhonov regularization Statistics Econometrics Regression analysis
37	Feature Noising for Log-linear Structured Prediction Sida I. Wang∗, Mengqiu Wang∗, Stefan Wager† , Percy Liang, Christopher D. Manning Department of Computer Science, † Department of Statistics Stanford Universit Add to Reading List Source URL: cs.stanford.edu Language: English Artificial intelligence Supervised learning Regularization Support vector machine Pattern recognition Tikhonov regularization Semi-supervised learning Machine learning Statistics Learning
38	Electronic Journal of Statistics Vol–695 ISSN: DOI: EJS218 Functional principal components Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2009-09-20 22:43:32 Linear algebra Data analysis Singular value decomposition Matrix theory Splines Smoothing spline Smoothing Principal component analysis Tikhonov regularization Algebra Mathematics Statistics
39	K ERNELS , D ICTIONARY AND R EGULARIZATION Francesca Odone and Lorenzo Rosasco RegML 2014 Regularization Methods for High Dimensional Learning Add to Reading List Source URL: lcsl.mit.edu Language: English - Date: 2014-06-30 18:00:14 Mathematical analysis Quantum field theory Summability methods Machine learning Regularization Tikhonov regularization Hilbert space Linear algebra Physics Mathematics
40	R EGULARIZATION VIA S PECTRAL F ILTERING Francesca Odone and Lorenzo Rosasco RegML 2014 Regularization Methods for High Dimensional Learning Add to Reading List Source URL: lcsl.mit.edu Language: English - Date: 2014-06-30 18:30:12 Estimation theory Linear algebra Quantum field theory Regularization Tikhonov regularization Analysis Stability Well-posed problem Mathematical analysis Mathematics Inverse problems

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