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Tikhonov regularization
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81	1985 Society for Industrial and Applied Mathematics 012 SIAM J. Scl. STAT. COMPUT. Vol. 6, No. 3, July 1985 Add to Reading List Source URL: math.nist.gov Language: English - Date: 2014-05-30 15:23:38 Regression analysis Confidence region Statistical inference Ellipsoid Multivariate normal distribution Variance Tikhonov regularization Covariance Normal distribution Statistics Estimation theory Linear algebra
82	Residual periodograms for regularization Add to Reading List Source URL: math.nist.gov Language: English - Date: 2009-09-28 14:05:32 Regression analysis Estimation theory Linear algebra Least squares Parametric statistics Tikhonov regularization Variance Singular value decomposition Normal distribution Statistics Algebra Mathematics
83	Adaptive change of basis in entropy-based moment closures for linear kinetic equations Graham W. Alldredge a,1,3,∗ Add to Reading List Source URL: www.ece.umd.edu Language: English - Date: 2013-08-27 17:45:06 Numerical integration Linear algebra Estimation theory Adaptive quadrature Mathematical optimization Gaussian quadrature BFGS method Hessian matrix Tikhonov regularization Mathematical analysis Mathematics Calculus
84	Multi-Task Learning of Gaussian Graphical Models Jean Honorio Dimitris Samaras Stony Brook University, Stony Brook, NY 11794, USA Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:44 Multivariate normal distribution Tikhonov regularization Support vector machine Control theory Kalman filter Statistics Estimation theory Normal distribution
85	A Least Squares Formulation for Canonical Correlation Analysis Liang Sun [removed] Shuiwang Ji [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-10 17:33:10 Regression analysis Numerical linear algebra Mathematical optimization Least squares Singular value decomposition Tikhonov regularization Degrees of freedom Matrix Rank Algebra Mathematics Linear algebra
86	A majorization-minimization algorithm for (multiple) hyperparameter learning Chuan-Sheng Foo Institute for Infocomm Research, 1 Fusionopolis Way, Singapore[removed], Singapore Chuong B. Do Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:30 Regression analysis Statistical classification Hyperparameter Sensitivity analysis Supervised learning Tikhonov regularization Least squares Support vector machine Regularization Statistics Bayesian statistics Machine learning
87	Implementing Regularization Implicitly Via Approximate Eigenvector Computation Michael W. Mahoney [removed] Department of Mathematics, Stanford University, Stanford, CA 94305 Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:32 Eigenvalues and eigenvectors Tikhonov regularization Regularization Heat equation Vector space Graph partition Support vector machine Normal distribution Hilbert space Algebra Mathematics Linear algebra
88	Electronic Journal of Statistics Vol[removed]–695 ISSN: [removed]DOI: [removed]EJS218 Functional principal components Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2008-07-23 22:08:48 Linear algebra Data analysis Singular value decomposition Matrix theory Splines Smoothing spline Smoothing Principal component analysis Tikhonov regularization Algebra Mathematics Statistics
89	A Dantzig Selector Approach to Temporal Difference Learning Matthieu Geist Sup´elec, IMS Research Group, Metz, France [removed] Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:38 Statistics Mathematical analysis Regularization Tikhonov regularization Learning Supervised learning Mathematical optimization Least squares Reinforcement learning Machine learning Mathematics Linear algebra
90	1 Covariance selection and estimation via penalised normal likelihood By JIANHUA Z. HUANG Department of Statistics, Texas A & M University, Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2005-10-28 19:38:35 Data analysis Algebra of random variables Probability theory Multivariate normal distribution Estimation of covariance matrices Normal distribution Tikhonov regularization Covariance Least squares Statistics Estimation theory Covariance and correlation

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