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Regularization
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#	Item
451	L1 and L2 Penalized Regression Models Jelle Goeman Rosa Meijer Nimisha Chaturvedi Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:00:21 Statistical models Categorical data Actuarial science Linear regression Proportional hazards models Poisson regression Elastic net regularization Generalized linear model Logistic regression Statistics Regression analysis Econometrics
452	Learning Accurate Kinematic Control of Cable-Driven Surgical Robots Using Data Cleaning and Gaussian Process Regression Jeffrey Mahler1 , Sanjay Krishnan1 , Michael Laskey1 , Siddarth Sen1 , Adithyavairavan Murali1 , Ben Add to Reading List Source URL: ieor.berkeley.edu Language: English - Date: 2014-04-26 02:12:36 Data analysis Machine learning Robot control Linear regression Kinematics Errors and residuals in statistics Regularization Robotics Robot Statistics Regression analysis Econometrics
453	Learning Compressible Models Yi Zhang∗ Jeff Schneider† Abstract Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-05-20 16:34:36 Compressed sensing Linear regression Elastic net regularization Least squares Supervised learning Logistic regression Machine learning Lasso JPEG Statistics Regression analysis Regularization
454	Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]CBCL-296 January 24, 2011 Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2011-05-07 15:23:18 Machine learning Abstract algebra Statistical classification Estimation theory Regularization Support vector machine Supervised learning Stability Tikhonov regularization Algebra Mathematics Linear algebra
455	Parameter Selection for Constrained Solutions to Ill-Posed Problems Bert W. Rust Reprinted from the CD Rust, B. W[removed]) “Parameter Selection for Constrained Solutions to Ill-Posed Problems,” Computing Science and S Add to Reading List Source URL: math.nist.gov Language: English - Date: 2005-04-06 15:12:38 Estimation theory Econometrics Measurement Linear least squares Residual sum of squares Errors and residuals in statistics Tikhonov regularization Degrees of freedom Periodogram Statistics Regression analysis Least squares
456	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
457	Package ‘mclust’ September 16, 2014 Version 4.4 Date[removed]Author Chris Fraley, Adrian Raftery and Luca Scrucca Title Normal Mixture Modeling for Model-Based Clustering,Classification, and Density Estimation Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-16 05:58:04 Mixture model Expectation–maximization algorithm Bayesian information criterion Multivariate statistics Density estimation Regularization Statistics Machine learning Statistical classification
458	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
459	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
460	Table of Contents 1. Archipelago: Nonparametric Bayesian Semi-Supervised Learning ........................................................ 1 Ryan Adams and Zoubin Ghahramani 2. Tractable Nonparametric Bayesian Inference Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-06-20 15:37:14 Networks Bayesian statistics Probability theory Supervised learning Bayesian network Structured prediction Regularization Linear classifier Unsupervised learning Statistics Machine learning Graphical models

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