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Dimensional regularization
Results: 23

#	Item
11	M ANIFOLD 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 18:30:12 Physics Summability methods Statistical classification Mathematics Supervised learning Regularization Manifold Support vector machine Solid modeling Machine learning Quantum field theory Mathematical analysis
12	R EGULARIZATION WITH M ULTIPLE K ERNELS 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: 2014-07-02 13:40:18 Mathematical analysis Machine learning Regularization Kernel Reproducing kernel Hilbert space Mathematics Quantum field theory Summability methods Physics
13	JOURNAL OF MATHEMATICAL PHYSICS 46, 032301 共2005兲 Yang–Mills action from minimally coupled bosons on R4 and on the four-dimensional Moyal plane Juha Loikkanen and Cornelius Paufler Mathematical Physics/AlbaNova, R Add to Reading List Source URL: www.mertzlufft-paufler.de Language: English - Date: 2007-02-11 07:07:59 Linear algebra Mathematical analysis Quantum field theory String theory Zeta function regularization Trace Noncommutative geometry Physics Mathematics Theoretical physics
14	A Dirty Model for Multi-task Learning Ali Jalali University of Texas at Austin [removed] Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2010-11-05 21:08:25 Econometrics Linear regression Sparse approximation Dimensional analysis Regularization Normal distribution Statistics Regression analysis Estimation theory
15	Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction Luheng He Jennifer Gillenwater Computer and Information Science University of Pennsylvania Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2013-06-12 16:10:52 Conditional random field Machine learning Theoretical computer science Derivative Expectation–maximization algorithm Laplace operator Dimensional analysis Graph partition Mathematical analysis Mathematics Calculus
16	IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 55, NO. 5, MAY[removed]Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using `1-Constrained Quadratic Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2009-11-08 19:17:59 Mathematical optimization Estimation theory Linear algebra Numerical linear algebra Sparse approximation Least squares Normal distribution Regularization Compressed sensing Statistics Regression analysis Mathematics
17	Support union recovery in high-dimensional multivariate regression Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2010-12-27 00:49:35 Econometrics Multivariate statistics Linear algebra Linear regression Tikhonov regularization Regularization Least squares General linear model Lasso Statistics Regression analysis Estimation theory
18	The huge Package for High-dimensional Undirected Graph Estimation in R Tuo Zhao Kathryn Roeder ‡ Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 12:08:53 Matrices Bayesian statistics Degree Graphical model Adjacency matrix Connectivity Regularization Dense graph Covariance matrix Statistics Graph theory Mathematics
19	Feature selection, L1 vs. L2 regularization, and rotational invariance Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305, USA Abstract Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:54 Econometrics M-estimators Regression analysis Maximum likelihood Supervised learning Rotation matrix Regularization Linear regression Dimensional analysis Statistics Estimation theory Machine learning
20	An Efficient Sparse Metric Learning in High-Dimensional Space via !1 -Penalized Log-Determinant Regularization Guo-Jun Qi [removed] Depart. ECE, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:51 Matrix theory Matrices Multivariate statistics Linear algebra Data analysis Mahalanobis distance Matrix Multivariate normal distribution Covariance matrix Algebra Statistics Mathematics

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