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Regularization
Results: 577

#	Item
461	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
462	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
463	Efficient Sparse Modeling with Automatic Feature Grouping Leon Wenliang Zhong [removed] James T. Kwok [removed] Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:37 Regression analysis Mathematical optimization Elastic net regularization Quadratic programming Feature selection Machine learning Factorial Lasso Stability Mathematics Learning Statistics
464	Vector-valued Manifold Regularization H` a Quang Minh Italian Institute of Technology, Via Morego 30, Genoa 16163, Italy Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:36 Abstract algebra Linear algebra Differential topology Vectors Vector calculus Positive-definite kernel Differentiable manifold Linear map Vector field Algebra Mathematics Mathematical analysis
465	Package ‘glmnet’ July 2, 2014 Type Package Title Lasso and elastic-net regularized generalized linear models Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 12:00:09 Categorical data Actuarial science Machine learning Poisson regression Multinomial logit Generalized linear model Regularization Linear regression Elastic net regularization Statistics Regression analysis Econometrics
466	Full Regularization Path for Sparse Principal Component Analysis Alexandre d’Aspremont ORFE, Princeton University, Princeton NJ 08544, USA. [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:24:18 Matrix theory Singular value decomposition Data analysis Operations research Principal component analysis Semidefinite programming Eigenvalues and eigenvectors Variance Linear programming Algebra Mathematics Linear algebra
467	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
468	Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes Marek Petrik* [removed] Gavin Taylor† Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:51 Linear temporal logic Functional analysis Distribution Representation theory
469	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
470	Thang Nguyen, Yuening Hu, and Jordan Boyd-Graber. Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms. Association for Computational Linguistics, 2014. @inproceedings{Nguyen:Hu Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-09 22:19:36 Markov models Estimation theory Linear algebra Latent Dirichlet allocation Mixture model Topic model Hidden Markov model Regularization Expectation–maximization algorithm Statistics Machine learning Statistical natural language processing

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