Regularization - PDFSEARCH.IO - Document Search Engine

Regularization
Results: 577

#	Item
531	Dual Averaging Method for Regularized Stochastic Learning and Online Optimization Lin Xiao Microsoft Research, Redmond, WA[removed]removed] Add to Reading List Source URL: machinelearning.wustl.edu Language: English - Date: 2013-03-25 14:07:10 Stochastic optimization Operations research Convex optimization Quantum field theory Stochastic gradient descent Stochastic approximation Least squares Regularization Subgradient method Mathematical optimization Numerical analysis Mathematical analysis
532	Do you need JMP Pro? ® advanced analytics JMP Pro is the advanced analytics version of JMP that lets you use the data Add to Reading List Source URL: www.jmp.com Language: English - Date: 2013-08-29 10:48:22 Business intelligence Data analysis JMP Statistical models SAS Predictive analytics Partial least squares regression Cross-validation Regularization Statistics Regression analysis Machine learning
533	A NOTE ON THE ADAPTIVE LASSSO UNDER A GENERALIZED SPARSITY CONDITION Add to Reading List Source URL: faculty.wcas.northwestern.edu Language: English - Date: 2011-12-30 17:38:16 Least squares Linear model Lasso Estimation theory Linear regression Elastic net regularization Statistics Regression analysis Ordinary least squares
534	COMBINING PHENOTYPIC AND GENOTYPIC DATA TO DISCOVER MULTIPLE DISEASE GENES Hannu Toivonen, Saara Hyv¨onen, Petteri Sevon Add to Reading List Source URL: www.cs.helsinki.fi Language: English - Date: 2005-04-22 02:22:11 Genetic linkage Gene Quantitative trait locus Polymorphism Tikhonov regularization Heredity Human genome Quantitative genetics Polygene Biology Genetics Philosophy of biology
535	Microsoft PowerPoint - Supervised_Learning_Model_Selection.ppt Add to Reading List Source URL: www.cs.colorado.edu Language: English - Date: 2004-01-27 17:17:36 Learning Cross-validation Supervised learning Support vector machine Training set Regularization Ensemble learning Machine learning Statistics Artificial intelligence
536	Sparse methods for machine learning Theory and algorithms Francis Bach Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2010-07-05 15:25:38 Regularization Supervised learning Kernel methods Lasso Feature selection Sparse matrix Statistics Machine learning Artificial intelligence
537	EMPIRICAL SELECTION OF THE REGULARIZATION PARAMETER IN NONPARAMETRIC INSTRUMENTAL VARIABLES ESTIMATION Add to Reading List Source URL: faculty.wcas.northwestern.edu Language: English - Date: 2011-11-09 15:09:44 Statistical theory Econometrics Regression analysis Estimator Bayes estimator Adaptive estimator Normal distribution Instrumental variable Consistent estimator Statistics Estimation theory Statistical inference
538	Supervised learning for computer vision: Theory and algorithms - Introduction Francis Bach1 & Jean-Yves Audibert2,1 1. 2. Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2008-10-11 16:24:31 Supervised learning Kernel methods Regularization Vapnik–Chervonenkis theory Stability Machine learning Statistics Artificial intelligence
539	Learning with sparsity-inducing norms Francis Bach INRIA - Ecole Normale Sup´erieure MLSS[removed]Ile de R´e, 2008 Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2008-09-09 04:13:06 Linear algebra Mathematical optimization Mathematical analysis Regularization Supervised learning Vector space Convex optimization Algebra Mathematics Machine learning
540	Supervised learning for computer vision: Theory and algorithms - Part II Francis Bach1 & Jean-Yves Audibert2,1 1. 2. Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2008-10-11 19:16:28 Support vector machine Kernel methods Binary classification Supervised learning Multiclass classification Regularization Multi-label classification Regression analysis Least squares support vector machine Statistics Machine learning Statistical classification

UPDATE