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Regularization
Results: 577

#	Item
471	Sparsity in Dependency Grammar Induction Jennifer Gillenwater and Kuzman Ganchev João Graça University of Pennsylvania L2 F INESC-ID Philadelphia, PA, USA Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-07-05 10:42:37 Machine learning Estimation theory Expectation–maximization algorithm Missing data Dirichlet process Independence Dependency grammar Treebank Regularization Statistics Probability theory Statistical dependence
472	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
473	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
474	-0.2 Overtting Fitting the noise, sto hasti /deterministi 0.4 Add to Reading List Source URL: www.amlbook.com Language: English - Date: 2014-07-09 00:45:57 Learning Machine learning Regularization Analysis
475	IEMS 490 Introduction to Machine Learning Mo-Wed: 11-12:20, Tech MG28 Professor: Jorge Nocedal, Add to Reading List Source URL: users.eecs.northwestern.edu Language: English - Date: 2014-04-16 11:12:03 Supervised learning Regularization Pattern recognition Neural network Support vector machine Stochastic gradient descent Statistical classification Perceptron Boosting Statistics Machine learning Artificial intelligence
476	PSfrag repla ements Review of Le ture 17 • Add to Reading List Source URL: www.amlbook.com Language: English - Date: 2014-07-09 00:45:53 Statistical inference Econometrics Supervised learning Regularization Bayesian inference Ensemble learning Overfitting Linear regression Book:Machine Learning - The Complete Guide Statistics Machine learning Regression analysis
477	Some computational and modeling issues for hierarchical models Andrew Gelman Dept of Statistics and Dept of Political Science, Columbia University, New York (Visiting Sciences Po, Paris, for 2009–2010) Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2009-11-26 09:04:09 Regularization Physics Andrew Gelman Statistics Solid modeling
478	Review of Le ture 12 • Choosing a regularizer λ Eaug(h) = Ein(h) + Ω(h) Add to Reading List Source URL: www.amlbook.com Language: English - Date: 2014-07-09 00:45:56 Eval Computing Machine learning Regularization Early stopping
479	Generated using version 3.0 of the official AMS LATEX template Robust Variable Selection in Functional Linear Models Jasdeep Pannu Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-29 14:34:24 Multicollinearity Least squares Functional data analysis Feature selection Logistic regression Regularization Statistics Regression analysis Linear regression
480	Scaling Up Coordinate Descent Algorithms for Large `1 Regularization Problems Chad Scherrer Pacific Northwest National Laboratory Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:38 Graph coloring Coordinate descent OpenMP Greedy algorithm Frank–Wolfe algorithm Algorithm Mathematics Numerical analysis Theoretical computer science

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