ElasticNet Hui Zou, Stanford University

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Date: 2005-04-21 20:08:21 Elastic net regularization Machine learning Least-angle regression Regularization Linear regression Feature selection Statistics Regression analysis Econometrics		ElasticNet Hui Zou, Stanford University Add to Reading List Source URL: www.stanford.edu Download Document from Source Website File Size: 184,79 KB Share Document on Facebook

	J. R. Statist. Soc. B, Part 3, pp. 575–589 Bayesian variable selection and regularization for time–frequency surface estimation Patrick J. Wolfe, Simon J. Godsill and Wee-Jing Ng DocID: 1vqA2 - View Document
	A PDE APPROACH TO REGULARIZATION IN DEEP LEARNING ADAM OBERMAN JOINT WORK WITH CHAUDHARI, OSHER, SOATTO AND CARLIER The fundamental tool for training deep neural networks is Stochastic Gradient DocID: 1vpo0 - View Document
	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 23, NO. 11, NOVEMBERSemisupervised Classification With Cluster Regularization DocID: 1vmvh - View Document
	Downloaded by [the Bodleian Libraries of the University of Oxford] at 00:41 03 NovemberOptimization Methods & Software iFirst, 2011, 1–23 Evaluation complexity of adaptive cubic regularization methods DocID: 1vlOh - View Document
	Prior knowledge regularization in statistical medical image tasks Alessandro Crimi1 , Jon Sporring1 , Marleen de Bruijne2 , Martin Lillholm3 , Mads Nielsen1,3 DIKU, University of Copenhagen, Denmark Erasmus University Me DocID: 1vkIf - View Document