Tag lasso [84 articles] Export

Recent papers classified by the tag lasso.

	Weighted-Lasso for Structured Network Inference from Time Course Data [My Copy] (9 Dec 2009) by Camille Charbonnier, Julien Chiquet, Christophe Ambroise posted to time_course sysbio network lasso graphical_models arxiv by dah on 2009-12-10 09:21:25 as
	Regularization and variable selection via the elastic net [My Copy] Journal of the Royal Statistical Society Series B, Vol. 67, No. 2. (April 2005), pp. 301-320. by Hui Zou, Trevor Hastie posted to td penalization lasso by buyske on 2009-12-09 02:58:46 as along with 1 person abellogin
	Revisiting Marginal Regression [My Copy] (20 Nov 2009) by Christopher Genovese, Jiashun Jin, Larry Wasserman posted to regression lasso high_dimensionality arxiv by dah on 2009-11-23 09:27:06 as
	High-dimensional graphs and variable selection with the lasso [My Copy] Ann. Statist., Vol. 34, No. 3. (2006), pp. 1436-1462. by Nicolai Meinshausen, Peter Bühlmann posted to variable selection lasso inverse covariance by pikipiki on 2009-10-27 21:04:53 as along with 1 person nurban
	Bayesian Variable Selection in Linear Regression [My Copy] Journal of the American Statistical Association, Vol. 83, No. 404. (1988), pp. 1023-1032. by T. J. Mitchell, J. J. Beauchamp posted to variable-selection lasso graphical-models bayesian by pcarbo on 2009-10-26 20:15:32 as along with 1 person engelhardt
	The Elements of Statistical Learning [My Copy] (30 July 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted to machine-learning lasso dimension-reduction book by abellogin on 2009-10-17 01:44:36 as along with 61 people and 11 groups ulmer fjanoos azhdari emailhy donnachie singhsh mahmoodr lop idlebrain makrehchi awarlau gabriprat gokopal alexeigor liamtoh333 amsantos minrmw brian eddymier roys akastrin robotact thefillm ansobol pdlug yaroslavvb bigga jelsas davidr gyuli garyfeng aufrank neteler leidner chad_davis jekky balajis Jaykul balicea sdvillal donade bigbossman sbarthelme bedo AbnerCYH nojhan bamberg kgajos raiyar deysandeep petrposik dbgrant nmdang alfirk brianmc jung_dalglish dquercia blueskies Repton quianominorleo jaonary LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
	The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) [My Copy] (15 September 2009) by Trevor Hastie, Robert Tibshirani, Jerome Friedman posted to textbook ridge_regression lasso data_mining classification_trees by derwisch on 2009-10-16 18:48:18 as along with 10 people imrchen pjmaybank robertlischke saus83 Diego_Prada ilyashl ocs christofseiler matjes czeller
	Averaged gene expressions for regression. [My Copy] Biostatistics (Oxford, England), Vol. 8, No. 2. (11 April 2007), pp. 212-227. by Mee Young Y. Park, Trevor Hastie, Robert Tibshirani posted to regression lasso hierarchical gene-expression clustering averaging by bertelsen on 2009-10-06 22:03:32 as along with 1 person jfr
	Sparse principal component analysis via regularized low rank matrix approximation [My Copy] Journal of Multivariate Analysis, Vol. 99, No. 6. (July 2008), pp. 1015-1034. by H. Shen, J. Huang posted to svd sparsity pca matrix-approximation lasso journal dimension-reduction by abellogin on 2009-10-04 23:24:37 as
	Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty [My Copy] In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (August 2009), pp. 477-485. by Yoshimasa Tsuruoka, Jun'ichi Tsujii, Sophia Ananiadou posted to sgd models ml linear lasso l1 by pprett on 2009-09-21 10:28:35 as along with 1 person markusd
	Rank-based estimation in the ell1-regularized partly linear model for censored outcomes with application to integrated analyses of clinical predictors and gene expression data [My Copy] Biostat, Vol. 10, No. 4. (1 October 2009), pp. 659-666. by Brent A. Johnson posted to variable survival selection penalization microarray lasso clinical by rdiaz on 2009-09-15 16:34:52 as
	Gradient lasso for Cox proportional hazards model [My Copy] Bioinformatics, Vol. 25, No. 14. (15 July 2009), pp. 1775-1781. by Insuk Sohn, Jinseog Kim, Sin-Ho Jung, Changyi Park posted to survival penalization lasso expression cox by rdiaz on 2009-09-09 17:46:34 as along with 3 people jfr reconnie neils
	A Modified Principal Component Technique Based on the LASSO [My Copy] Journal of Computational and Graphical Statistics, Vol. 12, No. 3. (September 2003), pp. 531-547. by Ian T. Jolliffe, Nickolay T. Trendafilov, Mudassir Uddin posted to sparsity pca lasso by abellogin on 2009-09-03 12:06:40 as
	Convex Optimization [My Copy] (08 March 2004) by Stephen Boyd, Lieven Vandenberghe posted to sparsity lasso convex-optimization code book by abellogin on 2009-08-29 06:45:51 as along with 32 people and 2 groups leisti CEhrler colass vgauthier gtdj thomast3 martinthesis sbarthelme Mnourian ansobol yaroslavvb gyuli dariusb joeionnojitsu pjliu BarrosH mh olethros sdvillal NeilInCanadia ngoncalves atbrew paulinus alexv teesid jung_dalglish BrianTomasik gixgax daniel51 samedina chinkeong MarkEveritt Autonomous_Vehicles Networked_Control_Systems
	A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization [My Copy] Journal of Machine Learning Research, Vol. 10 (March 2009), pp. 803-826. by Jacob Abernethy, Francis Bach, Theodoros Evgeniou, Jean-Philippe Vert posted to supervised-projection lasso collaborative-filtering by abellogin on 2009-08-29 00:56:09 as along with 2 people zhaomin EmreSevinc
	Least Angle Regression [My Copy] (30 Jun 2004) by Bradley Efron, Trevor Hastie, Iain Johnstone, Robert Tibshirani posted to sparsity lasso journal internship-09 definition code by abellogin on 2009-08-25 18:30:27 as along with 2 people casutton donnachie
	Consistency of the group Lasso and multiple kernel learning [My Copy] (28 Jan 2008) by Francis Bach posted to sparsity non-parametric lasso internship-09 group convex-optimization code by abellogin on 2009-08-25 18:17:07 as
	Consistency of the Group Lasso and Multiple Kernel Learning [My Copy] J. Mach. Learn. Res., Vol. 9 (2008), pp. 1179-1225. by Francis R. Bach posted to lasso journal internship-09 group by abellogin on 2009-08-25 18:16:36 as
	The group lasso for logistic regression [My Copy] Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 70, No. 1. (February 2008), pp. 53-71. by Lukas Meier, Sara van de Geer, Peter Buhlmann posted to sparsity logistic-regression lasso journal internship-09 group code by abellogin on 2009-08-25 18:14:39 as along with 2 people buyske rdiaz
	Model selection and estimation in regression with grouped variables [My Copy] Journal of the Royal Statistical Society Series B, Vol. 68, No. 1. (February 2006), pp. 49-67. by Ming Yuan, Yi Lin posted to sparsity lasso journal internship-09 group by abellogin on 2009-08-23 00:08:43 as along with 3 people pikipiki eddymier mmunson
	Regression Shrinkage and Selection via the Lasso [My Copy] Journal of the Royal Statistical Society. Series B (Methodological), Vol. 58, No. 1. (1996), pp. 267-288. by Robert Tibshirani posted to sparsity lasso internship-09 definition code by abellogin on 2009-08-23 00:05:41 as along with 3 people ajbattle reconnie BrianTomasik
	Sparse Principal Component Analysis [My Copy] Journal of Computational and Graphical Statistics, Vol. 15, No. 2. (2006), pp. 265-286. by Hui Zou, Trevor Hastie, Robert Tibshirani posted to svd sparsity pca lasso journal internship-09 dimension-reduction by abellogin on 2009-08-12 11:15:27 as
	Regression coefficient and autoregressive order shrinkage and selection via the lasso [My Copy] Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 69, No. 1. (February 2007), pp. 63-78. by Hansheng Wang, Guodong Li, Chih-Ling Tsai posted to lasso by gmasarotto on 2009-08-08 07:19:20 as
	Variable Selection via Nonconcave Penalized Likelihood and Its Oracle Properties [My Copy] Journal of the American Statistical Association, Vol. 96, No. 456. (2001), pp. 1348-1360. by Jianqing Fan, Runze Li posted to lasso penalty selection by reconnie on 2009-07-18 05:09:14 as
	Variable Selection for Cox's Proportional Hazards Model and Frailty Model [My Copy] The Annals of Statistics, Vol. 30, No. 1. (2002), pp. 74-99. by Jianqing Fan, Runze Li posted to frailty hazard-model lasso right-censored scad by reconnie on 2009-07-17 01:40:51 as along with 1 person and 1 group zchen75 Statistics_and_Social_Science
	On Model Selection Consistency of Lasso [My Copy] J. Mach. Learn. Res., Vol. 7 (2006), pp. 2541-2563. by Peng Zhao, Bin Yu posted to lasso selection by reconnie on 2009-07-16 12:40:39 as
	Genome-wide association analysis by lasso penalized logistic regression [My Copy] Bioinformatics, Vol. 25, No. 6. (15 March 2009), pp. 714-721. by Tong T. Wu, Yi F. Chen, Trevor Hastie, Eric Sobel, Kenneth Lange posted to gwa lasso lr by guhjy on 2009-06-24 03:53:04 as along with 2 people jessopher rdiaz
	Sparse inverse covariance estimation with the graphical lasso [My Copy] Biostat, Vol. 9, No. 3. (1 July 2008), pp. 432-441. by Jerome Friedman, Trevor Hastie, Robert Tibshirani posted to graphical_gaussian lasso regression by roys on 2009-06-18 04:44:39 as along with 5 people capitall Borelli kliger cjeans tresch
	Reconstructing DNA Copy Number by Penalized Estimation and Imputation [My Copy] (23 Jul 2009) by Zhongyang Zhang, Kenneth Lange, Chiara Sabatti posted to arxiv cnv genomics hmm lasso regularisation sparsity by dah on 2009-06-15 09:17:17 as
	Robust Regression and Lasso [My Copy] (11 Nov 2008) by Huan Xu, Constantine Caramanis, Shie Mannor posted to lasso by Borelli on 2009-06-12 06:58:49 as along with 3 people xuzhe83 cager daniel51
	Regression shrinkage and selection via the lasso [My Copy] (1994) by R. Tibshirani posted to lasso regression by sniadecki on 2009-06-11 03:11:55 as along with 2 people srikanth1973 daniel51
	The Combination and Evaluation of Query Performance Prediction Methods [My Copy] In ECIR, Vol. 5478 (2009), pp. 301-312. by Claudia Hauff, Leif Azzopardi, Djoerd Hiemstra edited by Mohand Boughanem, Catherine Berrut, Josiane Mothe, et al.Chantal S. Dupuy, Mohand Boughanem, Catherine Berrut, Josiane Mothe, Chantal S. Dupuy posted to query-performance lasso ir evaluation ecir aggregation by abellogin on 2009-05-31 21:12:10 as
	Adaptive Dantzig density estimation [My Copy] (6 May 2009) by Karine Bertin, Erwan Le Pennec, Vincent Rivoirard posted to arxiv dantzig density_estimation lasso by dah on 2009-05-07 09:27:08 as
	Regularized estimation of large-scale gene association networks using graphical Gaussian models [My Copy] (30 Aug 2009) by Nicole Kraemer, Juliane Schaefer, Anne-Laure Boulesteix posted to arxiv graphical_models high_dimensionality lasso multivariate_normal sparsity by dah on 2009-05-06 09:21:15 as along with 1 person fastjoe23
	Laplace's 1774 Memoir on Inverse Probability [My Copy] Statistical Science, Vol. 1, No. 3. (1986), pp. 359-363. by Stephen M. Stigler posted to bayesian lasso probability by pcarbo on 2009-04-28 00:18:22 as
	On the Distribution of Penalized Maximum Likelihood Estimators: The LASSO, SCAD, and Thresholding [My Copy] (17 Apr 2009) by Benedikt M. Potscher, Hannes Leeb posted to arxiv lasso scad by dah on 2009-04-21 08:33:36 as
	On the "degrees of freedom" of the lasso [My Copy] (6 Dec 2007) by Hui Zou, Trevor Hastie, Robert Tibshirani posted to lasso penalized_regression regularized_regression by derwisch on 2009-04-16 10:04:32 as
	Missing values and sparse inverse covariance estimation [My Copy] (31 Mar 2009) by Nicolas Städler, Peter Bühlmann posted to arxiv high_dimensionality lasso multivariate_normal sparsity by dah on 2009-04-01 10:23:02 as
	Spatial smoothing and hot spot detection for CGH data using the fused lasso. [My Copy] Biostatistics (Oxford, England), Vol. 9, No. 1. (January 2008), pp. 18-29. by Robert Tibshirani, Pei Wang posted to cgh lasso smooth by rdiaz on 2009-03-26 16:36:49 as along with 2 people shikin debasis
	Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling [My Copy] (13 Mar 2009) by Shuheng Zhou, Sara van de Geer, Peter Bühlmann posted to arxiv graphical_models high_dimensionality lasso model_selection multivariate_normal by dah on 2009-03-17 09:24:30 as
	Bayesian projection approaches to variable selection and exploring model uncertainty [My Copy] (29 Jan 2009) by David Nott, Chenlei Leng posted to arxiv bayes lasso linear_model regression variable_selection by dah on 2009-01-30 09:16:58 as
	Robust estimation of Gaussian mixtures by $l_1$ penalization: an experimental study [My Copy] (29 Jan 2009) by Stephane Chretien posted to arxiv density_estimation e_m_algorithm lasso mixtures multivariate_normal by dah on 2009-01-30 09:13:26 as
	Pathwise coordinate optimization [My Copy] (14 Dec 2007) by Jerome Friedman, Trevor Hastie, Holger Höfling, Robert Tibshirani posted to lasso by gmasarotto on 2009-01-29 20:33:32 as
	On the Distribution of the Adaptive LASSO Estimator [My Copy] (16 Dec 2008) by Benedikt M. Pötscher, Ulrike Schneider posted to lasso by gmasarotto on 2009-01-29 20:26:49 as
	Lasso-Type Recovery of Sparse Representations for High-Dimensional Data [My Copy] (1 Jun 2008) by Nicolai Meinshausen, Bin Yu posted to lasso by gmasarotto on 2009-01-29 20:24:54 as
	Prediction and Interpretation of Distributed Neural Activity with Sparse Models [My Copy] NeuroImage, Vol. 44 (2009), pp. 112-122. by Melissa K. Carroll, Guillermo A. Cecchi, Irina Rish, Rahul Garg, A. Ravishankar Rao posted to feature_selection elastic-net lasso sparse-learning by sona on 2009-01-28 15:52:10 as along with 2 people librain eugeneduff
	Feature selection for high-dimensional data [My Copy] Computational Management Science, Vol. 6 (2009), pp. 25-40. by Augusto Destrero, Sofia Mosci, Christine De Mol, Alessandro Verri, Francesca Odone posted to gradient_descent feature_selection elastic-net feature-subsampling lasso ridge-regression subsampling by sona on 2009-01-28 14:49:26 as along with 1 person mdharsee
	Sparse principal component analysis [My Copy] Journal of Computational and Graphical Statistics, Vol. 15, No. 2. (2006), pp. 262-286. by H. Zou, T. Hastie, R. Tibshirani posted to elastic-net lasso pca sparse-learning spca by sona on 2009-01-28 11:40:08 as along with 1 person brianmc
	Subset selection for vector autoregressive processes using Lasso [My Copy] Computational Statistics & Data Analysis, Vol. 52, No. 7. (15 March 2008), pp. 3645-3657. by N. Hsu, H. Hung, Y. Chang posted to time-series lasso by gmasarotto on 2009-01-27 10:28:05 as
	Spades and Mixture Models [My Copy] (14 Jan 2009) by Florentina Bunea, Alexandre B. Tsybakov, Marten H. Wegkamp posted to arxiv density_estimation lasso multivariate_data by dah on 2009-01-15 11:18:40 as

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