New technique for feature selection: Combination between elastic net and relief
暂无分享,去创建一个
[1] Huan Liu,et al. A Dilemma in Assessing Stability of Feature Selection Algorithms , 2011, 2011 IEEE International Conference on High Performance Computing and Communications.
[2] J. Ogutu,et al. Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions , 2012, BMC Proceedings.
[3] R. Tibshirani,et al. Regression shrinkage and selection via the lasso: a retrospective , 2011 .
[4] Rong Jin,et al. Exclusive Lasso for Multi-task Feature Selection , 2010, AISTATS.
[5] Songyot Nakariyakul,et al. A Review of Suboptimal Branch and Bound Algorithms , .
[6] Sri Ramakrishna,et al. FEATURE SELECTION METHODS AND ALGORITHMS , 2011 .
[7] Larry A. Rendell,et al. A Practical Approach to Feature Selection , 1992, ML.
[8] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[9] Igor Kononenko,et al. ReliefF for estimation and discretization of attributes in classification, regression, and ILP probl , 1996 .
[10] Pavel Pudil,et al. Efficient Feature Subset Selection and Subset Size Optimization , 2010 .
[11] Noor Azilah Muda. Computationally Inexpensive Sequential Forward Floating Selection for Acquiring Significant Features , 2011 .
[12] Marko Robnik-Sikonja,et al. An adaptation of Relief for attribute estimation in regression , 1997, ICML.
[13] Masashi Sugiyama,et al. High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso , 2012, Neural Computation.
[14] Hassan Chouaib. Sélection de caractéristiques : Méthodes et applications , 2011 .
[15] Yuming Zhou,et al. A Feature Subset Selection Algorithm Automatic Recommendation Method , 2013, J. Artif. Intell. Res..
[16] Mohammad-Reza Feizi-Derakhshi,et al. Classifying Different Feature Selection Algorithms Based on the Search Strategies , .
[17] Josef Kittler,et al. Floating search methods in feature selection , 1994, Pattern Recognit. Lett..
[18] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[19] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[20] P. Bühlmann,et al. The group lasso for logistic regression , 2008 .
[21] Francesc J. Ferri,et al. Fast Branch & Bound Algorithm in Feature Selection , 2007 .
[22] Huan Liu,et al. Feature Selection for Classification , 1997, Intell. Data Anal..