Feature grouping and selection over an undirected graph
暂无分享,去创建一个
Jieping Ye | Peter Wonka | Sen Yang | Ying-Cheng Lai | Lei Yuan | Xiaotong Shen | Xiaotong Shen | Jieping Ye | Y. Lai | Peter Wonka | Lei Yuan | Sen Yang
[1] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[2] T. Ideker,et al. Network-based classification of breast cancer metastasis , 2007, Molecular systems biology.
[3] T. P. Dinh,et al. Convex analysis approach to d.c. programming: Theory, Algorithm and Applications , 1997 .
[4] R. Tibshirani,et al. Sparsity and smoothness via the fused lasso , 2005 .
[5] Jieping Ye,et al. Moreau-Yosida Regularization for Grouped Tree Structure Learning , 2010, NIPS.
[6] Xiaotong Shen,et al. Adaptive Model Selection , 2002 .
[7] H. Bondell,et al. Simultaneous Regression Shrinkage, Variable Selection, and Supervised Clustering of Predictors with OSCAR , 2008, Biometrics.
[8] P. Zhao,et al. The composite absolute penalties family for grouped and hierarchical variable selection , 2009, 0909.0411.
[9] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[10] Pham Dinh Tao,et al. Duality in D.C. (Difference of Convex functions) Optimization. Subgradient Methods , 1988 .
[11] N. Tzourio-Mazoyer,et al. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.
[12] Hongzhe Li,et al. In Response to Comment on "Network-constrained regularization and variable selection for analysis of genomic data" , 2008, Bioinform..
[13] Jieping Ye,et al. Efficient Methods for Overlapping Group Lasso , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Hongliang Fei,et al. Regularization and feature selection for networked features , 2010, CIKM '10.
[15] E. Xing,et al. Statistical Estimation of Correlated Genome Associations to a Quantitative Trait Network , 2009, PLoS genetics.
[16] Jing Li,et al. Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data , 2009, NIPS.
[17] Shuiwang Ji,et al. SLEP: Sparse Learning with Efficient Projections , 2011 .
[18] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[19] Wei Pan,et al. Simultaneous supervised clustering and feature selection over a graph. , 2012, Biometrika.
[20] Michael I. Jordan,et al. Multiple kernel learning, conic duality, and the SMO algorithm , 2004, ICML.
[21] Julien Mairal,et al. Proximal Methods for Sparse Hierarchical Dictionary Learning , 2010, ICML.
[22] A. Rinaldo. Properties and refinements of the fused lasso , 2008, 0805.0234.
[23] Tong Zhang. Multi-stage Convex Relaxation for Feature Selection , 2011, 1106.0565.
[24] Leon Wenliang Zhong,et al. Efficient Sparse Modeling With Automatic Feature Grouping , 2011, IEEE Transactions on Neural Networks and Learning Systems.
[25] Jean-Philippe Vert,et al. Group lasso with overlap and graph lasso , 2009, ICML '09.
[26] Xiaotong Shen,et al. Grouping Pursuit Through a Regularization Solution Surface , 2010, Journal of the American Statistical Association.
[27] Xiaotong Shen,et al. Simultaneous Grouping Pursuit and Feature Selection Over an Undirected Graph , 2013, Journal of the American Statistical Association.
[28] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .