A novel feature selection method for twin support vector machine
暂无分享,去创建一个
Lan Bai | Yuan-Hai Shao | Zhen Wang | Nai-Yang Deng | N. Deng | Y. Shao | Lan Bai | Zhen Wang
[1] Alexander J. Smola,et al. Learning with kernels , 1998 .
[2] Gunnar Rätsch,et al. A New Discriminative Kernel from Probabilistic Models , 2001, Neural Computation.
[3] Yuan-Hai Shao,et al. Improvements on Twin Support Vector Machines , 2011, IEEE Transactions on Neural Networks.
[4] K. I. Ramachandran,et al. Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing , 2007 .
[5] Glenn Fung,et al. A Feature Selection Newton Method for Support Vector Machine Classification , 2004, Comput. Optim. Appl..
[6] Yong Shi,et al. Twin support vector machine with Universum data , 2012, Neural Networks.
[7] Yuan-Hai Shao,et al. Least squares twin parametric-margin support vector machine for classification , 2013, Applied Intelligence.
[8] Gang Kou,et al. Feature Selection for Nonlinear Kernel Support Vector Machines , 2007 .
[9] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[10] Trevor Hastie,et al. Support Vector Machines , 2013 .
[11] Jieping Ye,et al. Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization , 2009, UAI.
[12] G. Dantzig,et al. Notes on Linear Programming: Part 1. The Generalized Simplex Method for Minimizing a Linear Form under Linear Inequality Restraints , 1954 .
[13] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[14] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[15] E. L. Ulungu,et al. Multi‐objective combinatorial optimization problems: A survey , 1994 .
[16] Yuan-Hai Shao,et al. Proximal parametric-margin support vector classifier and its applications , 2012, Neural Computing and Applications.
[17] Huan Liu,et al. Feature Selection for Classification , 1997, Intell. Data Anal..
[18] Yong Shi,et al. Robust twin support vector machine for pattern classification , 2013, Pattern Recognit..
[19] Yuan-Hai Shao,et al. A GA-based model selection for smooth twin parametric-margin support vector machine , 2013, Pattern Recognit..
[20] R. J. Dakin,et al. A tree-search algorithm for mixed integer programming problems , 1965, Comput. J..
[21] Daphne Koller,et al. Toward Optimal Feature Selection , 1996, ICML.
[22] Anil K. Jain,et al. Feature Selection: Evaluation, Application, and Small Sample Performance , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[23] M. Anjos,et al. Tight Mixed Integer Linear Programming Formulations for the Unit Commitment Problem , 2012, IEEE Transactions on Power Systems.
[24] Yuan-Hai Shao,et al. A coordinate descent margin based-twin support vector machine for classification , 2012, Neural Networks.
[25] Hiroshi Motoda,et al. Feature Selection for Knowledge Discovery and Data Mining , 1998, The Springer International Series in Engineering and Computer Science.
[26] Pedro Larrañaga,et al. Feature Subset Selection by Bayesian network-based optimization , 2000, Artif. Intell..
[27] Nai-Yang Deng,et al. Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions , 2012 .
[28] Olvi L. Mangasarian,et al. Nonlinear Programming , 1969 .
[29] Yuan-Hai Shao,et al. Nonparallel hyperplane support vector machine for binary classification problems , 2014, Inf. Sci..
[30] Olvi L. Mangasarian,et al. Multisurface proximal support vector machine classification via generalized eigenvalues , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Olvi L. Mangasarian,et al. Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization , 2006, J. Mach. Learn. Res..
[32] Robert Tibshirani,et al. 1-norm Support Vector Machines , 2003, NIPS.
[33] Huan Liu,et al. Neural-network feature selector , 1997, IEEE Trans. Neural Networks.
[34] Reshma Khemchandani,et al. Twin Support Vector Machines for Pattern Classification , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] Deng Cai,et al. Laplacian Score for Feature Selection , 2005, NIPS.
[36] Ralph E. Gomory,et al. INTEGER PROGRAMMING AND PRICING , 1960 .
[37] Chih-Jen Lin,et al. Feature Ranking Using Linear SVM , 2008, WCCI Causation and Prediction Challenge.
[38] Laurence A. Wolsey,et al. Solving Mixed Integer Programming Problems Using Automatic Reformulation , 1987, Oper. Res..
[39] Y. Dodge. on Statistical data analysis based on the L1-norm and related methods , 1987 .
[40] Xiaowei Yang,et al. A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises , 2011, IEEE Transactions on Fuzzy Systems.