Feature Selection for MLP Neural Network: The Use of Random Permutation of Probabilistic Outputs
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Jian-Bo Yang | Chong Jin Ong | Xiao Ping Li | Kai Quan Shen | C. Ong | K. Shen | Xiao Ping Li | Jian-Bo Yang | Xiaoping Li
[1] Huan Liu,et al. Neural-network feature selector , 1997, IEEE Trans. Neural Networks.
[2] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[3] Chong-Ho Choi,et al. Input feature selection for classification problems , 2002, IEEE Trans. Neural Networks.
[4] Chong Jin Ong,et al. Feature selection via sensitivity analysis of SVM probabilistic outputs , 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.
[5] John Scott Bridle,et al. Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition , 1989, NATO Neurocomputing.
[6] Fuhui Long,et al. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Tommy W. S. Chow,et al. Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information , 2005, IEEE Transactions on Neural Networks.
[8] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[9] Ron Kohavi,et al. Irrelevant Features and the Subset Selection Problem , 1994, ICML.
[10] Chun-Nan Hsu,et al. The ANNIGMA-wrapper approach to fast feature selection for neural nets , 2002, IEEE Trans. Syst. Man Cybern. Part B.
[11] Françoise Fogelman-Soulié,et al. Neurocomputing : algorithms, architectures and applications , 1990 .
[12] Ron Kohavi,et al. Wrappers for feature selection , 1997 .
[13] Deniz Erdogmus,et al. Feature selection in MLPs and SVMs based on maximum output information , 2004, IEEE Transactions on Neural Networks.
[14] E. S. Page. Errata: A Note on Generating Random Permutations , 1968 .
[15] Pat Langley,et al. Selection of Relevant Features and Examples in Machine Learning , 1997, Artif. Intell..
[16] Kurt Hornik,et al. Approximation capabilities of multilayer feedforward networks , 1991, Neural Networks.
[17] Huan Liu,et al. Efficient Feature Selection via Analysis of Relevance and Redundancy , 2004, J. Mach. Learn. Res..
[18] Alain Rakotomamonjy,et al. Variable Selection Using SVM-based Criteria , 2003, J. Mach. Learn. Res..
[19] Martin Fodslette Møller,et al. A scaled conjugate gradient algorithm for fast supervised learning , 1993, Neural Networks.
[20] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[21] Roberto Battiti,et al. Using mutual information for selecting features in supervised neural net learning , 1994, IEEE Trans. Neural Networks.
[22] Sayan Mukherjee,et al. Feature Selection for SVMs , 2000, NIPS.
[23] Vladimir Vapnik,et al. Statistical learning theory , 1998 .