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Feature selection via sensitivity analysis of SVM probabilistic outputs.

, , , and . Machine Learning, 70 (1): 1-20 (2008)

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Feature selection via sensitivity analysis of MLP probabilistic outputs., , , and . SMC, page 774-779. IEEE, (2008)A Feature Selection Method for Multilevel Mental Fatigue EEG Classification., , , , and . IEEE Trans. Biomed. Engineering, 54 (7): 1231-1237 (2007)Novel multi-class feature selection methods using sensitivity analysis of posterior probabilities., , , and . SMC, page 1116-1121. IEEE, (2008)Feature selection via sensitivity analysis of SVM probabilistic outputs., , , and . Machine Learning, 70 (1): 1-20 (2008)Automatic EEG Artifact Removal: A Weighted Support Vector Machine Approach With Error Correction., , , , and . IEEE Trans. Biomed. Engineering, 56 (2): 336-344 (2009)Feature Selection Using SVM Probabilistic Outputs., , , , and . ICONIP (1), volume 4232 of Lecture Notes in Computer Science, page 782-791. Springer, (2006)Feature Selection for MLP Neural Network: The Use of Random Permutation of Probabilistic Outputs., , , and . IEEE Trans. Neural Networks, 20 (12): 1911-1922 (2009)Common Spatio-Temporal Pattern for Single-Trial Detection of Event-Related Potential in Rapid Serial Visual Presentation Triage., , , , , and . IEEE Trans. Biomed. Engineering, 58 (9): 2513-2520 (2011)Automatic identification and removal of artifacts in EEG using a probabilistic multi-class SVM approach with error correction., , , , and . SMC, page 1134-1139. IEEE, (2008)