Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: By the inspiration of the Gaussian noise reduction, the study extends a local-global hybrid learning system to make a classification robust. The system formed by a two-stage scheme with a preprocessor of nonparametric density estimator to evaluate locally the contaminant level of the degenerated training data, and a postprocessor of fuzzy support vector machine to learn globally an optimized classifier. As expected, the fuzzified classifier could achieve a better robustness. The improvement is indeed carried out by the extension which extends the nonparametric density estimators to a more general distance-ighted versions. Both the theoretical elaboration of the hybrid system and corresponding simulations are included in this paper.
['Yi-Wen Cheng', 'Te-Jen Wen', 'Hui-Chuan Cheng', 'Chan-Yun Yang']
I am writing a research paper on a idea Distance weighted fuzzy k-NN SVM
[{"from": "human", "value": "I am writing a research paper on a idea Distance weighted fuzzy k-NN SVM"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: By the inspiration of the Gaussian noise reduction, the study extends a local-global hybrid learning system to make a classification robust. The system formed by a two-stage scheme with a preprocessor of nonparametric density estimator to evaluate locally the contaminant level of the degenerated training data, and a postprocessor of fuzzy support vector machine to learn globally an optimized classifier. As expected, the fuzzified classifier could achieve a better robustness. The improvement is indeed carried out by the extension which extends the nonparametric density estimators to a more general distance-ighted versions. Both the theoretical elaboration of the hybrid system and corresponding simulations are included in this paper."}]