Ensemble Enhanced Evidential k-NN Classifier Through Rough Set Reducts
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Publisher
Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-319-91473-2_33
Reference32 articles.
1. Bhatt, R.B., Gopal, M.: On fuzzy-rough sets approach to feature selection. Pattern Recogn. Lett. 26(7), 965–975 (2005)
2. Bryll, R., Gutierrez-Osuna, R., Quek, F.: Attribute bagging: improving accuracy of classifier ensembles by using random feature subsets. Pattern Recogn. 36(6), 1291–1302 (2003)
3. Debie, E., Shafi, K., Lokan, C., Merrick, K.: Reduct based ensemble of learning classifier system for real-valued classification problems. In: IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL), pp. 66–73. IEEE (2013)
4. Dempster, A.P.: Upper and lower probabilities induced by a multivalued mapping. Ann. Math. Stat. 38, 325–339 (1967)
5. Günter, S., Bunke, H.: Feature selection algorithms for the generation of multiple classifier systems and their application to handwritten word recognition. Pattern Recogn. Lett. 25(11), 1323–1336 (2004)
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