Friedman and Wilcoxon Evaluations Comparing SVM, Bagging, Boosting, K-NN and Decision Tree Classifiers
作者： Vinai George Biju , CM Prashanth
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sci-hub.se 参考文章(33)
Bartosz A. Nowak, Robert K. Nowicki, Marcin Woźniak, Christian Napoli, Multi-class Nearest Neighbour Classifier for Incomplete Data Handling international conference on artificial intelligence and soft computing. pp. 469- 480 ,(2015) , 10.1007/978-3-319-19324-3_42
Christopher Kotfila, Özlem Uzuner, A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases Journal of Biomedical Informatics. ,vol. 58, ,(2015) , 10.1016/J.JBI.2015.07.016
Nikola Simidjievski, Ljupčo Todorovski, Sašo Džeroski, Predicting long-term population dynamics with bagging and boosting of process-based models Expert Systems With Applications. ,vol. 42, pp. 8484- 8496 ,(2015) , 10.1016/J.ESWA.2015.07.004
Janez Demšar, Statistical Comparisons of Classifiers over Multiple Data Sets Journal of Machine Learning Research. ,vol. 7, pp. 1- 30 ,(2006)
Jonathan J. Oliver, David J. Hand, On Pruning and Averaging Decision Trees Machine Learning Proceedings 1995. pp. 430- 437 ,(1995) , 10.1016/B978-1-55860-377-6.50060-8
John Östh, William A. V. Clark, Bo Malmberg, Measuring the Scale of Segregation Using k‐Nearest Neighbor Aggregates Geographical Analysis. ,vol. 47, pp. 34- 49 ,(2015) , 10.1111/GEAN.12053
Matjaž Majnik, Zoran Bosnić, ROC analysis of classifiers in machine learning: A survey intelligent data analysis. ,vol. 17, pp. 531- 558 ,(2013) , 10.3233/IDA-130592
Hocine Cherifi, Vincent Labatut, Accuracy Measures for the Comparison of Classifiers arXiv: Learning. ,(2012)
Marcin Korytkowski, Leszek Rutkowski, Rafał Scherer, Fast image classification by boosting fuzzy classifiers Information Sciences. ,vol. 327, pp. 175- 182 ,(2016) , 10.1016/J.INS.2015.08.030
Graziella Orrù, William Pettersson-Yeo, Andre F. Marquand, Giuseppe Sartori, Andrea Mechelli, Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review Neuroscience & Biobehavioral Reviews. ,vol. 36, pp. 1140- 1152 ,(2012) , 10.1016/J.NEUBIOREV.2012.01.004