Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance Learning
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[1] G. Yule. On the Association of Attributes in Statistics: With Illustrations from the Material of the Childhood Society, &c , 1900 .
[2] Xin Yao,et al. Diversity exploration and negative correlation learning on imbalanced data sets , 2009, 2009 International Joint Conference on Neural Networks.
[3] Alexander Dekhtyar,et al. Information Retrieval , 2018, Lecture Notes in Computer Science.
[4] Dimitris Kanellopoulos,et al. Handling imbalanced datasets: A review , 2006 .
[5] Robert P. W. Duin,et al. Limits on the majority vote accuracy in classifier fusion , 2003, Pattern Analysis & Applications.
[6] Salvatore J. Stolfo,et al. AdaCost: Misclassification Cost-Sensitive Boosting , 1999, ICML.
[7] Naonori Ueda,et al. Generalization error of ensemble estimators , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).
[8] Ludmila I. Kuncheva,et al. That Elusive Diversity in Classifier Ensembles , 2003, IbPRIA.
[9] Kagan Tumer,et al. Linear and Order Statistics Combiners for Pattern Classification , 1999, ArXiv.
[10] Xin Yao,et al. Diversity analysis on imbalanced data sets by using ensemble models , 2009, 2009 IEEE Symposium on Computational Intelligence and Data Mining.
[11] Peter Tiño,et al. Managing Diversity in Regression Ensembles , 2005, J. Mach. Learn. Res..
[12] G. Yule,et al. On the association of attributes in statistics, with examples from the material of the childhood society, &c , 1900, Proceedings of the Royal Society of London.
[13] Nitesh V. Chawla,et al. SMOTEBoost: Improving Prediction of the Minority Class in Boosting , 2003, PKDD.
[14] Cen Li,et al. Classifying imbalanced data using a bagging ensemble variation (BEV) , 2007, ACM-SE 45.
[15] C. J. Whitaker,et al. Ten measures of diversity in classifier ensembles: limits for two classifiers , 2001 .
[16] Nitesh V. Chawla,et al. Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets , 2007, MCS.
[17] Herna L. Viktor,et al. Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach , 2004, SKDD.