基于choquet模糊積分的多分類器系統(tǒng)多樣性研究-文庫吧資料
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【正文】 ionship between generalization error and ambiguity in regression ensembles, Trinity College Dublin. [6] Michel Grabisch, Fuzzy integral in multicriteria decision making, Fuzzy Sets and Systems 69 (1995)279298. [7] Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer and W. Philip Kegelmeyer, A New Ensemble Diversity Measure Applied to Thinning Ensembles, International Workshop on Multiple Classifier Systems, , 20xx. 2020/6/28 16 [8] Gabriele Zenobi and Padraig Cunningham, Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error, Trinity College Dublin. [9] Dymitr Ruta and Bogdan Gabrys, New Measure of Classifier Dependency in Multiple Classifier Systems, United Kingdom. [10] Zhenyuan Wang, KwongSak Leung, ManLeung Wong and Jian Fang, A new type of nonlinear integrals and the putational algorithm, Fuzzy Sets and Systems 112 (20xx) 223231. [11] Amanda . Sharkey and Noel E. Sharkey, Diversity, Selection, and Ensembles of Artificial Neural Nets, . [12] Michel Grabisch , The representation of importance and interaction of features by fuzzy measures, Pattern Recognition Letters 17 (1996) 567575. [13] Zhenyuan Wang, KwongSak Leung and Jian Fang, Determining nonnegative monotone set functions based on Sugeno’s integral: an application of geic algorithm, Fuzzy Sets and Systems 112 (20xx) 155164. [14] James and Jeffrey Osborn, Training the Fuzzy Integral,International Journal of Approximate Reasoning 1996. BACK 2020/6/28 17 2020/6/28 18 。nonlcon返回約束
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