参考文献/References:
[1] MUSELLI M.On convergence properties of pocket algorithm[J].IEEE Transactions on Neural Networks,1997,8(3):623.DOI:10.1109/72.572101.
[2] YILDIZ O T,ALPAYDIN E.Linear discriminant trees[J].International Journal of Pattern Recognition and Artificial Intelligence,2005,19(3):323-353.
[3] MURTHY S K,KASIF S,SALZBERG S.A system for induction of oblique decision trees[J].Journal of Artificial Intelligence Research,1994,2(1):1-32.
[4] LOMAX S,VADERA S.A survey of cost-sensitive decision tree induction algorithms[J].Acm Computing Surveys,2013,45(2):1-35.DOI:10.1145/2431211.2431215.
[5] 苗夺谦,王珏.基于粗糙集的多变量决策树构造方法[J].软件学报,1997(6):425-431.
[6] LIM T S,LOH W Y,SHIH Y S.A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms[J].Machine Learning,2000,40(3):203-228.DOI:10.1023/A:10076082242 29.
[7] UTGOFF P E,BRODLEY C E.Linear machine decision trees[R].Amherst:University of Massachusetts,1991.
[8] SAHU S K,PUJARI A K,KUMAR V,et al.Greedy partitioning based tree structured multiclass SVM for Odia OCR[C]//Computer Vision, Pattern Recognition, Image Processing and Graphics.Patna:IEEE Press,2016:1-4.DOI:10.1109/NCVPRIPG.2015.7490018.
[9] XUE Song,JING Xiaojun,SUN Songlin,et al.Binary-decision-tree-based multiclass support vector machines[C]//International Symposium on Communications and Information Technologies.Inchon:IEEE Press,2014:85-89.DOI:10.1109/ISCIT.2014.7011875.
[10] MOUSTAKIDIS S,MALLINIS G,KOUTSIAS N,et al.SVM-based fuzzy decision trees for classification of high spatial resolution remote sensing images[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(1):149-169.DOI:10.1109/TGRS.2011.2159726.
[11] RAILEANU L E,STOFFEL K.Theoretical comparison between the Gini index and information gain criteria[J].Annals of Mathematics and Artificial Intelligence,2004,41(1):77-93.
[12] 潘大胜,屈迟文.一种改进ID3型决策树挖掘算法[J].华侨大学学报(自然科学版),2016,37(1):71-77.DOI:10.11830/ISSN.1000-5013.2016.01.0071.
[13] BREIMAN L,FRIEDMAN J H,OLSHEN R,et al.Classification and regression trees[J].Biometrics,1984,40(3):358.DOI:10.2307/2530946.
[14] GRAJSKI K A,BREIMAN L,VIANA D P G,et al.Classification of EEG spatial patterns with a tree-structured methodology: CART[J].IEEE Transactions on Biomedical Engineering,1986,33(12):1076-1086.DOI:10.1109/TBME.1986.325684.
[15] DE’ ATH G,FABRICIUS K E.Classification and regression trees: A powerful yet simple technique for ecological data analysis[J].Ecology,2000,81(11):3178-3192.DOI:10.2307/177409.
[16] QUINLAN J R.C4.5: Programs for machine learning[M].San Francisco:Morgan Kaufmann Publishers Inc,1992.
[17] MINGERS J.An empirical comparison of pruning methods for decision tree induction[J].Machine Learning,1989,4(2):227-243.DOI:10.1023/A:1022604100933.
[18] MINGERS J.An empirical comparison of selection measures for decision-tree induction[J].Machine Learning,1989,3(4):319-342.DOI:10.1007/BF00116837.
[19] KOTSIANTIS S B.Decision trees: A recent overview[J].Artificial Intelligence Review,2013,39(4):261-283.DOI:10.1007/s10462-011-9272-4.
[20] BRODLEY C E,UTGOFF P E.Multivariate decision trees[J].Machine Learning,1995,19(1):45-77.DOI:10.1023/A:1022607123649.