Using all data to generate decision tree ensembles
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[1] G DietterichThomas. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees , 2000 .
[2] Lars Kai Hansen,et al. Neural Network Ensembles , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Aiko M. Hormann,et al. Programs for Machine Learning. Part I , 1962, Inf. Control..
[4] Eric Bauer,et al. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants , 1999, Machine Learning.
[5] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[6] Robert E. Schapire,et al. Using output codes to boost multiclass learning problems , 1997, ICML.
[7] Thomas G. Dietterich. Machine-Learning Research Four Current Directions , 1997 .
[8] Thomas G. Dietterich. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization , 2000, Machine Learning.
[9] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[10] L. Breiman. Arcing Classifiers , 1998 .
[11] 金田 重郎,et al. C4.5: Programs for Machine Learning (書評) , 1995 .
[12] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[13] Leo Breiman,et al. Randomizing Outputs to Increase Prediction Accuracy , 2000, Machine Learning.
[14] Kagan Tumer,et al. Error Correlation and Error Reduction in Ensemble Classifiers , 1996, Connect. Sci..
[15] Christopher J. Merz,et al. UCI Repository of Machine Learning Databases , 1996 .
[16] L. Breiman. Arcing classifier (with discussion and a rejoinder by the author) , 1998 .
[17] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[18] J. Ross Quinlan,et al. Bagging, Boosting, and C4.5 , 1996, AAAI/IAAI, Vol. 1.
[19] Thomas G. Dietterich. Machine-Learning Research , 1997, AI Mag..
[20] Thomas G. Dietterich,et al. Solving Multiclass Learning Problems via Error-Correcting Output Codes , 1994, J. Artif. Intell. Res..
[21] Robert E. Schapire,et al. A Brief Introduction to Boosting , 1999, IJCAI.
[22] Geoffrey I. Webb,et al. MultiBoosting: A Technique for Combining Boosting and Wagging , 2000, Machine Learning.
[23] Roger Sauter,et al. Introduction to Probability and Statistics for Engineers and Scientists , 2005, Technometrics.
[24] Alberto Suárez,et al. Globally Optimal Fuzzy Decision Trees for Classification and Regression , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[25] Edward J. Delp,et al. An iterative growing and pruning algorithm for classification tree design , 1989, Conference Proceedings., IEEE International Conference on Systems, Man and Cybernetics.
[26] David J. Spiegelhalter,et al. Machine Learning, Neural and Statistical Classification , 2009 .
[27] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[28] Yoav Freund,et al. Boosting the margin: A new explanation for the effectiveness of voting methods , 1997, ICML.