Heterogenous committees with competence analysis
暂无分享,去创建一个
[1] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[2] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[3] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[4] Christopher J. Merz,et al. UCI Repository of Machine Learning Databases , 1996 .
[5] Richard Maclin,et al. Boosting Classifiers Regionally , 1998, AAAI/IAAI.
[6] Włodzisław Duch,et al. Competent Undemocratic Committees , 2003 .
[7] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[8] Yoav Freund,et al. Boosting the margin: A new explanation for the effectiveness of voting methods , 1997, ICML.
[9] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[10] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[11] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[12] D. Ruppert. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .
[13] Alberto Maria Segre,et al. Programs for Machine Learning , 1994 .
[14] L. Breiman. Bias-variance, regularization, instability and stabilization , 1998 .
[15] Norbert Jankowski,et al. Mining for Complex Models Comprising Feature Selection and Classification , 2006, Feature Extraction.
[16] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[17] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[18] David G. Stork,et al. Pattern Classification , 1973 .
[19] Geoffrey E. Hinton,et al. Adaptive Mixtures of Local Experts , 1991, Neural Computation.
[20] Bernard Zenko,et al. A comparison of stacking with meta decision trees to bagging, boosting, and stacking with other methods , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[21] Johannes Fürnkranz,et al. An Evaluation of Grading Classifiers , 2001, IDA.
[22] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[23] Ian H. Witten,et al. Stacking Bagged and Dagged Models , 1997, ICML.
[24] Wodzisaw Duch,et al. THE SEPARABILITY OF SPLIT VALUE CRITERION , 2000 .
[25] Ian H. Witten,et al. Stacked generalization: when does it work? , 1997, IJCAI 1997.
[26] Leo Breiman,et al. Stacked regressions , 2004, Machine Learning.
[27] S. Sathiya Keerthi,et al. Improvements to Platt's SMO Algorithm for SVM Classifier Design , 2001, Neural Computation.
[28] K. Gr,et al. A general purpose separability criterion for classification systems , 1999 .
[29] Ludmila I. Kuncheva,et al. Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy , 2003, Machine Learning.