Feature Selection for Ensembles of Simple Bayesian Classifiers
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[1] Ted Pedersen,et al. A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation , 2000, ANLP.
[2] Eric Bauer,et al. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants , 1999, Machine Learning.
[3] Tin Kam Ho,et al. The Random Subspace Method for Constructing Decision Forests , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Michael A. Arbib,et al. The handbook of brain theory and neural networks , 1995, A Bradford book.
[5] Lars Kai Hansen,et al. Neural Network Ensembles , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[6] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[7] Pedro M. Domingos,et al. On the Optimality of the Simple Bayesian Classifier under Zero-One Loss , 1997, Machine Learning.
[8] Padraig Cunningham,et al. Diversity versus Quality in Classification Ensembles Based on Feature Selection , 2000, ECML.
[9] Alexey Tsymbal,et al. Local Feature Selection with Dynamic Integration of Classifiers , 2001, Fundam. Informaticae.
[10] Charles Elkan,et al. Boosting and Naive Bayesian learning , 1997 .
[11] David W. Opitz,et al. Feature Selection for Ensembles , 1999, AAAI/IAAI.
[12] Robert P. W. Duin,et al. Bagging and the Random Subspace Method for Redundant Feature Spaces , 2001, Multiple Classifier Systems.
[13] Alexey Tsymbal,et al. Ensemble Feature Selection with Dynamic Integration of Classifiers , 2001 .
[14] Anders Krogh,et al. Neural Network Ensembles, Cross Validation, and Active Learning , 1994, NIPS.
[15] Christopher J. Merz,et al. UCI Repository of Machine Learning Databases , 1996 .
[16] Alexey Tsymbal,et al. A Dynamic Integration Algorithm for an Ensemble of Classifiers , 1999, ISMIS.