Learning by abstraction: Hierarchical classification model using evidential theoretic approach and Bayesian ensemble model

References

Page 1

	Year	Citations
Pattern Recognition and Machine Learning Journal of Electronic Imaging Artificial IntelligenceEngineeringMachine LearningMicroscopyAdvanced Imaging	2007	22K
Bagging Predictors Leo Breiman Machine Learning	1996	16.6K
Bagging predictors Leo Breiman Machine Learning	1996	16.2K
Pattern Recognition and Machine Learning Kybernetes Artificial IntelligenceEngineeringMachine LearningData MiningPattern Recognition	2007	8.4K
SCOP: A structural classification of proteins database for the investigation of sequences and structures Alexey G. Murzin, Steven E. Brenner, Tim Hubbard, Journal of Molecular Biology Structural ClassificationStructural BioinformaticsProteins DatabaseProtein FoldingMedicine	1995	6.3K
Combining Pattern Classifiers: Methods and Algorithms Subhash Bagui Technometrics Data ClassificationClassification MethodEngineeringMachine LearningData Science	2005	3.2K
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants Eric Bauer, Ron Kohavi Machine Learning	1999	2.6K
Constrained K-means Clustering with Background Knowledge Kiri L. Wagstaff, Claire Cardie, Seth Rogers,	2001	2.4K
Methods of combining multiple classifiers and their applications to handwriting recognition Longchang Xu, Adam Krzyżak, Ching Y. Suen IEEE Transactions on Systems Man and Cybernetics EngineeringMachine LearningBiometricsUs Zipcode DatabaseClassification Method	1992	2.2K
Transforming classifier scores into accurate multiclass probability estimates Bianca Zadrozny, Charles Elkan EngineeringMachine LearningBinary Probability EstimatesClassifier ScoresText Mining	2002	1K

Page 1