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Combining Diversity and Classification Accuracy for Ensemble Selection in Random Subspaces.

, , and . IJCNN, page 2144-2151. IEEE, (2006)

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Evolving ensemble of classifiers in random subspace., , and . GECCO, page 1473-1480. ACM, (2006)A dominance-based stepwise approach for sensor placement optimization., , , and . Appl. Soft Comput., (2015)Leave-One-Out-Training and Leave-One-Out-Testing Hidden Markov Models for a Handwritten Numeral Recognizer: The Implications of a Single Classifier and Multiple Classifications., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 31 (12): 2168-2178 (2009)The implication of data diversity for a classifier-free ensemble selection in random subspaces., , , and . ICPR, page 1-5. IEEE Computer Society, (2008)A novel measure for data stream anomaly detection in a bio-surveillance system., , and . FUSION, page 1-7. IEEE, (2011)K-Nearest Oracle for Dynamic Ensemble Selection., , and . ICDAR, page 422-426. IEEE Computer Society, (2007)Evaluation of Different Strategies to Optimize an HMM-Based Character Recognition System., , , , , and . ICDAR, page 666-670. IEEE Computer Society, (2009)Topography-Aware Sensor Deployment Optimization with CMA-ES., , , and . PPSN (2), volume 6239 of Lecture Notes in Computer Science, page 141-150. Springer, (2010)Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination., , and . MCS, volume 4472 of Lecture Notes in Computer Science, page 302-311. Springer, (2007)Combining Diversity and Classification Accuracy for Ensemble Selection in Random Subspaces., , and . IJCNN, page 2144-2151. IEEE, (2006)