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Learning Markov Blankets for Continuous or Discrete Networks via Feature Selection., , , and . Ensembles in Machine Learning Applications, volume 373 of Studies in Computational Intelligence, Springer, (2011)Bias of Importance Measures for Multi-valued Attributes and Solutions., , and . ICANN (2), volume 6792 of Lecture Notes in Computer Science, page 293-300. Springer, (2011)Ensembles of Regularized Least Squares Classifiers for High-Dimensional Problems., and . Feature Extraction, volume 207 of Studies in Fuzziness and Soft Computing, Springer, (2006)Scoring Levels of Categorical Variables with Heterogeneous Data., and . IEEE Intelligent Systems, 19 (2): 14-19 (2004)Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination., , , and . J. Mach. Learn. Res., (2009)A Bag-of-Features Framework to Classify Time Series., , and . IEEE Trans. Pattern Anal. Mach. Intell., 35 (11): 2796-2802 (2013)Change-point detection with supervised learning and feature selection., , , and . ICINCO-ICSO, page 359-363. INSTICC Press, (2007)978-972-8865-82-5.A Time Series Forest for Classification and Feature Extraction, , , and . CoRR, (2013)Contributor Diagnostics for Anomaly Detection., , and . ICANN (2), volume 5769 of Lecture Notes in Computer Science, page 944-953. Springer, (2009)Active Batch Learning with Tree Ensembles., , and . Active Learning and Experimental Design @ AISTATS, volume 16 of JMLR Proceedings, page 59-69. JMLR.org, (2011)