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Are Random Forests Better than Support Vector Machines for Microarray-Based Cancer Classification?

, and . AMIA, AMIA, (2007)

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Time Series Analysis with the Causality Workbench., , and . NIPS Mini-Symposium on Causality in Time Series, volume 12 of JMLR Proceedings, page 115-139. JMLR.org, (2011)Bayesian Algorithms for Causal Data Mining., , and . NIPS Causality: Objectives and Assessment, volume 6 of JMLR Proceedings, page 121-136. JMLR.org, (2010)Multicriteria Engineering Optimization Problems: Statement, Solution and Applications., , and . J. Optim. Theory Appl., 155 (2): 355-375 (2012)Computational Methods for Unraveling Temporal Brain Connectivity Data., , and . AMIA, AMIA, (2015)HITON: A Novel Markov Blanket Algorithm for Optimal Variable Selection., , and . AMIA, AMIA, (2003)A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis., , , , and . Bioinform., 21 (5): 631-643 (2005)TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries., and . NIPS Causality: Objectives and Assessment, volume 6 of JMLR Proceedings, page 249-256. JMLR.org, (2010)Design and Analysis of the Causation and Prediction Challenge., , , , , , and . WCCI Causation and Prediction Challenge, volume 3 of JMLR Proceedings, page 1-33. JMLR.org, (2008)Development Projects for the CausalityWorkbench., , and . AAAI Spring Symposium: Artificial Intelligence for Development, AAAI, (2010)Methods for Multi-Category Cancer Diagnosis from Gene Expression Data: A Comprehensive Evaluation to Inform Decision Support System Development., , and . MedInfo, volume 107 of Studies in Health Technology and Informatics, page 813-817. IOS Press, (2004)