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Algorithmic randomness based feature selection for traditional Chinese chronic gastritis diagnosis.

, , , , , and . Neurocomputing, (2014)

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Local Clustering Conformal Predictor for Imbalanced Data Classification., , , and . AIAI, volume 412 of IFIP Advances in Information and Communication Technology, page 421-431. Springer, (2013)Using random forest for reliable classification and cost-sensitive learning for medical diagnosis., , , , and . BMC Bioinform., (2009)Hedged predictions for traditional Chinese chronic gastritis diagnosis with confidence machine., , , and . Comput. Biol. Medicine, 39 (5): 425-432 (2009)Fast neighbor search by using revised k-d tree., , , , , , , and . Inf. Sci., (2019)CP-RAkEL: Improving Random k-labelsets with Conformal Prediction for Multi-label Classification., , , , and . COPA, volume 60 of Proceedings of Machine Learning Research, page 266-279. PMLR, (2017)A Comparison of Three Implementations of Multi-Label Conformal Prediction., , , and . SLDS, volume 9047 of Lecture Notes in Computer Science, page 241-250. Springer, (2015)Distance Metric Learning-Based Conformal Predictor., , , and . AIAI (2), volume 382 of IFIP Advances in Information and Communication Technology, page 254-259. Springer, (2012)An experimental study of the intrinsic stability of random forest variable importance measures., , and . BMC Bioinform., (2016)Algorithmic randomness based feature selection for traditional Chinese chronic gastritis diagnosis., , , , , and . Neurocomputing, (2014)Hierarchical block-based incomplete human mocap data recovery using adaptive nonnegative matrix factorization., , , and . Comput. Graph., (2015)