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Bridging the Lexical Chasm: Statistical Approaches to Answer-Finding, , , , , and . In Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, (2000)Benefitting from the Variables that Variable Selection Discards., and . J. Mach. Learn. Res., (2003)Introduction to the Special Issue ACM SIGKDD 2012., , , and . ACM Trans. Knowl. Discov. Data, 7 (3): 9:1-9:2 (2013)Obtaining Calibrated Probabilities from Boosting, and . CoRR, (2012)On Dropout, Overfitting, and Interaction Effects in Deep Neural Networks., , and . CoRR, (2020)Data Science with LLMs and Interpretable Models., , , and . CoRR, (2024)The automatic training of rule bases that use numerical uncertainty representations.. Int. J. Approx. Reason., 2 (3): 330-331 (1988)Biases in the Crossover Landscape., , and . ICGA, page 10-19. Morgan Kaufmann, (1989)Improving Classification with Pairwise Constraints: A Margin-Based Approach., and . ECML/PKDD (2), volume 5212 of Lecture Notes in Computer Science, page 113-124. Springer, (2008)On Feature Selection, Bias-Variance, and Bagging., and . ECML/PKDD (2), volume 5782 of Lecture Notes in Computer Science, page 144-159. Springer, (2009)