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XGBoost: Scalable GPU Accelerated Learning., , , and . CoRR, (2018)A review of multi-instance learning assumptions., and . Knowledge Eng. Review, 25 (1): 1-25 (2010)Propositionalisation of Multi-instance Data Using Random Forests., and . Australasian Conference on Artificial Intelligence, volume 8272 of Lecture Notes in Computer Science, page 362-373. Springer, (2013)Naive Bayes for Text Classification with Unbalanced Classes., and . PKDD, volume 4213 of Lecture Notes in Computer Science, page 503-510. Springer, (2006)Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets., , and . IJCAI, page 1229-1235. AAAI Press, (2015)Improving on Bagging with Input Smearing., and . PAKDD, volume 3918 of Lecture Notes in Computer Science, page 97-106. Springer, (2006)Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining., , and . Australian Conference on Artificial Intelligence, volume 3339 of Lecture Notes in Computer Science, page 538-549. Springer, (2004)Adaptive XGBoost for Evolving Data Streams., , , , , and . IJCNN, page 1-8. IEEE, (2020)Fast Perceptron Decision Tree Learning from Evolving Data Streams., , , and . PAKDD (2), volume 6119 of Lecture Notes in Computer Science, page 299-310. Springer, (2010)Improving Naive Bayes for Regression with Optimized Artificial Surrogate Data., and . Applied Artificial Intelligence, 34 (6): 484-514 (2020)