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A Simple Approach to Ordinal Classification.

, и . ECML, том 2167 из Lecture Notes in Computer Science, стр. 145-156. Springer, (2001)

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Data mining, и . Morgan Kaufmann, San Francisco u.a., (2001)XGBoost: Scalable GPU Accelerated Learning., , , и . CoRR, (2018)A review of multi-instance learning assumptions., и . Knowledge Eng. Review, 25 (1): 1-25 (2010)Naive Bayes for Text Classification with Unbalanced Classes., и . PKDD, том 4213 из Lecture Notes in Computer Science, стр. 503-510. Springer, (2006)Adaptive XGBoost for Evolving Data Streams., , , , , и . IJCNN, стр. 1-8. IEEE, (2020)Sampling Permutations for Shapley Value Estimation., , , и . J. Mach. Learn. Res., (2022)Classifier Chains for Multi-label Classification., , , и . ECML/PKDD (2), том 5782 из Lecture Notes in Computer Science, стр. 254-269. Springer, (2009)Weka-A Machine Learning Workbench for Data Mining., , , , , , и . Data Mining and Knowledge Discovery Handbook, Springer, (2010)Fast Perceptron Decision Tree Learning from Evolving Data Streams., , , и . PAKDD (2), том 6119 из Lecture Notes in Computer Science, стр. 299-310. Springer, (2010)Sentiment Knowledge Discovery in Twitter Streaming Data., и . Discovery Science, том 6332 из Lecture Notes in Computer Science, стр. 1-15. Springer, (2010)