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A simple and efficient method for variable ranking according to their usefulness for learning., , и . Comput. Stat. Data Anal., 52 (1): 578-595 (2007)Dynamic ensemble selection for quantification tasks., , , и . Inf. Fusion, (2019)Prediction of Probability of Survival in Critically Ill Patients Optimizing the Area under the ROC Curve., , , , и . IJCAI, стр. 956-961. (2007)Target inductive methods for zero-shot regression., , и . CoRR, (2024)Obtaining weights of a rubric through a pairwise learning model when the assessment process involves more than one lecturer., и . EDM, стр. 289-298. www.educationaldatamining.org, (2009)Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection., , , , , и . ECML, том 3201 из Lecture Notes in Computer Science, стр. 286-297. Springer, (2004)Graphical Feature Selection for Multilabel Classification Tasks., , , и . IDA, том 7014 из Lecture Notes in Computer Science, стр. 246-257. Springer, (2011)An overview of inference methods in probabilistic classifier chains for multilabel classification., , , и . WIREs Data Mining Knowl. Discov., 6 (6): 215-230 (2016)How to learn consumer preferences from the analysis of sensory data by means of support vector machines (SVM), , , , и . Trends in Food Science & Technology, 18 (1): 20 - 28 (2007)Ranked Tag Recommendation Systems Based on Logistic Regression., , , и . HAIS (1), том 6076 из Lecture Notes in Computer Science, стр. 237-244. Springer, (2010)