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Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features., и . SAC, стр. 564-568. ACM, (2006)Learning Recursion with Iterative Bootstrap Induction (Extended Abstract)., и . ECML, том 912 из Lecture Notes in Computer Science, стр. 299-302. Springer, (1995)An Iterative Process for Building Learning Curves and Predicting Relative Performance of Classifiers., и . EPIA Workshops, том 4874 из Lecture Notes in Computer Science, стр. 87-98. Springer, (2007)Reducing Rankings of Classifiers by Eliminating Redundant Classifiers., , и . EPIA, том 2258 из Lecture Notes in Computer Science, стр. 14-21. Springer, (2001)Experimental Learning Model.. AISB/GI (ECAI), стр. 46-50. Leeds University, (1978)Improved Dataset Characterisation for Meta-learning., , , и . Discovery Science, том 2534 из Lecture Notes in Computer Science, стр. 141-152. Springer, (2002)Simplifying the Algorithm Selection Using Reduction of Rankings of Classification Algorithms., , , и . ICSCA, стр. 140-148. ACM, (2019)Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods., , и . AutoML@PKDD/ECML, том 1998 из CEUR Workshop Proceedings, стр. 69-83. CEUR-WS.org, (2017)Introduction to the Special Issue on Meta-Learning, , и . Machine Learning, 54 (3): 187--193 (2004)A Method of Processing Unknown Attribute Values by ID3., и . ICCI, стр. 253-256. IEEE Computer Society, (1992)