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Simplifying the Algorithm Selection Using Reduction of Rankings of Classification Algorithms.

, , , и . ICSCA, стр. 140-148. ACM, (2019)

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Empirical Investigation of UML Models Matching through Different Weight Calibration., , и . ICSCA, стр. 167-172. 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)Simplifying the Algorithm Selection Using Reduction of Rankings of Classification Algorithms., , , и . ICSCA, стр. 140-148. ACM, (2019)Improving Algorithm Selection Methods using Meta-Learning by Considering Accuracy and Run Time. University of Porto, Portugal, (2017)Measures for Combining Accuracy and Time for Meta-learning., и . MetaSel@ECAI, том 1201 из CEUR Workshop Proceedings, стр. 49-50. CEUR-WS.org, (2014)Effect of Incomplete Meta-dataset on Average Ranking Method., и . AutoML@ICML, том 64 из JMLR Workshop and Conference Proceedings, стр. 1-10. JMLR.org, (2016)