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Model Selection for Time Series Forecasting An Empirical Analysis of Multiple Estimators.

, , and . Neural Process. Lett., 55 (7): 10073-10091 (December 2023)

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A comprehensive comparison of ML algorithms for gene expression data classification., , and . IJCNN, page 1-8. IEEE, (2010)Combining regression models and metaheuristics to optimize space allocation in the retail industry., , and . Intell. Data Anal., 19 (s1): S149-S162 (2015)MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data., , , and . Neurocomputing, (2014)Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining., , and . EPIA, volume 3808 of Lecture Notes in Computer Science, page 371-382. Springer, (2005)A Comparison of Ranking Methods for Classification Algorithm Selection., and . ECML, volume 1810 of Lecture Notes in Computer Science, page 63-74. Springer, (2000)An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection., , , and . ICCSA (3), volume 7335 of Lecture Notes in Computer Science, page 562-575. Springer, (2012)Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles., , , , and . ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 620-636. Springer, (2018)A label ranking approach for selecting rankings of collaborative filtering algorithms., , and . SAC, page 1393-1395. ACM, (2018)AToMRS: A Tool to Monitor Recommender Systems., , and . KDIR, page 133-140. SciTePress, (2016)Distance-Based Decision Tree Algorithms for Label Ranking., , , and . EPIA, volume 9273 of Lecture Notes in Computer Science, page 525-534. Springer, (2015)