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Selection of Models for Time Series Prediction via Meta-Learning.

, and . HIS, volume 87 of Frontiers in Artificial Intelligence and Applications, page 74-83. IOS Press, (2002)

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Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning., , and . ICANN (2), volume 6792 of Lecture Notes in Computer Science, page 454-461. Springer, (2011)Ensemble Methods for Label Noise Detection Under the Noisy at Random Model., , and . BRACIS, page 474-479. IEEE Computer Society, (2018)Automatic Information Extraction in Semi-structured Official Journals., , , , , and . SBRN, page 51-56. IEEE Computer Society, (2008)Active Selection of Training Examples for Meta-Learning., and . HIS, page 126-131. IEEE Computer Society, (2007)A Constrained Particle Swarm Optimization Approach for Test Case Selection., , and . SEKE, page 259-264. Knowledge Systems Institute Graduate School, (2010)Local Feature Selection in Text Clustering., , and . ICONIP (2), volume 5507 of Lecture Notes in Computer Science, page 45-52. Springer, (2008)Active Learning to Support the Generation of Meta-examples., and . ICANN (1), volume 4668 of Lecture Notes in Computer Science, page 817-826. Springer, (2007)A Comparative Study of Randomized Constraint Solvers for Random-Symbolic Testing., , , , , and . NASA Formal Methods, volume NASA/CP-2009-215407 of NASA Conference Proceedings, page 56-65. (2009)Using Machine Learning Techniques to Combine Forecasting Methods., and . Australian Conference on Artificial Intelligence, volume 3339 of Lecture Notes in Computer Science, page 1122-1127. Springer, (2004)Combining Uncertainty Sampling Methods for Active Meta-Learning., and . ISDA, page 220-225. IEEE Computer Society, (2009)