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Combining Uncertainty Sampling Methods for Active Meta-Learning.

, and . ISDA, page 220-225. IEEE Computer Society, (2009)

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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)Obtaining Simplified Rule Bases by Hybrid Learning., and . ICML, page 879-886. Morgan Kaufmann, (2000)Semantic mapping and K-means applied to hybrid SOM-based document organization system construction., and . SAC, page 1112-1116. ACM, (2008)Active selection of training instances for a random forest meta-learner., , , and . IJCNN, page 1-7. IEEE, (2013)River Flow Forecasting with Constructive Neural Network., , and . Australian Conference on Artificial Intelligence, volume 3809 of Lecture Notes in Computer Science, page 1031-1036. Springer, (2005)Active Generation of Training Examples in Meta-Regression., and . ICANN (1), volume 5768 of Lecture Notes in Computer Science, page 30-39. Springer, (2009)SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation., , , , , and . IJCNN, page 1-6. IEEE, (2018)Frankenstein PSO applied to neural network weights and architectures., and . IEEE Congress on Evolutionary Computation, page 2452-2456. IEEE, (2011)Hybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering., and . IJCNN, page 1-7. IEEE, (2019)EFuNNs Ensembles Construction Using a Clustering Method and a Coevolutionary Genetic Algorithm., and . IEEE Congress on Evolutionary Computation, page 1399-1406. IEEE, (2006)