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Using Support Vector Machines to Predict the Performance of MLP Neural Networks.

, , and . SBRN, page 201-206. IEEE Computer Society, (2008)

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Selective generation of training examples in active meta-learning., and . Int. J. Hybrid Intell. Syst., 5 (2): 59-70 (2008)Feature and algorithm selection with Hybrid Intelligent Techniques., , and . Int. J. Hybrid Intell. Syst., 8 (3): 115-116 (2011)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)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)Local Feature Selection in Text Clustering., , and . ICONIP (2), volume 5507 of Lecture Notes in Computer Science, page 45-52. Springer, (2008)A Constrained Particle Swarm Optimization Approach for Test Case Selection., , and . SEKE, page 259-264. Knowledge Systems Institute Graduate School, (2010)Active Selection of Training Examples for Meta-Learning., and . HIS, page 126-131. IEEE Computer Society, (2007)Randomized constraint solvers: a comparative study., , , , , and . Innov. Syst. Softw. Eng., 6 (3): 243-253 (2010)