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Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting.

, , and . IEEE Congress on Evolutionary Computation, page 941-948. IEEE, (2011)

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On the Optimality of Subsets of Features Selected by Heuristic and Hyper-heuristic Approaches., and . PAKDD Workshops, volume 7867 of Lecture Notes in Computer Science, page 440-451. Springer, (2013)Feature Bundles and their Effect on the Performance of Tree-based Evolutionary Classification and Feature Selection Algorithms., and . CEC, page 1612-1619. IEEE, (2019)Genetic programming for performance improvement and dimensionality reduction of classification problems., and . IEEE Congress on Evolutionary Computation, page 2811-2818. IEEE, (2008)Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting., , and . IEEE Congress on Evolutionary Computation, page 941-948. IEEE, (2011)Scalability analysis of genetic programming classifiers., , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)The Effect of Reactant and Product Selection Strategies on Cycle Evolution in an Artificial Chemistry., and . ACALCI, volume 8955 of Lecture Notes in Computer Science, page 310-322. Springer, (2015)Binary Classification Using Genetic Programming: Evolving Discriminant Functions with Dynamic Thresholds., and . PAKDD Workshops, volume 7867 of Lecture Notes in Computer Science, page 464-474. Springer, (2013)Evaluation of Parsons Problems with Menu-Based Self-Explanation Prompts in a Mobile Python Tutor, , and . International Journal of Artificial Intelligence in Education, 29 (4): 507--535 (Dec 1, 2019)Investigating the Effectiveness of Menu-Based Self-explanation Prompts in a Mobile Python Tutor., , and . AIED, volume 10331 of Lecture Notes in Computer Science, page 498-501. Springer, (2017)Kernel Construction and Feature Subset Selection in Support Vector Machines., and . SEAL, volume 10593 of Lecture Notes in Computer Science, page 605-616. Springer, (2017)