Genetic-Based Synthetic Data Sets for the Analysis of Classifiers Behavior
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx5/4626579/4626580/04626680.pdf?arnumber=4626680
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A genetically-optimised artificial life algorithm for complexity-based synthetic dataset generation;Information Sciences;2023-01
2. A Many-Objective Optimization Approach to Generate Synthetic Datasets based on Real-World Classification Problems;2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI);2022-11-23
3. Active learning and data manipulation techniques for generating training examples in meta-learning;Neurocomputing;2016-06
4. Adaptive artificial datasets through learning classifier systems for classification tasks;Evolutionary Intelligence;2013-10-22
5. Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection;Lecture Notes in Computer Science;2011
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