Abstract
This chapter studies the evolutionary learning method for selective ensemble learning problem, which needs to select some component learners out of all learners. We show that a Pareto optimization algorithm, POSE, solves the learning problem better than previous ordering-based selective ensemble methods as well as the heuristic single-objective optimization-based methods, supported by theoretical analysis and experiment results.
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© 2019 Springer Nature Singapore Pte Ltd.
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Zhou, ZH., Yu, Y., Qian, C. (2019). Selective Ensemble. In: Evolutionary Learning: Advances in Theories and Algorithms. Springer, Singapore. https://doi.org/10.1007/978-981-13-5956-9_13
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DOI: https://doi.org/10.1007/978-981-13-5956-9_13
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-13-5956-9
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