Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets

Juan Luis Olmo, Cristóbal Romero, Eva Gibaja, Sebastián Ventura. Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets. Int. J. Computational Intelligence Systems, 8(6):1144-1164, 2015. [doi]

Authors

Juan Luis Olmo

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Cristóbal Romero

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Eva Gibaja

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Sebastián Ventura

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