Item Response Theory Based Ensemble in Machine Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11633-020-1239-y.pdf
Reference45 articles.
1. Z. H. Zhou. Ensemble learning. Encyclopedia of Biometrics, S. Z. Li, Ed., Berlin, Germany: Springer, pp. 411–416, 2009.
2. L. Lam, S. Y. Suen. Application of majority voting to pattern recognition: an analysis of its behavior and performance. IEEE Transactions on Systems, Man, and Cybernetics — Part A: Systems and Humans, vol. 27, no. 5, pp. 553–568, 1997. DOI: https://doi.org/10.1109/3468.618255.
3. A. F. R. Rahman, H. Alam, M. C. Fairhurst. Multiple classifier combination for character recognition: revisiting the majority voting system and its variations. In Proceedings of the 5th International Workshop on Document Analysis Systems, pp. 167–178, Springer, Princeton, USA, 2002.
4. H. Kim, H. Kim, H. Moon, H. Ahn. A weight-adjusted voting algorithm for ensembles of classifiers. Journal of the Korean Statistical Society, vol. 40, no. 4, pp. 437–449, 2011. DOI: https://doi.org/10.1016/j.jkss.2011.03.002.
5. S. E. Embretson, S. P. Reise. Item Response Theory, New York, USA: Psychology Press, 2013.
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