Ensemble Selection using Simulated Annealing Walking

HEDIEH, SAJEDI, and ZAHRA, SADAT TAGHAVI (2014) Ensemble Selection using Simulated Annealing Walking. In: International Conference on Advances In Computing, Electronics and Electrical Technology CEET 2014, 02 - 03 August, 2014, Kuala Lumpur, Malaysia.

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Pruning an ensemble of classifiers is one of the most significant and effective issues in ensemble method topic. This paper presents a new ensemble pruning method inspired by upward stochastic walking idea. Our proposed method incorporates simulated annealing algorithm and forward selection method for selecting models through the ensemble according to the probabilistic steps. Experimental comparisons of the proposed method versus similar ensemble pruning methods on a heterogeneous ensemble of classifiers demonstrate that it leads to better predictive performance and small-sized pruned ensemble. One of the reasons of these promising results is more time which our method spends for finding the best models of ensemble compared with rivals.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: —ensemble method, simulated annealing algorithm, forward selection method.
Depositing User: Mr. John Steve
Date Deposited: 27 May 2019 12:13
Last Modified: 27 May 2019 12:13
URI: http://publications.theired.org/id/eprint/2810

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