Work place: LIMS Laboratory, Faculty of sciences, USMBA Fez, Morocco
E-mail: Yassin.akhiat@gmail.com
Website:
Research Interests: Computer systems and computational processes, Computational Learning Theory, Data Structures and Algorithms
Biography
Yassine AKHIAT was born in Nador, MOROCCO in 1992. He received his master degree in Information system, Network and Multimedia “SIRM” from the Faculty of sciences, USMBA Fez in 2015.
He is currently a PhD Student In “Laboratory of Informatics, Modeling and Systems (LIMS)” Of FSDM.His main research is about feature selection, Feature extraction, Machine-learning and Deep learning.
By Yassine AKHIAT Mohamed CHAHHOU Ahmed ZINEDINE
DOI: https://doi.org/10.5815/ijisa.2019.01.03, Pub. Date: 8 Jan. 2019
In this paper, we propose a new feature selection algorithm based on ensemble selection. In order to generate the library of models, each model is trained using just one feature. This means each model in the library represents a feature. Ensemble construction returns a well performing subset of features associated to the well performing subset of models. Our proposed approaches are evaluated using eight benchmark datasets. The results show the effectiveness of our ensemble selection approaches.
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