Learning from Uncertain Data Using Possibilistic Artificial Immune Recognition Systems - researchr publication authors

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Rim Hentech, Ilyes Jenhani, Zied Elouedi. Learning from Uncertain Data Using Possibilistic Artificial Immune Recognition Systems. In Adrian Horia Dediu, Carlos Martín-Vide, Bianca Truthe, Miguel A. Vega-Rodríguez, editors, Theory and Practice of Natural Computing - Second International Conference, TPNC 2013, Cáceres, Spain, December 3-5, 2013, Proceedings. Volume 8273 of Lecture Notes in Computer Science, pages 80-95, Springer, 2013. [doi]

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