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A Time Efficient Approach for Distributed Feature Selection Partitioning by Features by Puerta, José M.; Gámez, José A.; Dorronsoro, Bernabe; Barrenechea, Edurne; Troncoso, Alicia; Baruque, Bruno; Galar, Mikel is a scholarly article available to read on EtoBox.

What is A Time Efficient Approach for Distributed Feature Selection Partitioning by Features about?

This book constitutes the refereed proceedings of the 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015, held in Albacete, Spain, in November 2015. The 31 revised full papers presented were carefully selected from 175 submissions. The papers are organized in topical sections on Bayesian networks and uncertainty modeling; fuzzy logic and soft computing; knowledge representation, reasoning, and logic; intelligent systems and environment; intelligent Web and recommender systems; machine learning and data mining; metaheuristics and evolutionary computation; and social robotics.

Author

Puerta, José M.; Gámez, José A.; Dorronsoro, Bernabe; Barrenechea, Edurne; Troncoso, Alicia; Baruque, Bruno; Galar, Mikel

Publisher

Springer International Publishing : Imprint : Springer

Published

2015

Language

EN

ISBN

9783319245980