Machine Learning, Optimization, and Big Data

Beschreibung

This book constitutes the post-conference proceedings of the Third International Workshop on Machine Learning, Optimization, and Big Data, MOD 2017, held in Volterra, Italy, in September 2017.
The 50 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.

Autor*in

Giuseppe Nicosia

Themen in »Machine Learning, Optimization, and Big Data«

artificial intelligence classification cluster analysis computer architecture data mining differential evolution evolutionary algorithms genetic algorithms graph theory heuristic methods learning algorithms linear programming machine learning multiobjective optimization neural networks

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