Machine Learning, Optimization, and Data Science 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers
tarafından
 
Nicosia, Giuseppe. editor.

Başlık
Machine Learning, Optimization, and Data Science 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers

Yazar
Nicosia, Giuseppe. editor.

ISBN
9783030137090

Edisyon
1st ed. 2019.

Fiziksel Niteleme
XXII, 562 p. 224 illus., 115 illus. in color. online resource.

Seri
Information Systems and Applications, incl. Internet/Web, and HCI ; 11331

İçindekiler
Machine learning -- Artificial intelligence -- Reinforcement learning -- Computational optimization -- Data science presenting -- Deep learning -- Big data -- Data analytics -- Neural networks.

Özet
This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018. The 46 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.

Konu Başlığı
Application software.
 
Machine learning.
 
Algorithms.
 
Data mining.
 
Information Systems Applications (incl. Internet). https://scigraph.springernature.com/ontologies/product-market-codes/I18040
 
Machine Learning. https://scigraph.springernature.com/ontologies/product-market-codes/I21010
 
Algorithm Analysis and Problem Complexity. https://scigraph.springernature.com/ontologies/product-market-codes/I16021
 
Data Mining and Knowledge Discovery. https://scigraph.springernature.com/ontologies/product-market-codes/I18030

Yazar Ek Girişi
Nicosia, Giuseppe.
 
Pardalos, Panos.
 
Giuffrida, Giovanni.
 
Umeton, Renato.
 
Sciacca, Vincenzo.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-030-13709-0


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book427744-1001QA76.76 .A65Springer E-Book Collection