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Machine Learning, Optimization, and Big Data

Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016. Revised Selected Papers

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Machine Learning, Optimization, and Big Data Panos M. Pardalos
Libristo kod: 15496677
Nakladnici Springer International Publishing AG, prosinac 2016
This book constitutes revised selected papers from the Second International Workshop on Machine Lear... Cijeli opis
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55.93 €
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This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016. The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions. These proceedings contain papers in the fields of Machine Learning, Computational Optimization and DataScience presenting a substantial array of ideas, technologies, algorithms, methods and applications.

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Informacije o knjizi

Puni naziv Machine Learning, Optimization, and Big Data
Autor Panos M. Pardalos, Piero Conca, Giovanni Giuffrida, Giuseppe Nicosia
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2016
Broj stranica 456
EAN 9783319514680
ISBN 3319514687
Libristo kod 15496677
Nakladnici Springer International Publishing AG
Težina 7139
Dimenzije 155 x 235 x 27

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Digital lifestyle > Internet guides & online services > Internet searching
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Databases > Information retrieval
Computing & Information Technology > Computer science > Systems analysis & design
Computing & Information Technology > Information technology: general issues
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