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Machine Learning, Optimization, and Big Data

First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Machine Learning, Optimization, and Big Data Panos Pardalos
Koda Libristo: 02848231
Založba Springer International Publishing AG, januar 2016
This book§constitutes revised selected papers from the First International Workshop on§Machine Learn... Celoten opis
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This book§constitutes revised selected papers from the First International Workshop on§Machine Learning, Optimization, and Big Data, MOD 2015, held in Taormina, Sicily,§Italy, in July 2015.§The 32§papers presented in this volume were carefully reviewed and selected from 73§submissions. They deal with the algorithms, methods and theories relevant in§data science, optimization and machine learning.§

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O knjigi

Polni naslov Machine Learning, Optimization, and Big Data
Avtor Panos Pardalos, Mario Pavone, Giovanni Maria Farinella, Vincenzo Cutello
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2016
Število strani 372
EAN 9783319279251
ISBN 3319279254
Koda Libristo 02848231
Založba Springer International Publishing AG
Teža 5854
Mere 155 x 235 x 22

Kategorije

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 > Machine learning
Computing & Information Technology > Computer science > Human–computer interaction > User interface design & usability
Mathematics & Science > Mathematics > Optimization
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases > Data warehousing
Computing & Information Technology > Databases > Information retrieval
Computing & Information Technology > Information technology: general issues
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