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Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I (Paperback, 1st ed. 2022) Loot Price: R2,527
Discovery Miles 25 270
Repayment Terms: R237 pm x 12*
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Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021,...

Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I (Paperback, 1st ed. 2022)

Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton

Series: Lecture Notes in Computer Science, 13163

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Loot Price R2,527 Discovery Miles 25 270 | Repayment Terms: R237 pm x 12*

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This two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with the first edition of the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021.The total of 86 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 215 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 13163
Release date: February 2022
First published: 2022
Editors: Giuseppe Nicosia • Varun Ojha • Emanuele La Malfa • Gabriele La Malfa • Giorgio Jansen • Panos M. Pardalos • Giovanni Giuffrida • Renato Umeton
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 644
Edition: 1st ed. 2022
ISBN-13: 978-3-03-095466-6
Categories: Books > Computing & IT > General theory of computing > General
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LSN: 3-03-095466-8
Barcode: 9783030954666

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