Machine Learning, Optimization, and Data Science

Machine Learning, Optimization, and Data Science
Author: Giuseppe Nicosia
Publisher: Springer Nature
Total Pages: 605
Release: 2023-03-09
Genre: Computers
ISBN: 3031258916


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This two-volume set, LNCS 13810 and 13811, constitutes the refereed proceedings of the 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, together with the papers of the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022. The total of 84 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 226 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.


Optimization for Machine Learning
Language: en
Pages: 509
Authors: Suvrit Sra
Categories: Computers
Type: BOOK - Published: 2012 - Publisher: MIT Press

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An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay betw
Optimization for Data Analysis
Language: en
Pages: 239
Authors: Stephen J. Wright
Categories: Computers
Type: BOOK - Published: 2022-04-21 - Publisher: Cambridge University Press

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A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.
Machine Learning, Optimization, and Data Science
Language: en
Pages: 605
Authors: Giuseppe Nicosia
Categories: Computers
Type: BOOK - Published: 2023-03-09 - Publisher: Springer Nature

GET EBOOK

This two-volume set, LNCS 13810 and 13811, constitutes the refereed proceedings of the 8th International Conference on Machine Learning, Optimization, and Data
Machine Learning, Optimization, and Data Science
Language: en
Pages: 667
Authors: Giuseppe Nicosia
Categories: Computers
Type: BOOK - Published: 2022-02-01 - Publisher: Springer Nature

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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 Scie
Machine Learning, Optimization, and Data Science
Language: en
Pages: 701
Authors: Giuseppe Nicosia
Categories: Computers
Type: BOOK - Published: 2021-01-06 - Publisher: Springer Nature

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This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data