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Recent Trends in Learning From Data ...
~
Anguita, Davide.
Recent Trends in Learning From Data = Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Recent Trends in Learning From Data/ edited by Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita.
Reminder of title:
Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /
other author:
Oneto, Luca.
Description:
VII, 221 p. 81 illus., 55 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-030-43883-8
ISBN:
9783030438838
Recent Trends in Learning From Data = Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /
Recent Trends in Learning From Data
Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /[electronic resource] :edited by Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita. - 1st ed. 2020. - VII, 221 p. 81 illus., 55 illus. in color.online resource. - Studies in Computational Intelligence,8961860-949X ;. - Studies in Computational Intelligence,564.
Introduction: Recent Trends in Learning From Data -- Learned data structures -- Deep Randomized Neural Networks -- Tensor Decompositions and Practical Applications -- Deep learning for graphs -- Limitations of Shallow Networks -- Fairness in Machine Learning -- Online Continual Learning on Sequences.
This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe important theoretical concepts, presenting in detail all the necessary mathematical formalizations, and offer essential guidance on their use in current big data research.
ISBN: 9783030438838
Standard No.: 10.1007/978-3-030-43883-8doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Recent Trends in Learning From Data = Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /
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