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Recent Trends in Learning From Data Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019)

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 04/2020
Edizione: 1st ed. 2020





Trama

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. 




Sommario

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.










Altre Informazioni

ISBN:

9783030438821

Condizione: Nuovo
Collana: Studies in Computational Intelligence
Dimensioni: 235 x 155 mm Ø 518 gr
Formato: Copertina rigida
Illustration Notes:VII, 221 p. 81 illus., 55 illus. in color.
Pagine Arabe: 221
Pagine Romane: vii


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