E-Book, Englisch, Band 896, 221 Seiten, eBook
Oneto / Navarin / Sperduti Recent Trends in Learning From Data
Erscheinungsjahr 2020
ISBN: 978-3-030-43883-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019)
E-Book, Englisch, Band 896, 221 Seiten, eBook
Reihe: Studies in Computational Intelligence
ISBN: 978-3-030-43883-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
