Recent trends in learning from data : tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /: tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019). (2020)

• Record Type: Book
• Other Titles: INNSBDDL 2019
• Further Information: Note: Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita, editors.
• Editors: Oneto, Luca; Navarin, Nicolò; Sperduti, A (Alessandro); Anguita, Davide
• Other Names: INNS Big Data and Deep Learning Conference
• Contents: 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.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2020
• Extent: 1 online resource (vii, 221 pages), illustrations (some color)
• Subjects: 005.7; Big data -- Congresses; Machine learning -- Congresses; Big data; Machine learning; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783030438838
• Related ISBNs: 303043883X; 9783030438821
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed April 15, 2020).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.