Machine Learning and Knowledge Discovery in Databases [electronic resource] : European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II / edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet.
Contributor(s): Brefeld, Ulf [editor.]
| Fromont, Elisa [editor.] | Hotho, Andreas [editor.] | Knobbe, Arno [editor.] | Maathuis, Marloes [editor.] | Robardet, Céline [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Lecture Notes in Artificial Intelligence: 11907Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XXVI, 732 p. 314 illus., 191 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030461478.Subject(s): Artificial intelligence | Application software | Computers | Database management | Computer engineering | Computer networks | Artificial Intelligence | Computer and Information Systems Applications | Computing Milieux | Database Management System | Computer Engineering and NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
In:
Springer Nature eBookSummary: Chapter "Incorporating Dependencies in Spectral Kernels for Gaussian Processes" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Supervised Learning -- Multi-Label Learning -- Large-Scale Learning -- Deep Learning -- Probabilistic Models -- Natural Language Processing.
No physical items for this record
Supervised Learning -- Multi-Label Learning -- Large-Scale Learning -- Deep Learning -- Probabilistic Models -- Natural Language Processing.
Chapter "Incorporating Dependencies in Spectral Kernels for Gaussian Processes" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
There are no comments for this item.