Multiview Machine Learning

This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learni...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Sun, Shiliang (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Mao, Liang (http://id.loc.gov/vocabulary/relators/aut), Dong, Ziang (http://id.loc.gov/vocabulary/relators/aut), Wu, Lidan (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Chapter 1. Introduction
  • Chapter 2. Multiview Semi-supervised Learning
  • Chapter 3. Multiview Subspace Learning
  • Chapter 4. Multiview Supervised Learning
  • Chapter 5. Multiview Clustering
  • Chapter 6. Multiview Active Learning
  • Chapter 7. Multiview Transfer Learning and Multitask Learning
  • Chapter 8. Multiview Deep Learning
  • Chapter 9. View Construction.