Semi-supervised learning:

A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at state-of-the-art algorithms, applications benchmark experiments, and directions for future research.

Gespeichert in:
Bibliographische Detailangaben
Weitere beteiligte Personen: Chapelle, Olivier, Schölkopf, Bernhard, Zien, Alexander
Format: E-Book
Sprache:Englisch
Veröffentlicht: Cambridge, Mass. MIT Press ©2006
Schriftenreihe:Adaptive computation and machine learning
Links:https://doi.org/10.7551/mitpress/9780262033589.001.0001?locatt=mode:legacy
Zusammenfassung:A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at state-of-the-art algorithms, applications benchmark experiments, and directions for future research.
Umfang:1 Online-Ressource (x, 508 Seiten) Illustrationen
ISBN:0262255898
1282096184
1429414081
9780262255899
9781282096189
9781429414081