Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy - Vluymans - Bøker - Springer Nature Switzerland AG - 9783030046620 - 5. desember 2018
Ved uoverensstemmelse mellom cover og tittel gjelder tittel

Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy 1st ed. 2019 edition

Vluymans

Pris
S$ 138

Bestillingsvarer

Forventes levert 7. - 15. aug

Kundene våre sier:

14 dages returrett
Toppvurdering på Trustpilot
Legg til iMusic ønskeliste
Eller

Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy 1st ed. 2019 edition

This book presents novel classification algorithms for four challenging prediction tasks, namely learning from imbalanced, semi-supervised, multi-instance and multi-label data.

249 pages, 10 Illustrations, color; 13 Illustrations, black and white; XVIII, 249 p. 23 illus., 10 i

Media Bøker     Bok
Utgitt 5. desember 2018
ISBN13 9783030046620
Utgivere Springer Nature Switzerland AG
Antall sider 249
Mål 571 g
Språk Tysk  

Se alt med Vluymans ( f.eks. Bok )