ON MULTI-VIEW LEARNING WITH ADDITIVE MODELS

In many scientific settings data can be naturally partitioned into variable groupings called views. Common examples include environmental (1st view) and genetic information (2nd view) in ecological applications, chemical (1st view) and biological (2nd view) data in drug discovery. Multi-view data al...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	The annals of applied statistics 2009-03, Vol.3 (1), p.292-318
Hauptverfasser:	CULP, Mark, MICHAILIDIS, George, JOHNSON, Kjell
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications Biology, psychology, social sciences Exact sciences and technology generalized additive model Global analysis, analysis on manifolds Markov processes Mathematics model selection Multi-view learning Multivariate analysis Probability and statistics Probability theory and stochastic processes Sciences and techniques of general use semi-supervised learning smoothing Statistics Topology. Manifolds and cell complexes. Global analysis and analysis on manifolds
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!