Latent Variable Models for the Topographic Organisation of Discrete and Strictly Positive Data

Girolami, M. (2001) Latent Variable Models for the Topographic Organisation of Discrete and Strictly Positive Data. Neural Computation, 48(1), pp. 185-198.

Full text not currently available from Enlighten.


Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Girolami, Prof Mark
Authors: Girolami, M.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Neural Computation

University Staff: Request a correction | Enlighten Editors: Update this record