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Latent variable models for the topographic organisation of discrete and strictly positive data

Girolami, M; (2002) Latent variable models for the topographic organisation of discrete and strictly positive data. In: (Proceedings) 8th European Symposium on Artificial Neural Networks (ESANN). (pp. pp. 185-198). ELSEVIER SCIENCE BV

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Type: Proceedings paper
Title: Latent variable models for the topographic organisation of discrete and strictly positive data
Event: 8th European Symposium on Artificial Neural Networks (ESANN)
Location: BRUGGE, BELGIUM
Dates: 26 April 2001 - 28 April 2001
DOI: 10.1016/S0925-2312(01)00659-2
Keywords: Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, generative models, topographic mappings, non-negative matrix factorisation, latent semantic analysis, MATRIX FACTORIZATION
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Maths and Physical Sciences
URI: http://discovery.ucl.ac.uk/id/eprint/1339667
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