Bayesian learning for self-organising maps

Electronics Letters

Volumn 33, Issue 4, 1997, Pages 304-305

  Yin, H ^a   Allinson, N M ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Bayes methods; Learning systems

Indexed keywords

ALGORITHMS; NEURAL NETWORKS; PARAMETER ESTIMATION; PATTERN RECOGNITION; PROBABILITY DENSITY FUNCTION;

BAYESIAN SELF ORGANIZING MAP (BSOM);

LEARNING SYSTEMS;

EID: 0031076579     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:19970196     Document Type: Article

References (8)

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2. YIN, H., and ALLINSON, N.M.: 'On the distribution and convergence of feature space in self-organising maps'. Neural Computation. 1995, 7, (6), pp. 1178-1187
3. DUDA, H., and HART, P.E.: 'Pattern classification and scene analysis' (John Wiley, New York, 1973)
4. HISHOP, C.M.: 'Neural networks for pattern recognition' (Clarendon Press, Oxford, 1995)
5. YIN, H., and ALLINSON, N.M.: "Towards to the optimal Bayes classifier using an extended self-organising map'. Proc. ICANN, 1995, Vol. 2, pp. 45-49
6. LUTTRELL, S.P.: 'Self-supervised training of hierarchical vector quantisers'. Proc. IEE Intern. Conf. on Artif. Neural Networks, 1991, pp. 5-9
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8. BRODATZ, P.: 'Textures: A photographic album for artists and designers' (Dover Publication, New York, 1966)