Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees

Number of the records: 1

1.

SYSNO	0434119
Title	Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees
Author(s)	Grim, Jiří (UTIA-B) [RO]_{RID, ORCID} Pudil, P. (CZ)
Source Title	NCTA2014 - International Conference on Neural Computation Theory and Applications. S. 65-75. - Rome : SCITEPRESS, 2014
Conference	6-th International Conference on Neural Computation Theory and Applications, 22.10.2014-24.10.2014, Rome
Document Type	Konferenční příspěvek (zahraniční konf.)
Grant	GA14-02652S GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic
	GAP403/12/1557, CZ - Czech Republic
Institutional support	UTIA-B - RVO:67985556
Language	eng
Country	PT
Keywords	Probabilistic Neural Networks * Product Mixtures * Mixtures of Dependence Trees * EM Algorithm
URL	http://library.utia.cas.cz/separaty/2014/RO/grim-0434119.pdf
Permanent Link	http://hdl.handle.net/11104/0238366

Number of the records: 1