75 search results - page 1 / 15 » Learning mixture models using a genetic version of the EM al... |
PRL
2000
13 years 5 months ago
2000
The need to
SSPR
2004
Springer
13 years 10 months ago
2004
Springer
Mixture modelling is a hot area in pattern recognition. This paper focuses on the use of Bernoulli mixtures for binary data and, in particular, for binary images. More specificall...
PCI
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. It has been recently demonstrated that the classical EM algorithm for learning Gaussian mixture models can be successfully implemented in a decentralized manner by resort...
NN
1998
Springer
13 years 5 months ago
1998
Springer
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
GECCO
2011
Springer
12 years 8 months ago
2011
Springer
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...