403 search results - page 17 / 81 » Bayesian Cluster Ensembles |
AUSAI
2005
Springer
14 years 3 months ago
2005
Springer
SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes’ attribute independence assumption by allowing each attribute to depend on a common single attribute (superpare...
MCS
2007
Springer
14 years 3 months ago
2007
Springer
A new scheme for the optimization of codebook sizes for HMMs and the generation of HMM ensembles is proposed in this paper. In a discrete HMM, the vector quantization procedure and...
KES
2005
Springer
14 years 3 months ago
2005
Springer
Clustering for the analysis of the gene expression profiles has been used for identifying the functions of the genes and of unknown genes. Since the genes usually belong to multipl...
NECO
2002
13 years 9 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
SAINT
2003
IEEE
14 years 2 months ago
2003
IEEE
In this paper we address the problem of analyzing web log data collected at a typical online newspaper site. We propose a two-way clustering technique based on probability theory....