644 search results - page 51 / 129 » Robust Bayesian Mixture Modelling |
107
Voted
GI
2009
Springer
15 years 4 months ago
2009
Springer
: Large traffic network systems require handling huge amounts of data, often distributed over a large geographical region in space and time. Centralised processing is not then the ...
121
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KDD
2004
ACM
15 years 6 months ago
2004
ACM
Mark-recapture models have for many years been used to estimate the unknown sizes of animal and bird populations. In this article we adapt a finite mixture mark-recapture model i...
267
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ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model--each data point is modeled with a collection of components of different proportions. T...
97
Voted
UAI
2000
15 years 2 months ago
2000
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
103
Voted
CSDA
2008
15 years 23 days ago
2008
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...