305 search results - page 19 / 61 » Bayesian Learning of Markov Network Structure |
155
Voted
ICMCS
2008
IEEE
15 years 9 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
224
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
This paper addresses the problem of fully automated
mining of public space video data. A novel Markov Clustering
Topic Model (MCTM) is introduced which builds on
existing Dynami...
157
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
121
Voted
UAI
1997
15 years 4 months ago
1997
There is an obvious need for improving the performance and accuracy of a Bayesian network as new data is observed. Because of errors in model construction and changes in the dynam...
138
Voted
IJCAI
2007
15 years 4 months ago
2007
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...