148 search results - page 6 / 30 » Discriminative parameter learning for Bayesian networks |
ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
100
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ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
105
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AAAI
2004
14 years 11 months ago
2004
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...
120
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AMAI
2008
Springer
14 years 9 months ago
2008
Springer
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
EMNLP
2006
14 years 11 months ago
2006
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...