91 search results - page 3 / 19 » Bayesian learning of joint distributions of objects |
114
Voted
UAI
2003
15 years 5 months ago
2003
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
151
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PPSN
2004
Springer
15 years 9 months ago
2004
Springer
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
172
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AAAI
2011
14 years 3 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
142
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CVPR
2001
IEEE
16 years 5 months ago
2001
IEEE
Outdoor scene classification is challenging due to irregular geometry, uncontrolled illumination, and noisy reflectance distributions. This paper discusses a Bayesian approach to ...
152
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ECCV
2010
Springer
15 years 6 months ago
2010
Springer
Detecting objects, estimating their pose and recovering 3D shape information is a critical problem in many vision and robotics applications. This paper addresses the above needs by...