3918 search results - page 518 / 784 » Probabilistic model of triangulation |
166
Voted
UAI
1998
15 years 5 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
141
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UAI
1997
15 years 5 months ago
1997
Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
127
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AAAI
1994
15 years 5 months ago
1994
To coordinate with other agents in its environment, an agent needs models of what the other agents are trying to do. When communication is impossible or expensive, this informatio...
126
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GECCO
2008
Springer
15 years 4 months ago
2008
Springer
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
121
Voted
CORR
2006
Springer
15 years 3 months ago
2006
Springer
The cross-entropy method (CE) developed by R. Rubinstein is an elegant practical principle for simulating rare events. The method approximates the probability of the rare event by...