553 search results - page 29 / 111 » Bayesian network learning algorithms using structural restri... |
99
Voted
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
We propose a new Bayesian approach to object-based image retrieval with relevance feedback. Although estimating the object posterior probability density from few examples seems in...
ECSQARU
1995
Springer
15 years 1 months ago
1995
Springer
The paper presents a method for uncertainty propagation in Bayesian networks in symbolic, as opposed to numeric, form. The algebraic structure of probabilities is characterized. Th...
JMLR
2006
14 years 9 months ago
2006
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
NIPS
2004
14 years 11 months ago
2004
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...