506 search results - page 63 / 102 » Learning Bayesian Networks from Incomplete Databases |
ML
2006
ACM
14 years 9 months ago
2006
ACM
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
In order to structure a gene network, a score-based approach is often used. A score-based approach, however, is problematic because by assuming a probability distribution, one is ...
ECSQARU
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...
BMCBI
2008
14 years 10 months ago
2008
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...