447 search results - page 41 / 90 » Explaining inferences in Bayesian networks |
151
Voted
ACL
2012
13 years 5 months ago
2012
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
138
Voted
IDA
2003
Springer
15 years 8 months ago
2003
Springer
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
189
Voted
AAAI
2008
15 years 5 months ago
2008
Many existing explanation methods in Bayesian networks, such as Maximum a Posteriori (MAP) assignment and Most Probable Explanation (MPE), generate complete assignments for target...
134
Voted
IEEEARES
2006
IEEE
15 years 9 months ago
2006
IEEE
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
169
Voted
CORR
2012
Springer
13 years 11 months ago
2012
Springer
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...