163 search results - page 21 / 33 » Distributed Multi-Agent Probabilistic Reasoning With Bayesia... |
99
Voted
NECO
2002
14 years 11 months ago
2002
In this work, we discuss practical methods for the assessment, comparison, and selection of complex hierarchical Bayesian models. A natural way to assess the goodness of the model...
KES
2007
Springer
15 years 5 months ago
2007
Springer
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
FLAIRS
2004
15 years 1 months ago
2004
Bayesian network is a popular modeling tool for uncertain domains that provides a compact representation of a joint probability distribution among a set of variables. Even though ...
97
Voted
ICML
2009
IEEE
16 years 14 days ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
123
Voted
AI
2010
Springer
14 years 11 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...