220 search results - page 20 / 44 » Learning probabilistic decision graphs |
JMLR
2010
13 years 2 months ago
2010
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
COLING
2008
13 years 9 months ago
2008
We propose a new integrated approach based on Markov logic networks (MLNs), an effective combination of probabilistic graphical models and firstorder logic for statistical relatio...
WIDM
2004
ACM
14 years 28 days ago
2004
ACM
A Focused crawler must use information gleaned from previously crawled page sequences to estimate the relevance of a newly seen URL. Therefore, good performance depends on powerfu...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
FLAIRS
2000
13 years 9 months ago
2000
Bayesian KnowledgeBases (BKB)are a rule-based probabilistic modelthat extend BayesNetworks(BN), by allowing context-sensitive independenceand cycles in the directed graph. BKBshav...