698 search results - page 49 / 140 » Bayesian probability |
ACL
2008
2008
Using Adaptor Grammars to Identify Synergies in the Unsupervised Acquisition of Linguistic Structure
13 years 10 months ago
Adaptor grammars (Johnson et al., 2007b) are a non-parametric Bayesian extension of Probabilistic Context-Free Grammars (PCFGs) which in effect learn the probabilities of entire s...
AIIA
2007
Springer
14 years 3 months ago
2007
Springer
Logic Programs with Annotated Disjunctions and CP-logic are two different but related languages for expressing probabilistic information in logic programming. The paper presents a...
ETFA
2008
IEEE
13 years 10 months ago
2008
IEEE
Microshrinkages are known as probably the most difficult defects to avoid in high-precission foundry. Depending on the magnitude of this defect, the piece in which it appears must...
FLAIRS
2004
13 years 10 months ago
2004
How to compute marginals efficiently is one of major concerned problems in probabilistic reasoning systems. Traditional graphical models do not preserve all conditional independen...
BMCBI
2010
13 years 9 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...