1512 search results - page 39 / 303 » Inference Algorithms for Similarity Networks |
JAIR
2007
14 years 9 months ago
2007
The paper presents a new sampling methodology for Bayesian networks that samples only a subset of variables and applies exact inference to the rest. Cutset sampling is a network s...
NIPS
1998
14 years 11 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
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CORR
2011
Springer
14 years 4 months ago
2011
Springer
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
KDD
2010
ACM
14 years 7 months ago
2010
ACM
In an online rating system, raters assign ratings to objects contributed by other users. In addition, raters can develop trust and distrust on object contributors depending on a f...
DSP
2007
14 years 9 months ago
2007
We tackle the general linear instantaneous model (possibly underdetermined and noisy) where we model the source prior with a Student t distribution. The conjugate-exponential char...