573 search results - page 71 / 115 » Probabilistic Explanation Based Learning |
LREC
2010
13 years 10 months ago
2010
Reflecting the rapid growth of science, technology, and culture, it has become common practice to consult tools on the World Wide Web for various terms. Existing search engines pr...
COGSCI
2008
13 years 7 months ago
2008
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
IWINAC
2007
Springer
14 years 2 months ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
EMNLP
2006
13 years 10 months ago
2006
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...