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» k-relevant Explanations for Constraint Programming
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UAI
1997
13 years 9 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
ECLIPSE
2006
ACM
14 years 1 months ago
XPlainer-Eclipse: explaining XPath within Eclipse
The popularity of XML has motivated the development of novel XML processing tools many of which embed the XPath language for XML querying, transformation, constraint specificatio...
John W. S. Liu, Mariano P. Consens, Flavio Rizzolo
AI
1999
Springer
13 years 7 months ago
Bucket Elimination: A Unifying Framework for Reasoning
Bucket elimination is an algorithmic framework that generalizes dynamic programming to accommodate many problem-solving and reasoning tasks. Algorithms such as directional-resolut...
Rina Dechter
IJCAI
1997
13 years 9 months ago
Mini-Buckets: A General Scheme for Generating Approximations in Automated Reasoning
The class of algorithms for approximating reasoning tasks presented in this paper is based on approximating the general bucket elimination framework. The algorithms have adjustabl...
Rina Dechter
SIGSOFT
2008
ACM
14 years 8 months ago
Effective blame for information-flow violations
Programs trusted with secure information should not release that information in ways contrary to system policy. However, when a program contains an illegal flow of information, cu...
Dave King 0002, Trent Jaeger, Somesh Jha, Sanjit A...