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» Generalized loopy 2U: A new algorithm for approximate infere...
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BCB
2010
140views Bioinformatics» more  BCB 2010»
13 years 1 months ago
Guiding belief propagation using domain knowledge for protein-structure determination
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Ameet Soni, Craig A. Bingman, Jude W. Shavlik
JAIR
2007
112views more  JAIR 2007»
13 years 6 months ago
Cutset Sampling for Bayesian Networks
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...
Bozhena Bidyuk, Rina Dechter
POPL
2007
ACM
14 years 6 months ago
Program verification as probabilistic inference
In this paper, we propose a new algorithm for proving the validity or invalidity of a pre/postcondition pair for a program. The algorithm is motivated by the success of the algori...
Sumit Gulwani, Nebojsa Jojic
SACMAT
2006
ACM
14 years 11 days ago
The secondary and approximate authorization model and its application to Bell-LaPadula policies
We introduce the concept, model, and policy-specific algorithms for inferring new access control decisions from previous ones. Our secondary and approximate authorization model (...
Jason Crampton, Wing Leung, Konstantin Beznosov
IJON
2007
184views more  IJON 2007»
13 years 6 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen