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» Inferring Knowledge from a Large Semantic Network
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ICLP
2010
Springer
15 years 7 months ago
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Daan Fierens
TON
2010
204views more  TON 2010»
14 years 11 months ago
Passive Diagnosis for Wireless Sensor Networks
Network diagnosis, an essential research topic for traditional networking systems, has not received much attention for wireless sensor networks. Existing sensor debugging tools li...
Yunhao Liu, Kebin Liu, Mo Li
CIBCB
2007
IEEE
15 years 8 months ago
Prediction of Enzyme Catalytic Sites from Sequence Using Neural Networks
The accurate prediction of enzyme catalytic sites remains an open problem in bioinformatics. Recently, several structure-based methods have become popular; however, few robust seq...
Swati Pande, Amar Raheja, Dennis R. Livesay
HICSS
2005
IEEE
125views Biometrics» more  HICSS 2005»
15 years 10 months ago
An Ontological Approach for Recovering Legacy Business Content
— Legacy Information Systems (LIS) pose a challenge for many organizations. On one hand, LIS are viewed as aging systems needing replacement; on the other hand, years of accumula...
Aseem Daga, Sergio de Cesare, Mark Lycett, Christo...
FLAIRS
2009
15 years 2 months ago
Constraint-based Approach to Discovery of Inter Module Dependencies in Modular Bayesian Networks
This paper introduces an information theoretic approach to verification of modular causal probabilistic models. We assume systems which are gradually extended by adding new functi...
Patrick de Oude, Gregor Pavlin