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» Complexity of Inference in Graphical Models
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ICA3PP
2010
Springer
14 years 15 days ago
Accelerating Euler Equations Numerical Solver on Graphics Processing Units
Abstract. Finite volume numerical methods have been widely studied, implemented and parallelized on multiprocessor systems or on clusters. Modern graphics processing units (GPU) pr...
Pierre Kestener, Frédéric Chât...
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
14 years 8 days ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
PCI
2005
Springer
14 years 1 months ago
A Graphical Rule Authoring Tool for Defeasible Reasoning in the Semantic Web
Defeasible reasoning is a rule-based approach for efficient reasoning with incomplete and inconsistent information. Such reasoning is useful for many applications in the Semantic W...
Nick Bassiliades, Efstratios Kontopoulos, Grigoris...
ISBI
2006
IEEE
14 years 8 months ago
A novel approximate inference approach to automated classification of protein subcellular location patterns in multi-cell images
The subcellular location of proteins is most often determined by visual interpretation of fluorescence microscope images. In recent years, automated systems have been developed so...
Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Mu...
CORR
2008
Springer
234views Education» more  CORR 2008»
13 years 7 months ago
Bayesian Compressive Sensing via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk