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» Complexity of Inference in Graphical Models
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ICLP
2003
Springer
15 years 7 months ago
On Deterministic Computations in the Extended Andorra Model
Logic programming is based on the idea that computation is controlled inference. The Extended Andorra Model provides a very powerful framework that supports both co-routining and p...
Ricardo Lopes, Vítor Santos Costa, Fernando...
124
Voted
CMSB
2004
Springer
15 years 8 months ago
Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Ensemble Methods
In this paper we present a methodology to estimate rates of enzymatic reactions in metabolic pathways. Our methodology is based on applying stochastic logic learning in ensemble le...
Huma Lodhi, Stephen Muggleton
RECOMB
2005
Springer
16 years 2 months ago
The Factor Graph Network Model for Biological Systems
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
127
Voted
ECCV
2008
Springer
15 years 4 months ago
Event Modeling and Recognition Using Markov Logic Networks
Abstract. We address the problem of visual event recognition in surveillance where noise and missing observations are serious problems. Common sense domain knowledge is exploited t...
Son Dinh Tran, Larry S. Davis
116
Voted
PG
2000
IEEE
15 years 7 months ago
FEM-Based Dynamic Subdivision Splines
Recent years have witnessed dramatic growth in the use of subdivision schemes for graphical modeling and animation, especially for the representation of smooth, oftentimes complex...
Hong Qin