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AAAI
2007
13 years 9 months ago
Macroscopic Models of Clique Tree Growth for Bayesian Networks
In clique tree clustering, inference consists of propagation in a clique tree compiled from a Bayesian network. In this paper, we develop an analytical approach to characterizing ...
Ole J. Mengshoel
CLADE
2008
IEEE
14 years 1 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens
COMMA
2010
13 years 2 months ago
Probabilistic Semantics for the Carneades Argument Model Using Bayesian Networks
Abstract. This paper presents a technique with which instances of argument structures in the Carneades model can be given a probabilistic semantics by translating them into Bayesia...
Matthias Grabmair, Thomas F. Gordon, Douglas Walto...
PAA
2008
13 years 7 months ago
Human action recognition in videos based on the Transferable Belief Model
Abstract This paper focuses on human behavior recognition where the main problem is to bridge the semantic gap between the analogue observations of the real world and the symbolic ...
Emmanuel Ramasso, Costas Panagiotakis, Denis Pelle...
AMAI
2004
Springer
14 years 26 days ago
Bayesian Model Averaging Across Model Spaces via Compact Encoding
Bayesian Model Averaging (BMA) is well known for improving predictive accuracy by averaging inferences over all models in the model space. However, Markov chain Monte Carlo (MCMC)...
Ke Yin, Ian Davidson