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FUIN
2008
108views more  FUIN 2008»
13 years 6 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
ICPR
2004
IEEE
14 years 8 months ago
Non Stationary Bayesian Image Restoration
In this paper we propose a new iterative Bayesian non stationary image restoration algorithm. The main novelty
Aristidis Likas, Giannis K. Chantas, Nikolas P. Ga...
FLAIRS
2006
13 years 9 months ago
Generating Realistic Large Bayesian Networks by Tiling
In this paper we present an algorithm and software for generating arbitrarily large Bayesian Networks by tiling smaller real-world known networks. The algorithm preserves the stru...
Ioannis Tsamardinos, Alexander R. Statnikov, Laura...
UAI
2008
13 years 9 months ago
Identifying Dynamic Sequential Plans
We address the problem of identifying dynamic sequential plans in the framework of causal Bayesian networks, and show that the problem is reduced to identifying causal effects, fo...
Jin Tian
GECCO
2000
Springer
108views Optimization» more  GECCO 2000»
13 years 11 months ago
Hierarchical Problem Solving and the Bayesian Optimization Algorithm
The paper discusses three major issues. First, it discusses why it makes sense to approach problems in a hierarchical fashion. It de nes the class of hierarchically decomposable f...
Martin Pelikan, David E. Goldberg