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» Structure learning of Bayesian networks using constraints
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ATAL
2009
Springer
15 years 6 months ago
Distributed constraint optimization with structured resource constraints
Distributed constraint optimization (DCOP) provides a framework for coordinated decision making by a team of agents. Often, during the decision making, capacity constraints on age...
Akshat Kumar, Boi Faltings, Adrian Petcu
CORR
2011
Springer
160views Education» more  CORR 2011»
14 years 3 months ago
Searching for Bayesian Network Structures in the Space of Restricted Acyclic Partially Directed Graphs
Although many algorithms have been designed to construct Bayesian network structures using different approaches and principles, they all employ only two methods: those based on i...
Silvia Acid, Luis M. de Campos
CDC
2009
IEEE
167views Control Systems» more  CDC 2009»
15 years 4 months ago
Factoring Dynamic Bayesian Networks based on structural observability
— Dynamic Bayesian Networks (DBNs) provide a systematic framework for robust online monitoring of dynamic systems. This paper presents an approach for increasing the efficiency ...
Indranil Roychoudhury, Gautam Biswas, Xenofon D. K...
AAAI
2008
15 years 2 months ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong
AUSAI
2006
Springer
15 years 3 months ago
Robust Character Recognition Using a Hierarchical Bayesian Network
There is increasing evidence to suggest that the neocortex of the mammalian brain does not consist of a collection of specialised and dedicated cortical architectures, but instead ...
John Thornton, Torbjorn Gustafsson, Michael Blumen...