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» Being Bayesian about Network Structure
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IJAR
2010
130views more  IJAR 2010»
14 years 10 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
74
Voted
WWW
2005
ACM
16 years 10 days ago
Association search in semantic web: search + inference
Association search is to search for certain instances in semantic web and then make inferences from and about the instances we have found. In this paper, we propose the problem of...
Bangyong Liang, Jie Tang, Juan-Zi Li
137
Voted
ICSNC
2007
IEEE
15 years 6 months ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh
94
Voted
EUROPAR
2004
Springer
15 years 5 months ago
Scheduling Under Conditions of Uncertainty: A Bayesian Approach
The efficient execution of irregular parallel applications on shared distributed systems requires novel approaches to scheduling, since both the application requirements and the sy...
Luís Paulo Santos, Alberto José Proe...
109
Voted
ECAI
2010
Springer
15 years 23 days ago
Probabilistic Logic with Conditional Independence Formulae
We investigate probabilistic propositional logic as a way of expressing and reasoning about uncertainty. In contrast to Bayesian networks, a logical approach can easily cope with i...
Magdalena Ivanovska, Martin Giese