1423 search results - page 189 / 285 » Object-Oriented Bayesian Networks |
109
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ISI
2006
Springer
15 years 21 days ago
2006
Springer
Since privacy information can be inferred via social relations, the privacy confidentiality problem becomes increasingly challenging as online social network services are more popu...
77
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ECSQARU
2001
Springer
15 years 5 months ago
2001
Springer
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
PKDD
2009
Springer
15 years 7 months ago
2009
Springer
This article contributes a generic model of topic models. To define the problem space, general characteristics for this class of models are derived, which give rise to a represent...
116
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IROS
2006
IEEE
15 years 6 months ago
2006
IEEE
— This work recommends an architecture and its fundamental components for motion planning for mobile robots in dynamic environments. An adaptive behavior to typical motion patter...
98
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KDD
2003
ACM
16 years 1 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...