1489 search results - page 194 / 298 » Monotonicity in Bayesian Networks |
128
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UAI
2004
15 years 5 months ago
2004
In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive proced...
151
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ISI
2006
Springer
15 years 4 months 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...
106
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ECSQARU
2001
Springer
15 years 9 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...
127
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PKDD
2009
Springer
15 years 11 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...
147
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IROS
2006
IEEE
15 years 10 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...