منابع مشابه
Relational Dynamic Bayesian Networks
Stochastic processes that involve the creation of objects and relations over time are widespread, but relatively poorly studied. For example, accurate fault diagnosis in factory assembly processes requires inferring the probabilities of erroneous assembly operations, but doing this efficiently and accurately is difficult. Modeled as dynamic Bayesian networks, these processes have discrete varia...
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A new method is developed to represent prob abilistic relations on multiple random events. Where previously knowledge bases containing probabilistic rules were used for this purpose, here a probability distribution over the relations is directly represented by a Bayesian network. By using a powerful way of specifying conditional probability distributions in these networks, the resulting formal...
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Taking into account relationships between interacting objects can improve the understanding of the dynamic model governing their behaviors. Moreover, maintaining a belief about the ongoing activity while tracking allows online activity recognition and improves the tracking task. We investigate the use of Relational Dynamic Bayesian Networks to represent the relationships for the tasks of multi-...
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Many domains in the real world are richly structured, containing a diverse set of agents characterized by different set of features and related to each other in a variety of ways. Moreover, uncertainty both on the objects observations and on their relations can be present. This is the case of many problems as, for example, multi-target tracking, activity recognition, automatic surveillance and ...
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This paper investigates an encoding of a probabilistic TBox using relational Bayesian networks that are specified through a probabilistic description logic. The probabilistic description logic extends the popular ALC language; on top of this language we add a few operations that are needed to represent the cardinal direction calculus. Using such resources we model roads containing lanes, and ve...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2005
ISSN: 1076-9757
DOI: 10.1613/jair.1625