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» Objective Bayesian probabilistic logic
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ECAI
2010
Springer
15 years 21 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
ECML
2007
Springer
15 years 5 months ago
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search
We discuss how to learn non-recursive directed probabilistic logical models from relational data. This problem has been tackled before by upgrading the structure-search algorithm i...
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendr...
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CVPR
2007
IEEE
16 years 1 months ago
A Bayesian algorithm for tracking multiple moving objects in outdoor surveillance video
Reliable tracking of multiple moving objects in video is an interesting challenge, made difficult in real-world video by various sources of noise and uncertainty. We propose a Bay...
Manjunath Narayana, Donna Haverkamp
BIRTHDAY
2005
Springer
15 years 5 months ago
Objective Bayesian Nets
I present a formalism that combines two methodologies: objective Bayesianism and Bayesian nets. According to objective Bayesianism, an agent’s degrees of belief (i) ought to sat...
Jon Williamson
AAAI
2008
15 years 1 months ago
Revising Imprecise Probabilistic Beliefs in the Framework of Probabilistic Logic Programming
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Anbu Yue, Weiru Liu