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CORR
2012
Springer
210views Education» more  CORR 2012»
13 years 11 months ago
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
Vinayak Rao, Yee Whye Teh
UAI
2001
15 years 5 months ago
Hypothesis Management in Situation-Specific Network Construction
This paper considers the problem of knowledgebased model construction in the presence of uncertainty about the association of domain entities to random variables. Multi-entity Bay...
Kathryn B. Laskey, Suzanne M. Mahoney, Ed Wright
MICAI
2005
Springer
15 years 9 months ago
Directed Cycles in Bayesian Belief Networks: Probabilistic Semantics and Consistency Checking Complexity
Although undirected cycles in directed graphs of Bayesian belief networks have been thoroughly studied, little attention has so far been given to a systematic analysis of directed ...
Alexander L. Tulupyev, Sergey I. Nikolenko
ICIP
2006
IEEE
16 years 5 months ago
Detection of Drivable Corridors for Off-Road Autonomous Navigation
This paper describes a hierarchical Bayesian network used for segmenting desert images and detecting off road drivable corridors for autonomous navigation. Unlike the embedded hid...
Ara V. Nefian, Gary R. Bradski
ECML
2007
Springer
15 years 10 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...