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» Supporting Changes in Structure in Causal Model Construction
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JMLR
2010
134views more  JMLR 2010»
13 years 2 days ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
AI
2006
Springer
13 years 9 months ago
Modeling Causal Reinforcement and Undermining with Noisy-AND Trees
Abstract. Causal modeling, such as noisy-OR, reduces probability parameters to be acquired in constructing a Bayesian network. Multiple causes can reinforce each other in producing...
Y. Xiang, N. Jia
ICIAR
2004
Springer
13 years 10 months ago
Environment Authentication Through 3D Structural Analysis
Abstract. We address the validation of the current sensed environmental state against a model known from earlier perception. Our surface based approach compares 3D range data of a ...
Toby P. Breckon, Robert B. Fisher
CVPR
2009
IEEE
14 years 3 days ago
Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline ...
Abhinav Gupta, Praveen Srinivasan, Jianbo Shi, Lar...
IJCAI
1989
13 years 6 months ago
Reasoning About Hidden Mechanisms
1 describe an approach to the problem of forming hypotheses about hidden mechanisms w; thin devices — the "black box" problem for physical systems. The approach involv...
Richard J. Doyle