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» Issues in Temporal and Causal Inference
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UAI
2008
13 years 8 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash
JOCN
2010
103views more  JOCN 2010»
13 years 2 months ago
Functional Neuroimaging Can Support Causal Claims about Brain Function
Cognitive neuroscientists habitually deny that functional neuroimaging can furnish causal information about the relationship between brain events and behavior. However, imaging st...
Matthew J. Weber, Sharon L. Thompson-Schill
AI
1998
Springer
13 years 11 months ago
Temporally Invariant Junction Tree for Inference in Dynamic Bayesian Network
Abstract. Dynamic Bayesian networks (DBNs) extend Bayesian networks from static domains to dynamic domains. The only known generic method for exact inference in DBNs is based on dy...
Yang Xiang
CVPR
2012
IEEE
11 years 10 months ago
Bridging the past, present and future: Modeling scene activities from event relationships and global rules
This paper addresses the discovery of activities and learns the underlying processes that govern their occurrences over time in complex surveillance scenes. To this end, we propos...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...
AIPS
2004
13 years 8 months ago
Domain-Specific Preferences for Causal Reasoning and Planning
We address the issue of incorporating domain-specific preferences in planning systems, where a preference may be seen as a "soft" constraint that it is desirable, but no...
James P. Delgrande, Torsten Schaub, Hans Tompits