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» Learning to Learn Causal Models
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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 3 days ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
ATAL
2004
Springer
15 years 5 months ago
Social Judgment in Multiagent Interactions
Social judgment is a process of social explanation whereby one identifies which entities deserve credit or blame for multiagent activities. Such explanations are a key aspect of i...
Wenji Mao, Jonathan Gratch
ILP
2005
Springer
15 years 5 months ago
Machine Learning for Systems Biology
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...
Stephen Muggleton
CVPR
2012
IEEE
13 years 2 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...
NDSS
2005
IEEE
15 years 5 months ago
Enriching Intrusion Alerts Through Multi-Host Causality
Current intrusion detection systems point out suspicious states or events but do not show how the suspicious state or events relate to other states or events in the system. We sho...
Samuel T. King, Zhuoqing Morley Mao, Dominic G. Lu...