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» Causal Relation Extraction
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136
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SG
2005
Springer
15 years 9 months ago
Picturing Causality - The Serendipitous Semiotics of Causal Graphs
Abstract. Bayesian nets (BNs) appeared in the 1980s as a solution to computational and representational problems encountered in knowledge representation of uncertain information. S...
Eric Neufeld, Sonje Kristtorn
139
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JMLR
2010
128views more  JMLR 2010»
14 years 10 months ago
Learning Causal Structure from Overlapping Variable Sets
We present an algorithm name cSAT+ for learning the causal structure in a domain from datasets measuring different variable sets. The algorithm outputs a graph with edges correspo...
Sofia Triantafilou, Ioannis Tsamardinos, Ioannis G...
138
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UAI
2008
15 years 5 months ago
Explanation Trees for Causal Bayesian Networks
Bayesian networks can be used to extract explanations about the observed state of a subset of variables. In this paper, we explicate the desiderata of an explanation and confront ...
Ulf H. Nielsen, Jean-Philippe Pellet, André...
123
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IJCAI
1993
15 years 5 months ago
Fuzzy Causal Simulation in Process Engineering
: This paper presents a causal simulation method for incompletely known dynamic systems in process engineering. The causal model of a process is represented as both a causal networ...
Kouamana Bousson, Louise Travé-Massuy&egrav...
127
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CORR
2012
Springer
171views Education» more  CORR 2012»
13 years 11 months ago
Discovering causal structures in binary exclusive-or skew acyclic models
Discovering causal relations among observed variables in a given data set is a main topic in studies of statistics and artificial intelligence. Recently, some techniques to disco...
Takanori Inazumi, Takashi Washio, Shohei Shimizu, ...