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» Causal Relation Extraction
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93
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SG
2005
Springer
15 years 3 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
94
Voted
JMLR
2010
128views more  JMLR 2010»
14 years 5 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...
87
Voted
UAI
2008
14 years 11 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...
81
Voted
IJCAI
1993
14 years 11 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...
86
Voted
CORR
2012
Springer
171views Education» more  CORR 2012»
13 years 6 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, ...