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Gene conversion is a mechanism by which a double-strand break in a DNA molecule is repaired using a homologous DNA molecule as a… Expand In the web usage mining process, the techniques of data mining are applied so as to discover the trends and the patterns in the… Expand Proof. As the edges in GC represent causal relations, a path of length 0 (no edge) is not considered a causal relation, and… Expand Marginal independence constraints play an important role in learning with graphical models. One way of parameterizing a model of… Expand Causal reasoning is primarily concerned with what would happen to a system under external interventions. In particular, we are… Expand ‘Iterative conditional fitting’ is a recently proposed algorithm that can be used for maximization of the likelihood function in… Expand Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks… Expand Abstract : This paper introduces a class of graphical independence models that is closed under marginalization and conditioning… Expand Ancestral graphs are a class of graphs that encode conditional independence relations arising in DAG models with latent and… Expand Directed acyclic graphs have been used fruitfully to represent causal structures (Pearl 1988). However, in the social sciences… Expand