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  1. Chapter and Conference Paper

    Copula PC Algorithm for Causal Discovery from Mixed Data

    We propose the ‘Copula PC’ algorithm for causal discovery from a combination of continuous and discrete data, assumed to be drawn from a Gaussian copula model. It is based on a two-step approach. The first ste...

    Ruifei Cui, Perry Groot… in Machine Learning and Knowledge Discovery in Databases (2016)

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    Chapter and Conference Paper

    Scalable Instance Retrieval for the Semantic Web by Approximation

    Approximation has been identified as a potential way of reducing the complexity of logical reasoning. Here we explore approximation for speeding up instance retrieval in a Semantic Web context. For OWL ontolog...

    Holger Wache, Perry Groot… in Web Information Systems Engineering – WISE… (2005)