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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...
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Article
A quantitative analysis of the robustness of knowledge-based systems through degradation studies
The overall aim of this paper is to provide a general setting for quantitative quality measures of knowledge-based system behaviour that is widely applicable to many knowledge-based systems. We propose a gener...
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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...