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Chapter and Conference Paper
Synthetic Datasets and Evaluation Tools for Inductive Neural Reasoning
Logical rules are a popular knowledge representation language in many domains. Recently, neural networks have been proposed to support the complex rule induction process. However, we argue that existing datase...
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Chapter and Conference Paper
Updates and Uncertainty in CP-Nets
In this paper we present a two-fold generalization of conditional preference networks (CP-nets) that incorporates uncertainty. CP-nets are a formal tool to model qualitative conditional statements (cp-statemen...