We focus on credal nets, which are graphical models that generalise Bayesian nets to imprecise probability. We replace the notion of strong independence commonly used in credal ne...
Gert de Cooman, Filip Hermans, Alessandro Antonucc...
Domain-specific modeling (DSM) assists subject matter experts in describing the essential characteristics of a problem in their domain. Various software artifacts can be generated...
Faizan Javed, Marjan Mernik, Jeff Gray, Barrett R....
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Although many variants of language models have been proposed for information retrieval, there are two related retrieval heuristics remaining “external” to the language modelin...