A database of non-native German productions was annotated by three different groups: by experts using detailed, localised labels as well as coarse, global labels, and by phoneticians and naı̈ve subjects, using the same coarse global labels. For the detailed annotation, segmental and supra-segmental labels were given segment-based and word-based. The global annotation consisted of a turn-based as...

Experts often play a fundamental role in decision-making processes. They are the bearers of an epistemic authority, which is primarily grounded on what we may call scientific naturalism. The main tenets this view can clash though with other values characterising our pluralist societies. This lead to conflicts but also devaluation or rejection sort knowledge and advise offered by experts. In pap...

We consider a cross-calibration test of predictions by multiple potential experts in a stochastic environment. This test checks whether each expert is calibrated conditional on the predictions made by other experts. We show that this test is good in the sense that a true expert—one informed of the true distribution of the process—is guaranteed to pass the test no matter what the other potential...

In this work, we propose a generalized product of experts (gPoE) framework for combining the predictions of multiple probabilistic models. We identify four desirable properties that are important for scalability, expressiveness and robustness, when learning and inferring with a combination of multiple models. Through analysis and experiments, we show that gPoE of Gaussian processes (GP) have th...