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This paper describes a systems for emotion recognition and its application on the dataset from the AV+EC 2016 Emotion Recognition Challenge. The realized system was produced and submitted to the AV+EC 2016 evaluation, making use of all three modalities (audio, video, and physiological data). Our work primarily focused on features derived from audio. The(More)
OBJECTIVE To provide an update on glycaemic control in European patients with type 2 diabetes based on data from the nine-country, cross-sectional PANORAMA study (NCT00916513). DESIGN Post-hoc analysis to report the number of patients achieving/not achieving glycaemic goal (HbA(1c) <7%). PATIENTS Patients were randomly or consecutively selected from(More)
Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimization problems. The model fitting task in this class of algorithms has largely been carried out to date based on maximum likelihood. An alternative approach that is prevalent in(More)
Technological and clinical advances have led to increased levels of patient dependency and shorter hospital stay, such that they are now often managed on general wards. Have staff been trained or educated for this change in focus? This project was designed to identify the education and training needs of health care professionals in assessing and managing(More)
Ray Solomonoff invented the notion of universal induction featuring an aptly termed “universal” prior probability function over all possible computable environments [9]. The essential property of this prior was its ability to dominate all other such priors. Later, Levin introduced another construction — a mixture of all possible priors or “universal(More)
In the setting of adjoint pairs of operators we consider the question: to what extent does the Weyl M -function see the same singularities as the resolvent of a certain restriction AB of the maximal operator? We obtain results showing that it is possible to describe explicitly certain spaces S and S̃ such that the resolvent bordered by projections onto(More)
Combinatorial optimization problems share an interesting property with spin glass systems in that their state spaces can exhibit ultrametric structure. We use sampling methods to analyse the error surfaces of feedforward multi-layer perceptron neural networks learning encoder problems. The third order statistics of these points of attraction are examined(More)