In recent years, Bayesian nonparametric inference, both theoretical and computational, has witnessed considerable advances. However, these advances have not received a full critical and comparative analysis of their scope, impact and limitations in statistical modelling; many aspects of the theory and methods remain a mystery to practitioners and many open questions remain. In this paper, we di...

In the field of Oil & Gas, the ISO15926 proposes a standard for integration, sharing, exchange and delivery of data between computer systems based on the standardization of data formats and an ontology approach to represent common industry classes and relations. Due to the structure and the large number of terms defined at this standard, the complexity of creation information models is high. Th...

In this paper, an MILP formulation is proposed for the design of a reverse logistics network based on a warehouse location–allocation model, which optimizes, simultaneously, the forward and reverse networks. A single product model with unlimited capacity is first defined. Subsequently, the model is extended to a multi-product capacitated recovery network model, where capacity limitations and a ...

Maturity models in the domain of IOS have been developed and used for organizational design and analysis. Nevertheless, they typically provide a heterogeneous and inconsistent picture of relevant problem spaces (e.g. Supply Chain Management, interoperability problems, etc.). This effect is aggravated by the lack of a thorough model or method for self-appraisal with respect to an organization’s ...

The current paper reports the first results from the analysis of task-oriented dialogs using a Fujisaki model-based parameterization of F0 contours, as well as a model of the perceptual local speech rate. Two versions of map task style dialogs were examined: (1) the recordings made during the map task proper, (2) readings from scripts of the original dialogs by the same subjects. The first part...

A genetic algorithm is used for learning qualitative model* baaed on the QSIM formalism. Hierarchical representation enables formation of "submodels" relevant for induction of domain explanation. Daring the search for better coding of the candidates, in parallel with the search for better solutions, the sise and shape of candidate solutions are dynamically created. Optimisation is based on the ...

Developing practical tools to aid in understanding physiological systems is a formidable undertaking. This paper presents a method that uses a property structure for the domain being investigated. Furthermore, it employs realistic models to present examples of the behavior of the system. From these examples the principles that relate the properties are inferred through the use of machine learni...

We describe our approach to support the construction of qualitative models used for predicting the behaviour of physical devices. Model speciication is the process of specifying the properties of a particular device at hand and specifying the domain knowledge needed to predict its behaviour. It can be supported by a set of dedicated editors. Model modiication is the process in which deviations ...