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This paper deals with the problem of probability density estimation with the goal of finding a good probabilistic representation of the data. One of the most popular density estimation methods is the Gaussian mixture model (GMM). A promising alternative to ...
The blackboard model is a flexible problem-solving approach where the data and knowledge rules are strictly separated. The data generated during a problem resolution, from a problem statement to a solution through various stages of inferences, is centrally ...
Neuroscience produces a vast amount of data from an enormous diversity of neurons. A neuronal classification system is essential to organize such data and the knowledge that is derived from them. Classification depends on the unequivocal identification of ...
Data alone are worth almost nothing. While data collection is increasing exponentially worldwide, a clear distinction between retrieving data and obtaining knowledge has to be made. Data are retrieved while measuring phenomena or gathering facts. Knowledge ...
This paper uses a two-country, sticky-price model with non-atomistic wage setters to study the role of collective wage bargaining in the propagation of monetary shocks. I find that the welfare transmissions of a monetary expansion are reinforced by differe ...
Neuroscience produces a vast amount of data from an enormous diversity of neurons. A neuronal classification system is essential to organize such data and the knowledge that is derived from them. Classification depends on the unequivocal identification of ...
This paper analyses the role of patent-filing fees requested by the member states of the European Patent Convention (EPC). We provide first empirical evidence showing that the fee elasticity of the demand for priority applications is negative and significa ...
In the last five years, Deep Brain Stimulation (DBS) has become the most popular and effective surgical technique for the treatment of Parkinsons disease (PD). The Subthalamic Nucleus (STN) is the usual target involved when applying DBS. Unfortunately, th ...
High spatio-temporal resolution monitoring has only been progressively developed in the Rhine–Meuse basins over the last few decades. As a consequence, basic hydrological information can be very scarce in some areas. In regions which are homogeneous from a ...
