This paper focuses on metadata standards for networked information discovery and retrieval of educational resources. Such standards, if they achieve a high degree of interoperabil...
In this paper, an architecture of a resourceallocating learning probabilistic neural network is considered. Construction and learning algorithms are proposed. The advantages of th...
The widespread use of artificial neural networks and the difficult work regarding the correct specification (tuning) of parameters for a given problem are the main aspects that mot...
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
In this paper, a new type of Petri net called Hierarchical Colored Hardware Petri net, to model real-delay switching activity for power estimation is proposed. The logic circuit i...