Abstract--Mountain river torrents and snow avalanches generate human and material damages with dramatic consequences. Knowledge about natural phenomenona is often lacking and exper...
Jean-Marc Tacnet, Mireille Batton-Hubert, Jean Dez...
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
Although informative, the semantic definition proposed for the most standard agent communication language (FIPA ACL 1997) is complicated and contentious, while published interact...
Shamimabi Paurobally, Jim Cunningham, Nicholas R. ...
This paper describes a method for the segmentation of dynamic data. It extends well known algorithms developed in the context of static clustering (e.g., the c-means algorithm, Ko...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...