Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
In this paper, we reported some experiments conducted by our members in the SIG team at the IRIT laboratory in the University of Toulouse within the context of the medical informat...
Abstract-Malicious attacks against power system state estimation are considered. It has been recently observed that if an adversary is able to manipulate the measurements taken at ...
Oliver Kosut, Liyan Jia, Robert J. Thomas, Lang To...
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
One problem with using CBR for diagnosis is that a full case description may not be available at the beginning of the diagnosis. The standard CBR methodology requires a detailed c...