In this paper we discuss the application of a new machine learning approach - Argument Based Machine Learning - to the legal domain. An experiment using a dataset which has also be...
Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Cap...
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
Though recent analysis of traditional cooperative coevolutionary algorithms (CCEAs) casts doubt on their suitability for static optimization tasks, our experience is that the algo...
This paper explains the building of robust software using multiagent reputation. One of the major goals of software engineering is to achieve robust software. Our hypothesis is th...