In this paper, we propose the use of weighted linguistic fuzzy rules in combination with a rule selection process to develop accurate fuzzy logic controllers dedicated to the inte...
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
We present in this paper the results of our study on the human perception of geometric distortions in images. The ultimate goal of this study is to devise an objective measurement...
Ever since the landmark paper Ramshaw and Marcus (1995), machine learning systems have been used successfully for identifying base phrases (chunks), the bottom constituents of a p...
In this paper we present an improvement of the precision of classification algorithm results. Two various approaches are known: bagging and boosting. This paper describes a set of ...