A concept hierarchy is a kind of general form of knowledge representation. Most of the previous researches on describing the concept hierarchy use tree-like crisp taxonomy. However...
: In this paper, we propose an empirical likelihood (EL) based strategy for building confidence intervals for differences between two contrasting groups. The proposed method can de...
This paper presents a SLAM algorithm for a team of mobile robots exploring an indoor environment, described by adopting the M-Space representation of linear features. Each robot so...
Daniele Benedettelli, Andrea Garulli, Antonio Gian...
The importance of electronic collaboration has risen as successful organisations recognize that they need to convert their intellectual resources into goods and services their cus...
Sajda Qureshi, Andries van der Vaart, Gijs Kauling...
Abstract. One important challenge in data mining is to extract interesting knowledge and useful information for expert users. Since data mining algorithms extracts a huge quantity ...