In this paper, we propose a timing-reasoning algorithm to improve the resolution of delay fault diagnosis. In contrast to previous approaches which identify candidates by utilizin...
This study addresses a long-standing and wellrecognized problem in KM research, namely the lack of a cumulative tradition. This problem is addressed by an intensive and critical r...
: Data integrity of web resources is becoming more and more important with the increasing development of Internet. In the context of active intermediaries, current solution for dat...
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Non-negative matrix factorization (NMF) is a recently developed method for finding parts-based representation of non-negative data such as face images. Although it has successfully...