A fuzzy c-means algorithm was adapted for analyzing microarray data. The adaptation consisted of initialization of fuzzy centroids using gene ontology information and the use of P...
Mingrui Zhang, Terry M. Therneau, Michael A. McKen...
Decision making is an important issue in robot soccer, which has not been investigated deeply enough by the RoboCup research community. This paper proposes a probabilistic approach...
Pablo Guerrero, Javier Ruiz-del-Solar, Gonzalo D&i...
This paper deals with problems of computer networks survivability. We present and discuss survivability aspects of Content Delivery Networks (CDNs) and other services based on the ...
Several aspect languages and frameworks have recognized the need for dynamic deployment of aspects. However, they do not provide sufficiently expressive means to precisely specify...
In this paper, a similarity-driven cluster merging method is proposed for unsupervised fuzzy clustering. The cluster merging method is used to resolve the problem of cluster valid...