Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
This article deals with an approach for managing scheduling in semiconductor manufacturing facilities. The proposed approach ensures consistency between global and local schedulin...
Using a B-spline representation for splines with knots seen as free variables, the approximation to data by splines improves greatly. The main limitations are the presence of too ...
Clustering in gene expression data sets is a challenging problem. Different algorithms for clustering of genes have been proposed. However due to the large number of genes only a ...
In this paper, we present Nache, a caching proxy for NFSv4 that enables a consistent cache of a remote NFS server to be maintained and shared across multiple local NFS clients. Na...