The paper illustrates a linguistic knowledge acquisition model making use of data types, innite memory, and an inferential mechanism for inducing new information from known data. ...
Paolo Allegrini, Simonetta Montemagni, Vito Pirrel...
In a serverless cluster of PCs or workstations, the cluster must allow remote file accesses or parallel I/O directly performed over disks distributed to all client nodes. We intro...
In this paper we address the issue of dependable distributed high performance computing in the field of Symbolic Computation. We describe the extension of a middleware infrastructu...
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...