Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
: The present work is devoted to the research of investment projects’ financing issues. Within this paper a data analytical tool for an optimal financing schema computation on th...
Mikhail D. Godlevskiy, Valentina V. Moskalenko, Vl...
Existing estimation approaches for spatial databases often rely on the assumption that data distribution in a small region is uniform, which seldom holds in practice. Moreover, the...
We present a discrete spectral framework for the sparse or cardinality-constrained solution of a generalized Rayleigh quotient. This NPhard combinatorial optimization problem is c...
In this paper, we discuss the problem of generating natural anaphora in assembly instructional texts. We rst present a detailed account of grammatical and lexical anaphora and we e...