In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
The classification problem of determining if a surveillance camera sees persons is tackled with two neural models: the Self-Organizing Map (SOM) with supervision as in a classical ...
We propose a two-pha.se algorithm for physical database design. In phase one the algorithm, for each logical query, losesrules to determine characteristics of a physical design (s...
: Nowadays, the UML language is one of the most widely accepted software modelling language. Enterprise modelling is concerned with the externalisation of knowledge about the en...
Modeling requires considerable knowledge of the various stages of the simulation process. The modeler needs to know a great deal of the system to be modeled (domain specific knowl...