This paper describes the development of a software tool for detection of vulnerabilities in networked systems, using public available security resources. Our tool builds is knowle...
Abstract-- Information about the topology and link-level characteristics of a network is critical for many applications including network diagnostics and management. However, this ...
Usually, semantics of inheritance networks is specified indirectly through a translation into one of the standard logical formalisms. Since such translation involves an algorithmi...
Krishnaprasad Thirunarayan, Michael Kifer, David S...
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...