Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...
Tool installation and automation of administrative tasks in heterogeneous computer networks becomes of increasing importance with the availability of complex heterogeneous compute...
Web Services are an XML technology recently viewed as capable of being used for network management. A key aspect of WS in this domain is event reporting. WS-based research in this ...
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...