— Probabilistic models are widely used to analyze embedded, networked, and more recently biological systems. Existing numerical analysis techniques are limited to finitestate mo...
The central idea in reference modeling is the reutilization of the business knowledge contained in a reference model. The user's task in reference model-based construction is ...
—With the advent of the Internet, we have entered the age of ubiquitous systems that will need to be able to communicate, establish criteria for measurement and then perform thes...
In this paper, a competition-based connectionist model for diagnostic problem-solving is adapted to information retrieval. In this model, we treat documents as \disorders" an...
We consider the use of Bayesian topic models in the analysis of computer network traffic. Our approach utilizes latent Dirichlet allocation and time-varying dynamic latent Dirich...