Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
The main motivation for applying capacity planning techniques to the design of Internet-based video services is that very often these systems incur significant delays that decrea...
Giuliano Casale, Paolo Cremonesi, Giuseppe Serazzi...
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
The work presents a modeling and analysis framework for heterogeneous industrial networks architectures which is based on a tight integration of a network simulator with embedded ...
Franco Fummi, Stefano Martini, Marco Monguzzi, Gio...
- Estimation tools are a key component of system-level methodologies, enabling a fast design space exploration. Estimation of software performance is essential in current software-...