Model Based Testing (MBT) is a functional testing technique that makes use of information from behavioral models of the software to carry out the testing task. This technique has b...
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Mobility and channel modeling is a very crucial task for the simulation of Vehicular Ad Hoc Network (VANET) scenarios. In this paper we present a new mobility modeling approach fo...
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 ...
The eventual goal of a language model is to accurately predict the value of a missing word given its context. We present an approach to word prediction that is based on learning a...