Domain Specific Modeling (DSM) has been used for a while in many scenarios, case studies, and applications successfully. This paper intends to present a new application of DSM for ...
Syed Imran, Ioannis M. Dokas, John Feehan, Francli...
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
The family of domain algebras provide an elegant formal system for automated reasoning about programme verification. Their primary models are algebras of relations, viz. represen...
Organizations are adopting multiple best practices models to improve overall performance. Their objective is to capture the cumulative added value of each model into one single env...
Abstract--In this paper, we introduce a novel approach for improved nonlinear system identification in the short-time Fourier transform (STFT) domain. We first derive explicit repr...