Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
The FermaT transformation system, based on research carried out over the last twelve years at Durham University and Software Migrations Ltd., is an industrial-strength formal tran...
Abstract. Transforming constraint models is an important task in recent constraint programming systems. User-understandable models are defined during the modeling phase but rewriti...
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, Jo...
We present a mechanism to derivate products of Software Product Lines (SPLs) using decision models. Our approach to create SPLs is based on Model Driven Engineering principles. It ...