This monograph is about discrete energy minimization for discrete graphical models. It considers graphical models, or, more precisely, maximum a posteriori infe

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computati

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making deci

This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classif

A useful introduction to this topic for both students and researchers, with an emphasis on applications and practicalities rather than on a formal development.