Background: In order to compute pattern statistics in computational biology a Markov model is commonly used to take into account the sequence composition. Usually its parameter mu...
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
Today, many software-based, reactive systems offer a multitude of functionality. One way to master the development of such a system is to model its functionality on an abstract le...
Alexander Gruler, Alexander Harhurin, Judith Hartm...
This paper initiates a framework for improving product development processes. The starting point is the present gap between the theory of product and process models and their actu...
Simulation modeling provides an effective and powerful approach for capturing and analyzing complex manufacturing systems. More and more decisions are based on computer generated ...