Abstract. A class of probabilistic-logic models is considered, which increases the expressibility from HMM's and SCFG's regular and contextfree languages to, in principle...
With the advent of System-On-Chip (SOC) technology, there is a pressing need to enhance the quality of ools available and increase the level of abstraction at which hardware is des...
Graphs and graph transformation systems are a frequently used modelling technique for a wide range of different domains, covering areas as diverse as refactorings, network topolog...
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a “prog...
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, ...