Abstract. We describe the results of an empirical study comparing an interactive Information Visualization (InfoVis) technique called Gravi++ (GRAVI), Exploratory Data Analysis (ED...
Markus Rester, Margit Pohl, Sylvia Wiltner, Klaus ...
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
Abstract. The Abstract State Machines (ASM) methodology is a methodology for formally specifying computing systems. We use the ASM methodology to give the dynamic semantics of the ...
Abstract. The token flow semantics of UML 2 activity diagrams is formally defined using Abstract State Machines. Interruptible activity regions and multiplicity bounds for pins are...
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...