High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
This work addresses selected aspects of natural evolution, especially of the field of population genetics, that are considered to be meaningful for algorithmic further development...
Michael Affenzeller, Stefan Wagner 0002, Stephan M...
To create a robot with a mind of its own, we extended a formalized version of a model that explains affect-driven interaction with mechanisms for goaldirected behavior. We ran sim...
Johan F. Hoorn, Matthijs Pontier, Ghazanfar F. Sid...
Our work is driven by one of the core purposes of artificial intelligence: to develop real robotic agents that achieve complex high-level goals in real-time environments. Robotic ...
—We present the STORIES methods and tool for (a) an abstracted story representation from a collection of time-indexed documents; (b) visualising it in a way that encourages users...