One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
This paper describes lessons learned in developing the linguistic, cognitive, emotional, and gestural models underlying virtual human behavior in a training application designed t...
Robert C. Hubal, Geoffrey A. Frank, Curry I. Guinn
198 Triangles Std. Wire Frame 2 Triangles 32×32 Texture Finite element models used in crash worthiness simulations now contain more than one million mostly quadrilateral elements...
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
The verification of quantitative aspects like performance and dependability by means of model checking has become an important and vivid area of research over the past decade. An ...
Stefan Blom, Boudewijn R. Haverkort, Matthias Kunt...