In any learnability setting, hypotheses are conjectured from some hypothesis space. Studied herein are the influence on learnability of the presence or absence of certain control ...
The main focus of this paper is to present a method of reusing motion captured data by learning a generative model of motion. The model allows synthesis and blending of cyclic moti...
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
: Business-IT alignment for software specifications means that the specifications have to be aligned with business goals. In the SIKOSA research project, we developed the SIKOSA me...
Abstract: Engineering personalized ubiquitous Web applications requires to develop adaptable Web content as well as to automatically adjust it to varying client devices and dynamic...