The problem of subsampling in two-sample and K-sample settings is addressed where both the data and the statistics of interest take values in general spaces. We focus on the case ...
A quasistatic evolution problem for a phase transition model with nonconvex energy density is considered in terms of Young measures. We focus on the particular case of a finite num...
Mobile learning exposes learning to the natural environment. If this environment is large, the learners have to navigate to find the learning objects or to explore the environment...
Actor agents in a virtual reality and interactive drama must deliver a believable performance. This is challenging and many issues need to be resolved. One prominent problem is tha...
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...