When assessing reported classification results based on selection of members from a database (e.g. a face database), one would like to know what is an achievable classification ra...
This paper presents the findings of an extensive measurement study on multiple commercial third-generation (3G) networks. We have investigated the performance of those 3G networks ...
Most of what we know about multiple classifier systems is based on empirical findings, rather than theoretical results. Although there exist some theoretical results for simple and...
Learning from experience is a basic task of human brain that is not yet fulfilled satisfactorily by computers. Therefore, in recent years to cope with this issue, bio-inspired app...
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...