Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eļ¬...
This study reports the work to date on the analysis of diļ¬erent methodologies for constant creation with the aim of applying the most advantageous method to the dynamic real wor...
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classiļ¬er Systems research. This framework is mostly used in the context ...
Uncertainty is a very important concern in production scheduling since it can cause infeasibilities and production disturbances. Thus scheduling under uncertainty has received a l...