In the paper the problem of processor/compiler codesign for digital signal processing and embedded SYstems is discussed. The main principle we follow is the top-down approach char...
We examine the problem of Transfer in Reinforcement Learning and present a method to utilize knowledge acquired in one Markov Decision Process (MDP) to bootstrap learning in a mor...
— The share of software in embedded systems has been growing permanently in the recent years. Thus, software architecture as well as its evaluation have become important parts of...
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Like Darwinian-type genetic algorithms, there also exists genetic drift in Univariate Marginal Distribution Algorithm (UMDA). Since the universal analysis of genetic drift in UMDA...