We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
This study analyses how the reduction of the look-ahead length of a two pass phonetic decoder influences the alignment of the segment boundaries. It is shown how the optimization ...
— In this paper a robotic catching algorithm based on a nonlinear mapping of visual information to the desired trajectory is proposed. The nonlinear mapping is optimized by learn...
Effective modeling and management of hardware resources have always been critical toward generating highly efficient code in static compilers. With Just-In-Time compilation and dy...
In this paper, we study the dynamical properties of the population based incremental learning (PBIL) algorithm when it uses truncation, proportional, and Boltzmann selection schema...