This paper analyses the Contrastive Divergence algorithm for learning statistical parameters. We relate the algorithm to the stochastic approximation literature. This enables us t...
Abstract. Current multicore computers differ in many hardware aspects. Tuning parallel applications is indispensable to achieve best performance on a particular hardware platform....
Frank Otto, Christoph A. Schaefer, Matthias Dempe,...
This paper concerns the reconstruction of the absorption and scattering parameters in a time-dependent linear transport equation from full knowledge of the albedo operator at the ...
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...