We describe the current state of a resource that enables research in the human sciences with differential access rights for experimenters and participants in experiments. We outli...
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
We propose a method for sequential Bayesian kernel regression. As is the case for the popular Relevance Vector Machine (RVM) [10, 11], the method automatically identifies the num...
In this paper, we present e cient algorithms for adjusting con guration parameters of genetic algorithms that operate in a noisy environment. Assuming that the population size is ...
—The subject of extracting high-resolution data from low-resolution images is one of the most important digital processing applications in recent years, attracting much research....