Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
— A formal methodology for the analysis of a closed loop clock distribution and active deskewing network is proposed. In this paper an active clock distribution and deskewing net...
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
In the recent years, the Web has been rapidly “deepened” with the prevalence of databases online. On this deep Web, many sources are structured by providing structured query i...
An extension to action systems is presented facilitating the modeling of continuous behavior in the discrete domain. The original action system formalism has been developed by Back...
Bernhard K. Aichernig, Harald Brandl, Willibald Kr...