One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
This paper presents a new framework for accumulating beliefs in spoken dialogue systems. The technique is based on updating a Bayesian Network that represents the underlying state...
The popularity of object-oriented programming has led to the wide use of container libraries. It is important for the reliability of these containers that they are tested adequate...
Willem Visser, Corina S. Pasareanu, Radek Pel&aacu...
This article presents an efficient approach to eye movement estimation by combining color and energy based image analysis algorithms. The movement is first analyzed and then descr...
— This paper presents a novel distributed estimation algorithm based on the concept of moving horizon estimation. Under weak observability conditions we prove convergence of the ...