In this paper, we present a fast and scalable Bayesian model for improving weakly annotated data – which is typically generated by a (semi) automated information extraction (IE) ...
Abstract. We describe a declarative language, called BAD (brain architecture description language), which we have developed for describing and then running brain models. Models are...
Component-based development helps to improve the modularity and reusability of embedded systems. Component models devised for embedded systems are typically restricted due to the l...
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
— The present paper is devoted to the exploration of the properties of the simple spiking neuron model and quantification of the information transfer rate, which the separate neu...