This research aims to identify issues associated with the impact of digital technology on the publishing industry with a specific focus on aspects of the sustainability of existin...
We present a discriminative structureprediction model for the letter-to-phoneme task, a crucial step in text-to-speech processing. Our method encompasses three tasks that have bee...
Sittichai Jiampojamarn, Colin Cherry, Grzegorz Kon...
Adaptive neural network is a powerful tool for prediction of air pollution abatement scenarios. But it is often difficult to avoid overfit during the training of adaptive neural n...
This work presents a neural model of self-localisation implemented on a simulated mobile robot with a realistic visual input. A population of modelled place cells with overlapping...
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas S...
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...