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Industrial design and engineering, as well as healthcare, are facing unprecedented challenges with product complexity and increasingly faster innovation cycles. On the one hand, advances in computer m...
In recent years, artificial neural networks a.k.a. deep learning have significantly improved the fields of computer vision, speech recognition, and natural language processing. The success relies on t...
The main objective of this conference is to bring together mathematicians and scientists world-wide interested in learning and approximation in the broadest sense. Topics include approximation theory,...
With development in communication and information technology and fast distribution of personal computers, the use of technology in training has improved. The foundation of mathematics educational fiel...
We investigate fast methods that allow to quickly eliminate variables (features) in supervised learning problems involving a convex loss function and a l1-norm penalty, leading to a potentially subst...
Learning of the feedforward multilayer perceptron (MLP) networks is to adapt all synaptic weights in such a way that the discrepancy between the actual output signals and the desired signals, averaged...
About 15 colleagues at King’s, plus a local education authority adviser and two teacher researchers are currently involved with me in the Leverhulme Numeracy Research Programme. The programme aims ...

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