Universiteit van Amsterdam

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Institute for Logic, Language and Computation

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22 October 2003, Learning Solutions 2003: Adaptive Intelligence in research and practical applications, Radboud Auditorium, Nijmegen, the Netherlands

Date: Wednesday 22 October 2003
Location: Radboud Auditorium, Nijmegen, the Netherlands

Neural networks are computer programs that are able to learn. Their functioning is inspired by the function of the brain. The value added by neural networks is strongest for those problems that lack explicit knowledge. A large number of neural network aided applications has already been realized. Well-known applications are pattern recognition, time series prediction, and process control. Neural networks do not always produce the best solution, however. Better solutions are therefore often obtained through a combination with explicit domain knowledge. Bayesian statistics offers an elegant formalism to combine learning and explicit modeling. Furthermore, statistical methods for quantification of reliability are of great importance. A modern trend is therefore marked by an integrated approach that combines neural networks with methods from statistics and artificial intelligence. The symposium 'Learning Solutions 2003' offers an up-to-date overview of Dutch research in this area.

For more information, see http://www.snn.kun.nl/nederland/index.php3?page=15

Please note that this newsitem has been archived, and may contain outdated information or links.