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Seminar Details


Date 7-10-2009
Time 14:30
Room/Location Sala conferenze DISI, 3 piano
Title Model complexity of neural networks and integral transforms
Speaker Vera Kurkova
Affiliation Institute of Computer Science, Academy of Sciences of Czech Republic, Prague
Link https://www.disi.unige.it/index.php?eventsandseminars/seminars
Abstract Model complexity of neural networks is investigated using tools from nonlinear approximation and integration theory. Estimates of network complexity are obtained from inspection of upper bounds on decrease of approximation errors in approximation of multivariable functions by networks with increasing numbers of units. The upper bounds are derived using integral transforms with kernels corresponding to various types of computational units. The results are applied to perceptron and Gaussian radial networks.
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