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Tommaso Dorigo (Universita e INFN, Padova (IT))01/09/2022, 15:30Talk
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Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE))01/09/2022, 16:00Lecture
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Tommaso Dorigo (Universita e INFN, Padova (IT))07/09/2022, 09:25Mini-workshop on Machine Learning for Particle PhysicsTalk
We demonstrate how a nearest-neighbor algorithm can be endowed with a large number of free parameters by assigning weights and biases to all training events. The simultaneous optimization of the large number of parameters by gradient descent allows to obtain similar performances to those of neural networks or boosted decision trees, although at a much higher CPU price.
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