A deep neural network embedded in an adaptive filter maps filtering residuals to learning gradients, with maximum likelihood as implicit cost, claimed to generalize across non-Gaussian noise.
Quantifying Social Motivation in Mice Using Operant Conditioning
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Deep Neural Network-Driven Adaptive Filtering
A deep neural network embedded in an adaptive filter maps filtering residuals to learning gradients, with maximum likelihood as implicit cost, claimed to generalize across non-Gaussian noise.