Pages that link to "Item:Q2676904"

The following pages link to Estimation of a regression function on a manifold by fully connected deep neural networks (Q2676904):

Displaying 7 items.

• Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors (Q553267) (← links)
• A direct approach for function approximation on data defined manifolds (Q2057766) (← links)
• Deep learning Gauss-Manin connections (Q2113261) (← links)
• Analysis of the rate of convergence of fully connected deep neural network regression estimates with smooth activation function (Q2222227) (← links)
• On deep learning as a remedy for the curse of dimensionality in nonparametric regression (Q2313286) (← links)
• Side effects of learning from low-dimensional data embedded in a Euclidean space (Q2687305) (← links)
• Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks (Q5885833) (← links)