Pages that link to "Item:Q1968643"
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The following pages link to On the near optimality of the stochastic approximation of smooth functions by neural networks (Q1968643):
Displaying 26 items.
- On sharpness of error bounds for univariate approximation by single hidden layer feedforward neural networks (Q777322) (← links)
- Convergence analysis of convex incremental neural networks (Q1029589) (← links)
- On best approximation by ridge functions (Q1300146) (← links)
- On the approximation of functional classes equipped with a uniform measure using ridge functions (Q1300147) (← links)
- Saturation classes for MAX-product neural network operators activated by sigmoidal functions (Q1682591) (← links)
- Some problems in the theory of ridge functions (Q1798075) (← links)
- On best approximation of classes by radial functions (Q1867260) (← links)
- Asymptotic expansion for neural network operators of the Kantorovich type and high order of approximation (Q2023320) (← links)
- A selective overview of deep learning (Q2038303) (← links)
- Linearized two-layers neural networks in high dimension (Q2039801) (← links)
- Approximation rates for neural networks with encodable weights in smoothness spaces (Q2055067) (← links)
- Measurement error models: from nonparametric methods to deep neural networks (Q2092892) (← links)
- Voronovskaja type theorems and high-order convergence neural network operators with sigmoidal functions (Q2178844) (← links)
- Probabilistic lower bounds for approximation by shallow perceptron networks (Q2181058) (← links)
- Error bounds for approximations with deep ReLU networks (Q2292227) (← links)
- Approximation by neural networks and learning theory (Q2489152) (← links)
- (Q4394593) (← links)
- Quantitative estimates involving <i>K</i>-functionals for neural network-type operators (Q5197961) (← links)
- Error bounds for approximation with neural networks (Q5959036) (← links)
- On sharpness of error bounds for multivariate neural network approximation (Q6060396) (← links)
- Approximation error for neural network operators by an averaged modulus of smoothness (Q6093307) (← links)
- Approximation bounds for random neural networks and reservoir systems (Q6103961) (← links)
- Error bounds for approximations using multichannel deep convolutional neural networks with downsampling (Q6155792) (← links)
- Meshless methods for American option pricing through physics-informed neural networks (Q6158655) (← links)
- Solving groundwater flow equation using physics-informed neural networks (Q6176691) (← links)
- On the representability of a continuous multivariate function by sums of ridge functions (Q6632950) (← links)
