Pages that link to "Item:Q4277151"
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The following pages link to Universal approximation bounds for superpositions of a sigmoidal function (Q4277151):
Displaying 50 items.
- Regularized vector field learning with sparse approximation for mismatch removal (Q75781) (← links)
- Greedy algorithms for prediction (Q265302) (← links)
- On the curse of dimensionality in the Ritz method (Q274083) (← links)
- Another look at statistical learning theory and regularization (Q280403) (← links)
- Approximation by max-product neural network operators of Kantorovich type (Q287317) (← links)
- Adaptive importance sampling for control and inference (Q290478) (← links)
- Linear and nonlinear approximation of spherical radial basis function networks (Q290797) (← links)
- Analog quantum computing (AQC) and the need for time-symmetric physics (Q291575) (← links)
- Approximation by network operators with logistic activation functions (Q299680) (← links)
- Rescaled pure greedy algorithm for Hilbert and Banach spaces (Q326773) (← links)
- Convergence and rate of convergence of some greedy algorithms in convex optimization (Q338510) (← links)
- Convergence of orthogonal greedy algorithm with errors in projectors (Q355338) (← links)
- Solving Volterra integral equations of the second kind by sigmoidal functions approximation (Q380221) (← links)
- Approximation by neural networks with sigmoidal functions (Q381075) (← links)
- Designing neural networks for modeling biological data: a statistical perspective (Q395741) (← links)
- A comparison between fixed-basis and variable-basis schemes for function approximation and functional optimization (Q411092) (← links)
- Accuracy of approximations of solutions to Fredholm equations by kernel methods (Q433295) (← links)
- Estimation of approximating rate for neural network in \(L^p_w\) spaces (Q442994) (← links)
- The plane wave method for inverse problems associated with Helmholtz-type equations (Q443235) (← links)
- Can dictionary-based computational models outperform the best linear ones? (Q456017) (← links)
- Approximation results for neural network operators activated by sigmoidal functions (Q459444) (← links)
- Multivariate neural network operators with sigmoidal activation functions (Q460677) (← links)
- Universal approximation by radial basis function networks of Delsarte translates (Q461175) (← links)
- Generalization ability of fractional polynomial models (Q461189) (← links)
- Global adaptive smoothing regression (Q485932) (← links)
- Schwarz iterative methods: infinite space splittings (Q530579) (← links)
- Parametric identification of structured nonlinear systems (Q534286) (← links)
- Exponential screening and optimal rates of sparse estimation (Q548534) (← links)
- Some comparisons of complexity in dictionary-based and linear computational models (Q553254) (← links)
- Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors (Q553267) (← links)
- Multivariate sigmoidal neural network approximation (Q553274) (← links)
- Simultaneous greedy approximation in Banach spaces (Q558004) (← links)
- Approximation on anisotropic Besov classes with mixed norms by standard information (Q558005) (← links)
- Learning with generalization capability by kernel methods of bounded complexity (Q558012) (← links)
- Minimizing sequences for a family of functional optimal estimation problems (Q613600) (← links)
- The errors of simultaneous approximation of multivariate functions by neural networks (Q640515) (← links)
- The ridge function representation of polynomials and an application to neural networks (Q644645) (← links)
- Vector greedy algorithms (Q652444) (← links)
- Radial basis function networks: Generalization in over-realizable and unrealizable scenarios (Q676295) (← links)
- Density estimation through convex combinations of densities: Approximation and estimation bounds (Q676599) (← links)
- Convergence properties of cascade correlation in function approximation. (Q676876) (← links)
- Deviation optimal learning using greedy \(Q\)-aggregation (Q693750) (← links)
- New insights into Witsenhausen's counterexample (Q694180) (← links)
- Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling (Q711389) (← links)
- On sharpness of error bounds for univariate approximation by single hidden layer feedforward neural networks (Q777322) (← links)
- Deep learning observables in computational fluid dynamics (Q777521) (← links)
- Variational training of neural network approximations of solution maps for physical models (Q778301) (← links)
- Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks (Q825483) (← links)
- Machine learning from a continuous viewpoint. I (Q829085) (← links)
- Accuracy of suboptimal solutions to kernel principal component analysis (Q842769) (← links)
