Pages that link to "Item:Q3101316"
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The following pages link to Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks (Q3101316):
Displaying 50 items.
- Regularized multiple-set canonical correlation analysis (Q998844) (← links)
- Wavelet estimation by Bayesian thresholding and model selection (Q999035) (← links)
- Mitochondrial SNPs associated with Japanese centenarians, Alzheimer's patients, and Parkinson's patients (Q1004868) (← links)
- Using radial basis function networks and significance testing to select effective siRNA sequences (Q1020757) (← links)
- Modelling public transport trips by radial basis function neural networks (Q1025691) (← links)
- Optimal interpolation of gravity maps using a modified neural network (Q1028777) (← links)
- A neurofuzzy approach to variational problems by using Gaussian membership functions (Q1125769) (← links)
- Dual adaptive control of nonlinear stochastic systems using neural networks (Q1129691) (← links)
- Inversion of Fredholm integral equations of the first kind with fully connected neural networks (Q1188061) (← links)
- Neural networks for control systems - a survey (Q1195800) (← links)
- Decision theoretic generalizations of the PAC model for neural net and other learning applications (Q1198550) (← links)
- Approximation by superposition of sigmoidal and radial basis functions (Q1201935) (← links)
- From basis functions to basis fields: Vector field approximation from sparse data (Q1202326) (← links)
- Vector field approximation: A computational paradigm for motor control and learning (Q1202328) (← links)
- Some extensions of radial basis functions and their applications in artificial intelligence (Q1207559) (← links)
- Improved accuracy of multiquadric interpolation using variable shape parameters (Q1207562) (← links)
- On simultaneous approximations by radial basis function neural networks (Q1294160) (← links)
- Geometric selection of centers for radial basis function approximations involved in intensive computer simulations (Q1300477) (← links)
- Complementarity and equivalence relationships between convex fuzzy systems with symmetry restrictions and wavelets (Q1302244) (← links)
- Representing three-dimensional objects by sets of activities of receptive fields (Q1310578) (← links)
- Recognition of 3D flexible objects by GRBF (Q1323585) (← links)
- Dynamic sizing of multilayer perceptrons (Q1328141) (← links)
- The numerical solution of linear ordinary differential equations by feedforward neural networks (Q1334712) (← links)
- Nonlinear modeling and prediction by successive approximation using radial basis functions (Q1335306) (← links)
- Extending the smoothing spline estimate (Q1339848) (← links)
- A new adaptive polynomial neural network (Q1341346) (← links)
- Solution of nonlinear ordinary differential equations by feedforward neural networks (Q1344634) (← links)
- On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size (Q1345261) (← links)
- Topological feature maps with self-organized lateral connections: A population-coded, one-layer model of associative memory (Q1346042) (← links)
- System impulse response identification using a multiresolution neural network (Q1367189) (← links)
- Approximation of function and its derivatives using radial basis function networks (Q1401070) (← links)
- Geometric preprocessing and neurocomputing for pattern recognition and pose estimation. (Q1425985) (← links)
- Approximation properties of local bases assembled from neural network transfer functions (Q1596850) (← links)
- Robust fuzzy control of nonlinear systems using shape-adaptive radial basis functions (Q1602858) (← links)
- BEM-NN computation of generalised Newtonian flows (Q1604021) (← links)
- Efficient input-output model representations (Q1613790) (← links)
- On the stability of reproducing kernel Hilbert spaces of discrete-time impulse responses (Q1626948) (← links)
- The generalized cross validation filter (Q1640724) (← links)
- Improving nonlinear modeling capabilities of functional link adaptive filters (Q1669146) (← links)
- Many regression algorithms, one unified model: a review (Q1669152) (← links)
- OCReP: an optimally conditioned regularization for pseudoinversion based neural training (Q1669179) (← links)
- Mesh-based and meshless design and approximation of scalar functions (Q1686338) (← links)
- Machine learning of linear differential equations using Gaussian processes (Q1694641) (← links)
- Hidden physics models: machine learning of nonlinear partial differential equations (Q1699464) (← links)
- A neural network method for nonlinear time series analysis (Q1726175) (← links)
- A mixed-integer programming approach to GRNN parameter estimation (Q1749962) (← links)
- Function approximation on non-Euclidean spaces (Q1763473) (← links)
- Approximation analysis of feedforward regular fuzzy neural network with two hidden layers (Q1770735) (← links)
- Efficient exploration through active learning for value function approximation in reinforcement learning (Q1784573) (← links)
- System identification using kernel-based regularization: new insights on stability and consistency issues (Q1797024) (← links)
