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 vector field learning with sparse approximation for mismatch removal (Q75781) (← links)
- Robust EM kernel-based methods for linear system identification (Q259415) (← links)
- Another look at statistical learning theory and regularization (Q280403) (← links)
- Optimal speech motor control and token-to-token variability: a Bayesian modeling approach (Q310158) (← links)
- Estimation of Lyapunov spectrum and model selection for a chaotic time series (Q345496) (← links)
- Distributed parametric and nonparametric regression with on-line performance bounds computation (Q361001) (← links)
- An accelerated procedure for solving binary optimization problems (Q404203) (← links)
- Predicate logic based image grammars for complex pattern recognition (Q408921) (← links)
- Efficient cross-validation for kernelized least-squares regression with sparse basis expansions (Q439007) (← links)
- Bridging logic and kernel machines (Q439018) (← links)
- Support vector machines with applications (Q449731) (← links)
- The use of unlabeled data in predictive modeling (Q449861) (← links)
- Quantile regression with \(\ell_1\)-regularization and Gaussian kernels (Q457695) (← links)
- Bayesian ARTMAP for regression (Q461131) (← links)
- A growing and pruning sequential learning algorithm of hyper basis function neural network for function approximation (Q461158) (← links)
- Kernel methods in system identification, machine learning and function estimation: a survey (Q462325) (← links)
- Sparse plus low rank network identification: a nonparametric approach (Q503197) (← links)
- Semantic-based regularization for learning and inference (Q511774) (← links)
- An analysis of numerical issues in neural training by pseudoinversion (Q520314) (← links)
- Statistical physics of vaccination (Q521790) (← links)
- Topology and simulations of a hierarchical Markovian radial basis function neural network classifier (Q526703) (← links)
- A hybrid approach for the random dynamics of uncertain systems under stochastic loading (Q541455) (← links)
- Learning with generalization capability by kernel methods of bounded complexity (Q558012) (← links)
- Data processing and feature screening in function approximation: An application to neural networks (Q597242) (← links)
- Prediction error identification of linear systems: a nonparametric Gaussian regression approach (Q627072) (← links)
- A numerical method for minimum distance estimation problems (Q632751) (← links)
- Linguistic neurocomputing: The design of neural networks in the framework of fuzzy sets (Q698791) (← links)
- Fast exact leave-one-out cross-validation of sparse least-squares support vector machines (Q705597) (← links)
- Radial basis function network learning using localized generalization error bound (Q730919) (← links)
- Visual RBF network design based on star coordinates (Q834238) (← links)
- New approach to applying neural network in nonlinear dynamic model (Q838199) (← links)
- Accuracy of suboptimal solutions to kernel principal component analysis (Q842769) (← links)
- Training a reciprocal-sigmoid classifier by feature scaling-space (Q851878) (← links)
- Facial expression synthesis using manifold learning and belief propagation (Q855210) (← links)
- Trigonometric RBF neural robust controller design for a class of nonlinear system with linear input unmodeled dynamics (Q872348) (← links)
- Comparing fixed and variable-width Gaussian networks (Q889280) (← links)
- Trends in extreme learning machines: a review (Q889343) (← links)
- Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise (Q889372) (← links)
- A novel hybrid RBF neural networks model as a forecaster (Q892481) (← links)
- Kernel methods in machine learning (Q930651) (← links)
- Analog-symbolic memory that tracks via reconsolidation (Q933431) (← links)
- Nonlinear regression modeling via regularized radial basis function networks (Q947263) (← links)
- Discriminatively regularized least-squares classification (Q955831) (← links)
- Application of the clipping procedure to the binary minimization of a quadratic functional (Q960718) (← links)
- Compared techniques for the critical submergence of an intake in water flow (Q964377) (← links)
- Establishing criteria to ensure successful feedforward artificial neural network modelling of mechanical systems (Q969828) (← links)
- Fast computation of smoothing splines subject to equality constraints (Q976224) (← links)
- From linear to nonlinear identification: one step at a time (Q984196) (← links)
- A new kernel-based approach for linear system identification (Q985267) (← links)
- Machine learning problems from optimization perspective (Q989890) (← links)
