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Regularization Theory and Neural Networks Architectures
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Scattered data interpolation: tests of some methods
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Networks for approximation and learning
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Neural Networks and Related Methods for Classification
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Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks
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Multivariate Smoothing Spline Functions
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On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
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Neural Networks and the Bias/Variance Dilemma
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Linear Smoothers and Additive Models
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Spline Smoothing and Nonparametric Regression.
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inferred← citeshttps://doi.org/10.1007/978-1-4471-1520-5_13openalex-snapshot
Image Reconstruction Using A Hierarchical RBF Network Architecture
inferred← citeshttps://doi.org/10.1007/978-1-4471-1523-6_13openalex-snapshot
Approximation of Smooth Functions by Neural Networks
inferred← citeshttps://doi.org/10.1007/978-1-4471-1523-6_15openalex-snapshot
Recent Results and Mathematical Methods for Functional Approximation by Neural Networks
inferred← citeshttps://doi.org/10.1007/978-1-4471-1523-6_4openalex-snapshot
A Tutorial on the EM Algorithm and Its Applications to Neural Network Learning
inferred← citeshttps://doi.org/10.1007/978-1-4471-1599-1_116openalex-snapshot
Automatic neural generalized font identification
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The Extended Ritz Method in Stochastic Functional Optimization: An example of Dynamic Routing in Traffic Networks
inferred← citeshttps://doi.org/10.1007/978-1-4614-5632-2openalex-snapshot
3D Surface Reconstruction: Multi-Scale Hierarchical Approaches
inferred← citeshttps://doi.org/10.1007/978-1-4614-5632-2_4openalex-snapshot
Surface fitting as a regression problem
inferred← citeshttps://doi.org/10.1007/978-1-4614-5632-2_5openalex-snapshot
Hierarchical Radial Basis Functions Networks
inferred← citeshttps://doi.org/10.1007/978-1-4614-5632-2_6openalex-snapshot
Hierarchical Support Vector Regression
inferred← citeshttps://doi.org/10.1007/978-1-4614-6585-0_12openalex-snapshot
Linear/Nonlinear Reduced-Order Substructuring for Uncertainty Quantification and Predictive Accuracy Assessment
inferred← citeshttps://doi.org/10.1007/978-1-4615-6099-9_47openalex-snapshot
On Smooth Activation Functions
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Regression with Gaussian Processes
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Complexity Control and Generalization in Multilayer Perceptrons
inferred← citeshttps://doi.org/10.1007/978-1-4939-0600-0_7openalex-snapshot
Nonrigid Object Segmentation: Application to Four-Chamber Heart Segmentation
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Chemogenomic Approaches to Infer Drug–Target Interaction Networks
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SiLVR: Projection Pursuit for Response Surface Modeling
inferred← citeshttps://doi.org/10.1007/978-3-030-14802-7_35openalex-snapshot
Advanced Neural Network Approach, Its Explanation with LIME for Credit Scoring Application
inferred← citeshttps://doi.org/10.1007/978-3-030-16841-4_7openalex-snapshot
Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions
inferred← citeshttps://doi.org/10.1007/978-3-030-20912-4_13openalex-snapshot
On Learning and Convergence of RBF Networks in Regression Estimation and Classification
inferred← citeshttps://doi.org/10.1007/978-3-030-29693-3_3openalex-snapshot
Some Families of FSP Functions and Their Properties
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On the Bounds of Function Approximations
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Learning Activation Functions by Means of Kernel Based Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-47439-3_16openalex-snapshot
Gaussian Process Models (GPMs)
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ValveCare: A Fuzzy Based Intelligent Model for Predicting Heart Diseases Using Arduino Based IoT Infrastructure
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Machine Learning Control Design for Elastic Composite Materials
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Optimizing the Neural Architecture of Reinforcement Learning Agents
inferred← citeshttps://doi.org/10.1007/978-3-030-83917-8_14openalex-snapshot
Simulation Modeling Using Neural Networks to Control Complex Technical Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-87234-2_2openalex-snapshot
Learning-Based Attenuation Quantification in Abdominal Ultrasound
inferred← citeshttps://doi.org/10.1007/978-3-030-95860-2openalex-snapshot
Regularized System Identification
inferred← citeshttps://doi.org/10.1007/978-3-030-95860-2_4openalex-snapshot
Bayesian Interpretation of Regularization
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Regularization in Reproducing Kernel Hilbert Spaces
inferred← citeshttps://doi.org/10.1007/978-3-030-95860-2_7openalex-snapshot
Regularization in Reproducing Kernel Hilbert Spaces for Linear System Identification
inferred← citeshttps://doi.org/10.1007/978-3-031-00311-0_8openalex-snapshot
Developments in Computer Science and Technical Applications
inferred← citeshttps://doi.org/10.1007/978-3-031-12638-3_26openalex-snapshot
Augmentations: An Insight into Their Effectiveness on Convolution Neural Networks
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Convergence of RBF Networks Regression Function Estimates and Classifiers
inferred← citeshttps://doi.org/10.1007/978-3-031-62963-1_2openalex-snapshot
Artificial Intelligence for Space Weather Prediction
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On a Multilevel Preconditioner and its Condition Numbers for the Discretized Laplacian on Full and Sparse Grids in Higher Dimensions
inferred← citeshttps://doi.org/10.1007/978-3-319-01321-3_7openalex-snapshot
Breaking Dimensions: Adaptive Scoring with Sparse Grids
inferred← citeshttps://doi.org/10.1007/978-3-319-07173-2_15openalex-snapshot
Boundedness of Weight Elimination for BP Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-10554-3_24openalex-snapshot
Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices
inferred← citeshttps://doi.org/10.1007/978-3-319-10840-7_19openalex-snapshot
A Novel Recursive Kernel-Based Algorithm for Robust Pattern Classification
inferred← citeshttps://doi.org/10.1007/978-3-319-11656-3_2openalex-snapshot
A Decorrelation Approach for Pruning of Multilayer Perceptron Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-12436-0_31openalex-snapshot
Early-Stopping Regularized Least-Squares Classification
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A Fast Incremental Method Based on Regularized Extreme Learning Machine
inferred← citeshttps://doi.org/10.1007/978-3-319-18476-0_25openalex-snapshot
Integrating Grid Template Patterns and Multiple Committees of Neural Networks in Forex Market
inferred← citeshttps://doi.org/10.1007/978-3-319-19324-3_12openalex-snapshot
Product Multi-kernels for Sensor Data Analysis
inferred← citeshttps://doi.org/10.1007/978-3-319-21819-9_8openalex-snapshot
Regularized Linear and Nonlinear Autoregressive Models for Dengue Confirmed-Cases Prediction
inferred← citeshttps://doi.org/10.1007/978-3-319-22979-9_27openalex-snapshot
Knowledge Transfer in Deep Block-Modular Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-23983-5_13openalex-snapshot
Multithreaded Local Learning Regularization Neural Networks for Regression Tasks
inferred← citeshttps://doi.org/10.1007/978-3-319-25783-9_42openalex-snapshot
Detecting Methane Outbreaks from Time Series Data with Deep Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-26555-1_64openalex-snapshot
Forecasting Bike Sharing Demand Using Fuzzy Inference Mechanism
inferred← citeshttps://doi.org/10.1007/978-3-319-33201-7_5openalex-snapshot
Energy Efficient RRAM Crossbar-Based Approximate Computing for Smart Cameras
inferred← citeshttps://doi.org/10.1007/978-3-319-59063-9_10openalex-snapshot
Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification
inferred← citeshttps://doi.org/10.1007/978-3-319-64689-3_15openalex-snapshot
Twin Deep Convolutional Neural Network for Example-Based Image Colorization
inferred← citeshttps://doi.org/10.1007/978-3-319-66402-6_6openalex-snapshot
Source Code Authorship Attribution Using Long Short-Term Memory Based Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-68456-7_17openalex-snapshot
A Regularization Post Layer: An Additional Way How to Make Deep Neural Networks Robust
inferred← citeshttps://doi.org/10.1007/978-3-319-91253-0_12openalex-snapshot
Learning and Convergence of the Normalized Radial Basis Functions Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-96941-1_8openalex-snapshot
A Nonparametric Classification Algorithm Based on Optimized Templates
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Multi-source Interactive Behavior Analysis for Continuous User Authentication on Smartphones
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Exploring Potential of Leave-One-Out Estimator for Calibration of SVM in Text Mining
inferred← citeshttps://doi.org/10.1007/978-3-540-24844-6_30openalex-snapshot
Combining Space-Filling Curves and Radial Basis Function Networks
inferred← citeshttps://doi.org/10.1007/978-3-540-28647-9_43openalex-snapshot
A Learning Algorithm with Gaussian Regularizer for Kernel Neuron
inferred← citeshttps://doi.org/10.1007/978-3-540-30549-1_44openalex-snapshot
The Effect of Attribute Scaling on the Performance of Support Vector Machines
inferred← citeshttps://doi.org/10.1007/978-3-540-35866-4_18openalex-snapshot
Complexity of Predictive Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-540-39804-2_26openalex-snapshot
Exploring Fringe Settings of SVMs for Classification
inferred← citeshttps://doi.org/10.1007/978-3-540-45167-9_6openalex-snapshot
Bhattacharyya and Expected Likelihood Kernels
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A Deterministic Learning Approach Based on Discrepancy
inferred← citeshttps://doi.org/10.1007/978-3-540-68860-0_3openalex-snapshot
Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family
inferred← citeshttps://doi.org/10.1007/978-3-540-69731-2_11openalex-snapshot
Nonlinear Function Learning Using Radial Basis Function Networks: Convergence and Rates
inferred← citeshttps://doi.org/10.1007/978-3-540-71629-7_6openalex-snapshot
Properties of the Hermite Activation Functions in a Neural Approximation Scheme
inferred← citeshttps://doi.org/10.1007/978-3-540-71701-0_35openalex-snapshot
On a New Class of Framelet Kernels for Support Vector Regression and Regularization Networks
inferred← citeshttps://doi.org/10.1007/978-3-540-71984-7_13openalex-snapshot
Generalization in Learning from Examples
inferred← citeshttps://doi.org/10.1007/978-3-540-71984-7_14openalex-snapshot
A Trend on Regularization and Model Selection in Statistical Learning: A Bayesian Ying Yang Learning Perspective
inferred← citeshttps://doi.org/10.1007/978-3-540-72031-7_37openalex-snapshot
Predicting Palmitoylation Sites Using a Regularised Bio-basis Function Neural Network
inferred← citeshttps://doi.org/10.1007/978-3-540-72383-7_68openalex-snapshot
Spectral Correspondence Using the TPS Deformation Model
inferred← citeshttps://doi.org/10.1007/978-3-540-73040-8_26openalex-snapshot
Regularized Neighborhood Component Analysis
inferred← citeshttps://doi.org/10.1007/978-3-540-73871-8_39openalex-snapshot
Optimum Neural Network Construction Via Linear Programming Minimum Sphere Set Covering
inferred← citeshttps://doi.org/10.1007/978-3-540-74565-5_49openalex-snapshot
Concept for Controlled Self-optimization in Online Learning Neuro-fuzzy Systems
inferred← citeshttps://doi.org/10.1007/978-3-540-74690-4_30openalex-snapshot
The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization
inferred← citeshttps://doi.org/10.1007/978-3-540-74819-9_8openalex-snapshot
Online Training of Hierarchical RBF
inferred← citeshttps://doi.org/10.1007/978-3-540-85930-7_38openalex-snapshot
On Improved Performance Index Function with Enhanced Generalization Ability and Simulation Research
inferred← citeshttps://doi.org/10.1007/978-3-540-89435-3_5openalex-snapshot
Data-Mining für die Angebotsoptimierung im Handel
inferred← citeshttps://doi.org/10.1007/978-3-642-02478-8_1openalex-snapshot
Lower Bounds for Approximation of Some Classes of Lebesgue Measurable Functions by Sigmoidal Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-04003-0_6openalex-snapshot
Regularization and Suboptimal Solutions in Learning from Data
inferred← citeshttps://doi.org/10.1007/978-3-642-04271-3_55openalex-snapshot
Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis
inferred← citeshttps://doi.org/10.1007/978-3-642-04944-6_6openalex-snapshot
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies
inferred← citeshttps://doi.org/10.1007/978-3-642-11248-5_5openalex-snapshot
Data Mining for the Category Management in the Retail Market
inferred← citeshttps://doi.org/10.1007/978-3-642-16699-0_21openalex-snapshot
Genetic Algorithm with Species for Regularization Network Metalearning
inferred← citeshttps://doi.org/10.1007/978-3-642-17534-3_81openalex-snapshot
Constructing Sparse KFDA Using Pre-image Reconstruction
inferred← citeshttps://doi.org/10.1007/978-3-642-20282-7_19openalex-snapshot
Evolving Sum and Composite Kernel Functions for Regularization Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-20282-7_2openalex-snapshot
Kernel Networks with Fixed and Variable Widths
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Evolutionary Learning of Regularization Networks with Multi-kernel Units
inferred← citeshttps://doi.org/10.1007/978-3-642-25944-9_94openalex-snapshot
Benchmarking Data Mining Methods in CAT
inferred← citeshttps://doi.org/10.1007/978-3-642-27534-0_24openalex-snapshot
Learning from Data as an Optimization and Inverse Problem
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Nonlinear Adaptive Filtering in Kernel Spaces
inferred← citeshttps://doi.org/10.1007/978-3-642-31703-3_4openalex-snapshot
Intraday Foreign Exchange Rate Forecasting Using Sparse Grids
inferred← citeshttps://doi.org/10.1007/978-3-642-33266-1_3openalex-snapshot
Some Comparisons of Networks with Radial and Kernel Units
inferred← citeshttps://doi.org/10.1007/978-3-642-33409-2_11openalex-snapshot
A Regularization Network Committee Machine of Isolated Regularization Networks for Distributed Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.1007/978-3-642-35289-8_22openalex-snapshot
Forecasting the Economy with Neural Nets: A Survey of Challenges and Solutions
inferred← citeshttps://doi.org/10.1007/978-3-642-35289-8_4openalex-snapshot
Regularization Techniques to Improve Generalization
inferred← citeshttps://doi.org/10.1007/978-3-642-35289-8_6openalex-snapshot
A Simple Trick for Estimating the Weight Decay Parameter
inferred← citeshttps://doi.org/10.1007/978-3-642-35289-8_8openalex-snapshot
Adaptive Regularization in Neural Network Modeling
inferred← citeshttps://doi.org/10.1007/978-3-642-38658-9_18openalex-snapshot
Random Sieve Based on Projections for RBF Neural Net Structure Selection
inferred← citeshttps://doi.org/10.1007/978-3-642-38658-9_2openalex-snapshot
A New Method of Centers Location in Gaussian RBF Interpolation Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-38868-2_42openalex-snapshot
Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration
inferred← citeshttps://doi.org/10.1007/978-3-662-07952-2_23openalex-snapshot
Bayesian Ying Yang Learning (II): A New Mechanism for Model Selection and Regularization
inferred← citeshttps://doi.org/10.1007/978-3-662-43505-2_30openalex-snapshot
Theoretical Methods in Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-662-44654-6_2openalex-snapshot
Breaking Ties of Plurality Voting in Ensembles of Distributed Neural Network Classifiers Using Soft Max Accumulations
inferred← citeshttps://doi.org/10.1007/978-3-7091-0646-4_11openalex-snapshot
Neural network learning as approximate optimization
inferred← citeshttps://doi.org/10.1007/978-3-7091-2580-9_1openalex-snapshot
Statistical Learning and Kernel Methods
inferred← citeshttps://doi.org/10.1007/978-3-7091-2668-4_2openalex-snapshot
Neural Networks for Rapid Learning in Computer Vision and Robotics
inferred← citeshttps://doi.org/10.1007/978-3-7091-6384-9_14openalex-snapshot
On-line Learning of Object Representations
inferred← citeshttps://doi.org/10.1007/978-3-7091-6384-9_30openalex-snapshot
Some Comparisons Between Linear Approximation and Approximation by Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-7908-1770-6_12openalex-snapshot
Optimizing Intelligent Agent’s Constraint Satisfaction with Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-7908-1810-9_10openalex-snapshot
Unsupervised and Supervised Learning in Radial-Basis-Function Networks
inferred← citeshttps://doi.org/10.1007/978-3-7908-1902-1_14openalex-snapshot
Radial Basis Function Neural Networks: Theory and Applications
inferred← citeshttps://doi.org/10.1007/978-3-7908-1902-1_36openalex-snapshot
Extended RBF Nets — Preliminary Studies
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Regularization Background of Clustering Algorithms
inferred← citeshttps://doi.org/10.1007/978-90-481-3100-6openalex-snapshot
Novel Algorithms for Fast Statistical Analysis of Scaled Circuits
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