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Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Interpolation of Scattered Data: Distance Matrices and Conditionally Positive Definite Functions

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Support-Vector Networks

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A Fast Dual Algorithm for Kernel Logistic Regression

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Efficient approximate leave-one-out cross-validation for kernel logistic regression

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Some results on Tchebycheffian spline functions

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Table of Integrals, Series, and Products

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Table of Integrals, Series, and Products

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Fast exact leave-one-out cross-validation of sparse least-squares support vector machines

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Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers

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Kernel Methods for Pattern Analysis

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Soft Margins for AdaBoost

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Choosing Multiple Parameters for Support Vector Machines

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Least Squares Support Vector Machine Classifiers

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Estimation of Error Rates in Discriminant Analysis

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The Relationship Between Variable Selection and Data Agumentation and a Method for Prediction

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XVI. Functions of positive and negative type, and their connection the theory of integral equations

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Bayesian classification with Gaussian processes

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Improving generalization performance using double backpropagation

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Curvature-driven smoothing: a learning algorithm for feedforward networks

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Performance Prediction Challenge

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Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs

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Fisher discriminant analysis with kernels

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Least Squares Support Vector Machines

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Predictive Approaches for Choosing Hyperparameters in Gaussian Processes

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Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-One-Out Cross Validation

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10.1162/15324430152748236

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Neural Networks and the Bias/Variance Dilemma

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Bayesian Interpolation

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A Practical Bayesian Framework for Backpropagation Networks

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The Evidence Framework Applied to Classification Networks

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Bayesian Regularization and Pruning Using a Laplace Prior

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SYMINV: An Algorithm for the Inversion of a Positive Definite Matrix by the Cholesky Decomposition

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Solutions of Ill-Posed Problems.

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Spline Models for Observational Data.

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Expectation Propagation for approximate Bayesian inference

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A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection

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Matrix Computations

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Neural networks for pattern recognition

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Gaussian Processes for Machine Learning

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Kernel Methods in Computational Biology

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Adaptive Computation and Machine Learning

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inferred← citeshttps://doi.org/10.1108/compel-09-2015-0352openalex-snapshot

Fast circular shapes detection in cylindrical ECT sensors by design selection and nonlinear black-box modeling

inferred← citeshttps://doi.org/10.1109/access.2018.2873406openalex-snapshot

Sparse Bayesian Learning for Channel Estimation in Time-Varying Underwater Acoustic OFDM Communication

inferred← citeshttps://doi.org/10.1109/access.2019.2894506openalex-snapshot

High-Resolution Time of Arrival Estimation With Small Samples Considering Time-Varying Channel Fading Coefficient Correlation in OFDM

inferred← citeshttps://doi.org/10.1109/clei.2012.6427175openalex-snapshot

Training strategies for Radial Basis Function Neural Networks: A study applied to prostate cancer prognosis

inferred← citeshttps://doi.org/10.1109/dyspan.2019.8935814openalex-snapshot

Machine Learning Aided Hybrid Beamforming in Massive-MIMO Millimeter Wave Systems

inferred← citeshttps://doi.org/10.1109/hicss.2012.129openalex-snapshot

Automated News Reading: Stock Price Prediction Based on Financial News Using Context-Specific Features

inferred← citeshttps://doi.org/10.1109/icbase51474.2020.00042openalex-snapshot

The Application of Bayesian Penalty Regression in Sparse Regularization

inferred← citeshttps://doi.org/10.1109/iccse.2012.6295300openalex-snapshot

Research on unknown attacks detection based on ArtiAnomalyG algorithm

inferred← citeshttps://doi.org/10.1109/iciip61524.2023.10537626openalex-snapshot

An Ensemble Learning Approach Towards Prediction of Diabetic Retinopathy

inferred← citeshttps://doi.org/10.1109/icmla.2013.145openalex-snapshot

Gradient Hyper-parameter Optimization for Manifold Regularization

inferred← citeshttps://doi.org/10.1109/icmlc.2012.6358967openalex-snapshot

Sparse LS-SVM two-steps model selection method

inferred← citeshttps://doi.org/10.1109/icpeca47973.2019.8975587openalex-snapshot

Fault Classification for Unmanned Surface Vehicles using Supervised Learning Methods

inferred← citeshttps://doi.org/10.1109/icpeca47973.2019.8975614openalex-snapshot

Machine Learning Based Islanding Detection for Grid Connected Photovoltaic System

inferred← citeshttps://doi.org/10.1109/icra.2012.6224764openalex-snapshot

Learning utility models for decentralised coordinated target tracking

inferred← citeshttps://doi.org/10.1109/ijcnn.2010.5596683openalex-snapshot

Polynomial componentwise LS-SVM: Fast variable selection using low rank updates

inferred← citeshttps://doi.org/10.1109/ijcnn.2010.5596915openalex-snapshot

Ensemble particle swarm model selection

inferred← citeshttps://doi.org/10.1109/ijcnn.2014.6889643openalex-snapshot

Extracting nonlinear correlation for the classification of single-trial EEG in a finger movement task

inferred← citeshttps://doi.org/10.1109/ijcnn.2015.7280767openalex-snapshot

Design of the 2015 ChaLearn AutoML challenge

inferred← citeshttps://doi.org/10.1109/iwbf.2016.7449673openalex-snapshot

Altered fingerprint detection – algorithm performance evaluation

inferred← citeshttps://doi.org/10.1109/jbhi.2014.2322871openalex-snapshot

Integrated Inertial Sensors and Mobile Computing for Real-Time Cycling Performance Guidance via Pedaling Profile Classification

inferred← citeshttps://doi.org/10.1109/jlt.2019.2926411openalex-snapshot

Multi-IF-Over-Fiber System With Adaptive Frequency Transmit Diversity for High Capacity Mobile Fronthaul

inferred← citeshttps://doi.org/10.1109/jstars.2020.3044470openalex-snapshot

Using Support Vector Machine (SVM) and Ionospheric Total Electron Content (TEC) Data for Solar Flare Predictions

inferred← citeshttps://doi.org/10.1109/jstsp.2011.2159773openalex-snapshot

Sparse Signal Recovery With Temporally Correlated Source Vectors Using Sparse Bayesian Learning

inferred← citeshttps://doi.org/10.1109/tap.2015.2473000openalex-snapshot

Microwave Imaging of Nonsparse Domains Using Born Iterative Method With Wavelet Transform and Block Sparse Bayesian Learning

inferred← citeshttps://doi.org/10.1109/tbme.2015.2480242openalex-snapshot

A Method for Automatic and Objective Scoring of Bradykinesia Using Orientation Sensors and Classification Algorithms

inferred← citeshttps://doi.org/10.1109/tcbb.2011.63openalex-snapshot

Parameter Estimation Using Metaheuristics in Systems Biology: A Comprehensive Review

inferred← citeshttps://doi.org/10.1109/tcyb.2019.2923824openalex-snapshot

Kernel Stability for Model Selection in Kernel-Based Algorithms

inferred← citeshttps://doi.org/10.1109/tim.2022.3220282openalex-snapshot

Local-Spatiotemporal Change Monitoring in Extracellular Fluid by Time-Variation-Constraint Sparse Bayesian Learning Implemented Into Frequency-Difference Electrical Impedance Tomography (tvcSBL-fdEIT)

inferred← citeshttps://doi.org/10.1109/tnsre.2014.2315717openalex-snapshot

Adaptive Spatio-Temporal Filtering for Movement Related Potentials in EEG-Based Brain–Computer Interfaces

inferred← citeshttps://doi.org/10.1109/tpami.2010.95openalex-snapshot

Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters

inferred← citeshttps://doi.org/10.1109/tpami.2019.2892371openalex-snapshot

Fast Cross-Validation for Kernel-based Algorithms

inferred← citeshttps://doi.org/10.1109/tro.2012.2226386openalex-snapshot

Improving Control of Dexterous Hand Prostheses Using Adaptive Learning

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Off-Grid DOA Estimation Method Based on Sparse Bayesian Learning With Clustered Structural-Aware Prior Information

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An Efficient Maximum Likelihood Method for Direction-of-Arrival Estimation via Sparse Bayesian Learning

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Adaptive Spherical Gaussian Kernel for fast Relevance Vector Machine Regression

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Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time‐series data

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Towards a Fuzzy Bayesian Network Based Approach for Safety Risk Analysis of Tunnel‐Induced Pipeline Damage

inferred← citeshttps://doi.org/10.1142/s0219691313500306openalex-snapshot

HYPER-PARAMETER SELECTION FOR SPARSE LS-SVM VIA MINIMIZATION OF ITS LOCALIZED GENERALIZATION ERROR

inferred← citeshttps://doi.org/10.1145/2505515.2505584openalex-snapshot

Eigenvalues perturbation of integral operator for kernel selection

inferred← citeshttps://doi.org/10.1145/2661829.2662034openalex-snapshot

Model Selection with the Covering Number of the Ball of RKHS

inferred← citeshttps://doi.org/10.1145/3318299.3318377openalex-snapshot

Ensemble Learning Based Rental Apartment Price Prediction Model by Categorical Features Factoring

inferred← citeshttps://doi.org/10.1145/3474085.3475649openalex-snapshot

General Approximate Cross Validation for Model Selection

inferred← citeshttps://doi.org/10.1145/3540250.3558943openalex-snapshot

Testing of machine learning models with limited samples: an industrial vacuum pumping application

inferred← citeshttps://doi.org/10.1155/2013/284570openalex-snapshot

Variance Sensitivity Analysis of Parameters for Pruning of a Multilayer Perceptron: Application to a Sawmill Supply Chain Simulation Model

inferred← citeshttps://doi.org/10.1155/2013/816836openalex-snapshot

Tensorial Kernel Principal Component Analysis for Action Recognition

inferred← citeshttps://doi.org/10.1155/2014/959386openalex-snapshot

Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian Learning

inferred← citeshttps://doi.org/10.1155/2021/9910601openalex-snapshot

Vibration Reliability Analysis of Aeroengine Rotor Based on Intelligent Neural Network Modeling Framework

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Radiological Image Traits Predictive of Cancer Status in Pulmonary Nodules

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Modelling for motor load torque with dynamic load changes of beam pumping units based on a serial hybrid model

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Feature selection and classifier performance on diverse bio- logical datasets

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AZOrange - High performance open source machine learning for QSAR modeling in a graphical programming environment

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Ten quick tips for biomarker discovery and validation analyses using machine learning

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Predicting forest insect flight activity: A Bayesian network approach

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Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices

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Kernel function parameter setting in the LS-SVM method using external criteria of model quality

inferred← citeshttps://doi.org/10.2118/210200-msopenalex-snapshot

Life-Cycle Production Optimization of the CO2-Water-Alternating-Gas Injection Process Using Least-Squares Support-Vector Regression (LS-SVR) Proxy

inferred← citeshttps://doi.org/10.2118/215110-msopenalex-snapshot

Life-Cycle Gradient-Based Production Optimization Including Well-Shutoff Option with Least-Squares Support Vector Regression

inferred← citeshttps://doi.org/10.2118/215110-paopenalex-snapshot

Life-Cycle Gradient-Based Production Optimization Including Well-Shutoff Option with Least-Squares Support Vector Regression

inferred← citeshttps://doi.org/10.2139/ssrn.5280384openalex-snapshot

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator

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Coupled Sensor Configuration and Path-Planning in Unknown Static Environments

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Weak in the NEES?: Auto-Tuning Kalman Filters with Bayesian Optimization

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Fast Cross-Validation

inferred← citeshttps://doi.org/10.2514/1.i010553openalex-snapshot

Adaptive Simulation-Based Training of Artificial-Intelligence Decision Makers Using Bayesian Optimization

inferred← citeshttps://doi.org/10.26021/3210openalex-snapshot

Development and Implementation of an Online Kraft Black Liquor Viscosity Soft Sensor

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Just-in-time Kernel Classifier for Online Process Diagnosis

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Data-driven research on vehicles' risky lane-changing manoeuvre

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Injection-Induced Seismic Risk Management Using Machine Learning Methodology – A Perspective Study

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Prediction and prevention of concrete chloride penetration: machine learning and MICP techniques

inferred← citeshttps://doi.org/10.3389/frcmn.2024.1465902openalex-snapshot

A fast temporal multiple sparse Bayesian learning-based channel estimation method for time-varying underwater acoustic OFDM systems

inferred← citeshttps://doi.org/10.3389/fresc.2023.1222174openalex-snapshot

Stabilizing leaning postures with feedback controlled functional neuromuscular stimulation after trunk paralysis

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An Airfield Area Layout Efficiency Analysis Method Based on Queuing Network and Machine Learning

inferred← citeshttps://doi.org/10.3390/drones6080210openalex-snapshot

A Neural Network Approach to Estimate Transient Aerodynamic Properties of a Flapping Wing System

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Optimization of Optical Machine Structure by Backpropagation Neural Network Based on Particle Swarm Optimization and Bayesian Regularization Algorithms

inferred← citeshttps://doi.org/10.3390/machines10010063openalex-snapshot

Bayesian Regularization Algorithm Based Recurrent Neural Network Method and NSGA-II for the Optimal Design of the Reflector

inferred← citeshttps://doi.org/10.3390/rs10020312openalex-snapshot

Using Support Vector Regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries

inferred← citeshttps://doi.org/10.3390/rs12152495openalex-snapshot

Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review

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Carbide Coated Insert Health Monitoring Using Machine Learning Approach through Vibration Analysis

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Risk Assessment of Type 2 Diabetes Mellitus Prediction using an Improved Combination of NELM-PSO

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Hyper-parameter optimization for manifold regularization learning

inferred← citeshttps://doi.org/10.48550/arxiv.0812.0882openalex-snapshot

Elagage d'un perceptron multicouches : utilisation de l'analyse de la variance de la sensibilité des paramètres

inferred← citeshttps://doi.org/10.48550/arxiv.0812.1094openalex-snapshot

Sélection de la structure d'un perceptron multicouches pour la réduction dun modèle de simulation d'une scierie

inferred← citeshttps://doi.org/10.48550/arxiv.1703.09310openalex-snapshot

Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization

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Meta-Learning Mean Functions for Gaussian Processes

showing the first 200 of 207

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