„Kern Regression“
Suchergebnisse
1.000+ Treffer
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Tool wear monitoring based on kernel principal component analysis and v-support vector regression
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Sensorless cardiac phase detection for synchronized control of ventricular assist devices using nonlinear kernel regression model
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Size‐Extensive Molecular Machine Learning with Global Representations †
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Stripping the Swiss discount curve using kernel ridge regression
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The kernel-weighted local polynomial regression (KwLPR) approach: an efficient, novel tool for development of QSAR/QSAAR toxicity extrapolation models
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Strong consistency of automatic kernel regression estimates
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PM2.5 Concentration Prediction Based on Markov Blanke Feature Selection and Hybrid Kernel Support Vector Regression Optimized by Particle Swarm Optimization
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Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels
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A new test for the parametric form of the variance function in nonparametric regression
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How to arrange follow-up time-intervals for longitudinal brain MRI studies in neurodegenerative diseases
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Investigation of sequence features of hinge-bending regions in proteins with domain movements using kernel logistic regression
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Estimation of Leaf Chlorophyll Concentration in Turmeric (Curcuma longa) Using High-Resolution Unmanned Aerial Vehicle Imagery Based on Kernel Ridge Regression
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Semi-infinite optimization for shape-constrained regression – feasible point algorithms with applications in parametric and Kernel-based shape-constrained regression
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Enhancement comparison of Laplace kernelized piecewise regression-based progressive generative adversarial network for latent fingerprint
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Development of user-friendly kernel-based Gaussian process regression model for prediction of load-bearing capacity of square concrete-filled steel tubular members
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Kernel ridge regression model for sediment transport in open channel flow
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Antibiotic consumption patterns in acute care hospitals: an integrated analysis using regression modelling combining data from two surveillance systems, Germany, 2022
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Nonparametric kernel smoother on topology learning neural networks for incremental and ensemble regression
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WEAK AND STRONG UNIVERSAL CONSISTENCY OF SEMI-RECURSIVE KERNEL AND PARTITIONING REGRESSION ESTIMATES
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Asymptotic results for the regression function estimate on continuous time stationary and ergodic data