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Relation between Quantum and Semiclassical Description of Optical CoherenceThe Current and Future Use of Ridge Regression for Prediction in Quantitative GeneticsGINI: from ISH images to gene interaction networksKernel approaches for differential expression analysis of mass spectrometry-based metabolomics data.Regularization techniques and suboptimal solutions to optimization problems in learning from data.Framework for kernel regularization with application to protein clustering.Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes.Soft and hard classification by reproducing kernel Hilbert space methods.Low-rank regularization for learning gene expression programsA mixture model for robust point matching under multi-layer motion.A multi-label learning based kernel automatic recommendation method for support vector machine.Gaussian processes for machine learning.An Adaptive Genetic Association Test Using Double Kernel Machines.Uncovering Local Trends in Genetic Effects of Multiple Phenotypes via Functional Linear Models.LMD method and multi-class RWSVM of fault diagnosis for rotating machinery using condition monitoring information.A kernel regression approach to gene-gene interaction detection for case-control studies.Discriminant Analysis of Time Series in the Presence of Within-Group Spectral VariabilityClustering by fuzzy neural gas and evaluation of fuzzy clusters.Sparse Estimation of Conditional Graphical Models With Application to Gene Networks.Asymmetric latent semantic indexing for gene expression experiments visualization.Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction.Estimating personalized diagnostic rules depending on individualized characteristics.Structural Interpretation of Metastable States in Myoglobin-NO.Feature Import Vector Machine: A General Classifier with Flexible Feature Selection.Filtering with State-Observation Examples via Kernel Monte Carlo Filter.Estimation of diffusion coefficients from voltammetric signals by support vector and gaussian process regression.Protein-ligand interaction prediction: an improved chemogenomics approach.Functional mixed effects models.Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces.A novel method of micro-tomography geometric angle calibration with random phantom.Investigation of optical neuro-monitoring technique for detection of maintenance and emergence states during general anesthesia.Unsupervised multiple kernel learning for heterogeneous data integration.An integral upper bound for neural network approximation.Learning with boundary conditions.Hamiltonian mechanics of stochastic acceleration.3D image analysis and artificial intelligence for bone disease classification.A reproducing kernel Hilbert space framework for spike train signal processing.Angle-angular-momentum entropic bounds and optimal entropies for quantum scattering of spinless particles.Solving the bound-state Schrodinger equation by reproducing kernel interpolationSolution of the quantum fluid dynamical equations with radial basis function interpolation
P2860
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P2860
description
im März 1950 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в березні 1950
@uk
name
Theory of reproducing kernels
@en
Theory of reproducing kernels
@nl
type
label
Theory of reproducing kernels
@en
Theory of reproducing kernels
@nl
prefLabel
Theory of reproducing kernels
@en
Theory of reproducing kernels
@nl
P1476
Theory of reproducing kernels
@en
P304
P356
10.1090/S0002-9947-1950-0051437-7
P407
P577
1950-03-01T00:00:00Z