Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations
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Gradient Matching Methods for Computational Inference in Mechanistic Models for Systems Biology: A Review and Comparative AnalysisUnifying Amplitude and Phase Analysis: A Compositional Data Approach to Functional Multivariate Mixed-Effects Modeling of Mandarin Chinese.Learning from Heterogeneous Data Sources: An Application in Spatial ProteomicsTowards an Automated Acoustic Detection System for Free Ranging Elephants.Multi-Sensor Data Fusion Using a Relevance Vector Machine Based on an Ant Colony for Gearbox Fault Detection.Support vector machines in HTS data mining: Type I MetAPs inhibition study.Discrimination between emboli and artifacts for outpatient transcranial Doppler ultrasound data.A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach.Kernel temporal differences for neural decoding.Unified variable selection in semi-parametric models.LMD method and multi-class RWSVM of fault diagnosis for rotating machinery using condition monitoring information.Mexican Hat Wavelet Kernel ELM for Multiclass ClassificationCombining biomarkers linearly and nonlinearly for classification using the area under the ROC curve.Variable selection in semi-parametric models.Nonlinear spectral mixture effects for photosynthetic/non-photosynthetic vegetation cover estimates of typical desert vegetation in western China.Support Vector Machine on fluorescence landscapes for breast cancer diagnostics.Continuous analogues of matrix factorizations.Hamiltonian mechanics of stochastic acceleration.Kernel method based human model for enhancing interactive evolutionary optimization.Kernel least-squares models using updates of the pseudoinverse.On Weighted Support Vector RegressionAn Overview of Gradient-Enhanced Metamodels with ApplicationsBayesian Approximate Kernel Regression With Variable SelectionKernel Sliced Inverse Regression: Regularization and ConsistencyMachine Learning for First-Order Theorem ProvingActive Learning for Monitoring Network OptimizationSpatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model treeAdvances in credit scoring: combining performance and interpretation in kernel discriminant analysisAdaptive mapped least squares SVM-based smooth fitting method for DSM generation of LIDAR dataDaily relative humidity projections in an Indian river basin for IPCC SRES scenariosThe graph matching problemKernel-based orthogonal projections to latent structures (K-OPLS)SUPPORT VECTOR MACHINES (SVMs) WITH UNIVERSAL KERNELSUniversalities of reproducing kernels revisitedKnowledge-Based Green's Kernel for Support Vector RegressionLearning Hardware-Friendly Classifiers Through Algorithmic StabilityIdentification of a Surface Marine Vessel Using LS-SVMSemiphysical Modelling of the Nonlinear Dynamics of a Surface Craft with LS-SVMNew Reproducing Kernel FunctionsProbabilistic Forecasting of Traffic Flow Using Multikernel Based Extreme Learning Machine
P2860
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P2860
Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations
description
im Januar 1909 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в січні 1909
@uk
name
Functions of Positive and Nega ...... e Theory of Integral Equations
@en
Functions of Positive and Nega ...... e Theory of Integral Equations
@nl
type
label
Functions of Positive and Nega ...... e Theory of Integral Equations
@en
Functions of Positive and Nega ...... e Theory of Integral Equations
@nl
prefLabel
Functions of Positive and Nega ...... e Theory of Integral Equations
@en
Functions of Positive and Nega ...... e Theory of Integral Equations
@nl
P356
P1476
Functions of Positive and Nega ...... e Theory of Integral Equations
@en
P2093
P304
P356
10.1098/RSTA.1909.0016
P407
P433
P577
1909-01-01T00:00:00Z