Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA | Paper Citation Record

Observation 2f7e6e8a-e33f-4af3-a42f-485af87e8929 · outbound

This paper cites Theory of reproducing kernels,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Theory of reproducing kernels,

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This paper cites The kernel trick for distances,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA The kernel trick for distances,

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Universal kernels

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This paper cites Universality, characteristic kernels and RKHS embedding of measures,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Universality, characteristic kernels and RKHS embedding of measures,

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This paper cites Some results on Tchebycheffian spline functions,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Some results on Tchebycheffian spline functions,

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This paper cites Support vector machines, reproducing kernel Hilbert spaces and the randomized GACV,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Support vector machines, reproducing kernel Hilbert spaces and the randomized GACV,

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This paper cites A generalized representer theorem,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA A generalized representer theorem,

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This paper cites Support-vector networks,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Support-vector networks,

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This paper cites Comparing support vector machines with Gaussian kernels to radial basis function classifiers,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Comparing support vector machines with Gaussian kernels to radial basis function classifiers,

Reference 9

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This paper cites A practical approach to model selection for support vector machines with a Gaussian kernel,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA A practical approach to model selection for support vector machines with a Gaussian kernel,

Reference 10

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Observation 9a794b76-3f2b-447d-b1f5-3343e2c88360 · outbound

This paper cites An approximation of the Gaussian RBF kernel for efficient classification with SVMs,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA An approximation of the Gaussian RBF kernel for efficient classification with SVMs,

Reference 11

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Observation 7e0a037f-2b8d-45c9-ad27-edefc51d94c7 · outbound

This paper cites An on-chip-trainable Gaussian-kernel analog support vector machine,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA An on-chip-trainable Gaussian-kernel analog support vector machine,

Reference 12

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Observation 3467d399-5e6d-46a7-8f0a-9d6112fed64a · outbound

This paper cites Parameter selection of Gaussian kernel for one-class SVM,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Parameter selection of Gaussian kernel for one-class SVM,

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Observation ff01341e-d0ca-4258-852c-fcfb94f847d5 · outbound

This paper cites Efficient model selection for support vector machine with Gaussian kernel function,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Efficient model selection for support vector machine with Gaussian kernel function,

Reference 14

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Observation 9db65239-fd9e-45f2-aa43-d04c3d252034 · outbound

This paper cites Random Fourier features for kernel ridge regression: Approximation bounds and statistical guarantees,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Random Fourier features for kernel ridge regression: Approximation bounds and statistical guarantees,

Reference 15

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This paper cites Scalable and memory-efficient kernel ridge regression,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Scalable and memory-efficient kernel ridge regression,

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Observation cbd006c9-0e7c-4798-96e6-d144dc5d5daa · outbound

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Predicting nuclear masses with the kernel ridge regression,

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This paper cites Kernel ridge regression-based chirplet transform for non-stationary signal anal- ysis and its application in machine fault detection under varying speed conditions,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel ridge regression-based chirplet transform for non-stationary signal anal- ysis and its application in machine fault detection under varying speed conditions,

Reference 18

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This paper cites Divide and conquer kernel ridge regression,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Divide and conquer kernel ridge regression,

Reference 19

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This paper cites Kernel ridge regression for general noise model with its application,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel ridge regression for general noise model with its application,

Reference 20

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Observation 4f5029b0-a99b-4581-bd8f-00c6b5bc4370 · outbound

This paper cites Model selection in kernel ridge regression,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Model selection in kernel ridge regression,

Reference 21

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This paper cites Conformalized kernel ridge regression,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Conformalized kernel ridge regression,

Reference 22

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This paper cites Two-stage learning kernel algorithms,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Two-stage learning kernel algorithms,

Reference 23

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This paper cites Algorithms for learning kernels based on centered alignment,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Algorithms for learning kernels based on centered alignment,

Reference 24

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This paper cites Similarity of neural network representations revisited,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Similarity of neural network representations revisited,

Reference 25

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Observation f38a7146-1bed-4c22-b72a-bc0b689b02fe · outbound

This paper cites Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth

Reference 26

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Observation 68a44e83-47d7-443d-bc1e-a580d08e1708 · outbound

This paper cites Emerging cross-lingual structure in pretrained language models,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Emerging cross-lingual structure in pretrained language models,

Reference 27

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Observation 7df12d8c-5ffd-4e9b-9cfd-00b5455964c5 · outbound

This paper cites Universality and individuality in neural dynamics across large populations of recurrent networks,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Universality and individuality in neural dynamics across large populations of recurrent networks,

Reference 28

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Observation 6d3f63db-5ced-46d6-ad8f-4c2b412273c8 · outbound

This paper cites Identification of drug-side effect association via multiple information integration with centered kernel alignment,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Identification of drug-side effect association via multiple information integration with centered kernel alignment,

Reference 29

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This paper cites Kernel-based relevance analysis with enhanced interpretability for detection of brain activity patterns,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel-based relevance analysis with enhanced interpretability for detection of brain activity patterns,

Reference 30

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This paper cites Available: https://www.sciencedirect.com/science/ article/pii/S0925231218312165.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Available: https://www.sciencedirect.com/science/ article/pii/S0925231218312165

Reference 31

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Observation 314a672a-9ac0-4d90-b87f-e81a71bbc16f · outbound

This paper cites Pyrcca: regularized kernel canonical correlation analysis in python and its applications to neuroimaging,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Pyrcca: regularized kernel canonical correlation analysis in python and its applications to neuroimaging,

Reference 32

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Entangled watermarks as a defense against model extraction,

Reference 33

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Graph multiview canonical correlation analysis,

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Independence test and canonical correlation analysis based on the alignment between ker- nel matrices for multivariate functional data,

Reference 35

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Real-time data driven de- formation using kernel canonical correlation analysis,

Reference 36

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This paper cites Statistical consistency of kernel canonical correlation analysis.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Statistical consistency of kernel canonical correlation analysis

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This paper cites Kernel principal component analysis,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel principal component analysis,

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This paper cites Facial expression recognition using kernel canonical correlation analysis (KCCA),.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Facial expression recognition using kernel canonical correlation analysis (KCCA),

Reference 39

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This paper cites Model selection for Gaussian kernel PCA denoising,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Model selection for Gaussian kernel PCA denoising,

Reference 40

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This paper cites Nonlinear component analysis as a kernel eigenvalue problem,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Nonlinear component analysis as a kernel eigenvalue problem,

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Convex formulation for kernel PCA and its use in semisupervised learning,

Reference 42

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This paper cites Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant,

Reference 44

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This paper cites Kernel PCA for novelty detection,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel PCA for novelty detection,

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This paper cites Kernel PCA for feature extraction and de-noising in nonlinear regression,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel PCA for feature extraction and de-noising in nonlinear regression,

Reference 46

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel PCA and de-noising in feature spaces,

Reference 47

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This paper cites Kato,Perturbation Theory for Linear Operators, ser.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kato,Perturbation Theory for Linear Operators, ser

Reference 48

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This paper cites Gaussian RBF centered kernel alignment (CKA) in the large-bandwidth limit,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Gaussian RBF centered kernel alignment (CKA) in the large-bandwidth limit,

Reference 49

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Spectral properties of kernel matrices in the flat limit,

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This paper cites Asymptotic behaviors of support vector machines with Gaussian kernel,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Asymptotic behaviors of support vector machines with Gaussian kernel,

Reference 51

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This paper cites Mesures d’ind´ependance dans des rkhs en limite plate,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Mesures d’ind´ependance dans des rkhs en limite plate,

Reference 52

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This paper cites Gaussian Process Regression in the Flat Limit.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Gaussian Process Regression in the Flat Limit

Reference 53

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This paper cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,

Reference 54

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This paper cites OpenML: Networked science in machine learning,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA OpenML: Networked science in machine learning,

Reference 55

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This paper cites Angles between subspaces and their tangents.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Angles between subspaces and their tangents

Reference 56

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This paper cites Principal angles between subspaces in an A-based scalar product: Algorithms and perturbation estimates,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Principal angles between subspaces in an A-based scalar product: Algorithms and perturbation estimates,

Reference 57

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This paper cites Scikit-learn: Machine learning in Python,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Scikit-learn: Machine learning in Python,

Reference 58

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Unresolved cited work

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This paper cites Matplotlib: A 2D graphics environment,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Matplotlib: A 2D graphics environment,

Reference 60

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This paper cites Array programming with NumPy,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Array programming with NumPy,

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This paper cites Data Structures for Statistical Computing in Python,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Data Structures for Statistical Computing in Python,

Reference 62

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA pandas-dev/pandas: Pandas,

Reference 63

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This paper cites Available: https://proceedings.neurips.cc/paper/ 2019/file/5f5d472067f77b5c88f69f1bcfda1e08-Paper.pdf.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Available: https://proceedings.neurips.cc/paper/ 2019/file/5f5d472067f77b5c88f69f1bcfda1e08-Paper.pdf

Reference 2019

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