Keywords: 60G60; 60G17; 62J02; Covariance kernels; Linear operators; RKHS; Structural priors;
مقالات ISI (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: Kernel; RKHS; Similarity; Dimensionality; Complexity; Linear separability; Nonlinear
Frame sequences and representations for samplable random processes
Keywords: Second order stochastic processes; Frames; RKHS; Sampling and reconstruction of signals; Karhunen-Loève transforms;
Research ArticleDimensionality reduction of RKHS model parameters
Keywords: RKHS; System identification; Kernel method; KPLS; RKPLS; Process Trainer;
Online prediction model based on the SVD-KPCA method
Keywords: SLT; RKHS; RKPCA; Online SVD-KPCA;
The distance between feature subspaces of kernel canonical correlation analysis
Keywords: Subspace distance; Covariance operator; Canonical correlation analysis; RKHS
On asymptotic properties of Bayesian partially linear models
Keywords: primary, 62G20; secondary, 62F15Bayes factor consistency; Gaussian process priors; Dirichlet process mixture; Marginal distribution; Posterior consistency; RKHS
Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models
Keywords: Dynamic model; Factorial design; Latin hypercube sampling; Principal components analysis; RKHS; Sensitivity analysis; Sobol' decomposition
The Dagum and auxiliary covariance families: Towards reconciling two-parameter models that separate fractal dimension and the Hurst effect
Keywords: Dagum family; Functional regression; Hausdorff dimension; Hurst index; Mean-square Hölder exponent; RKHS; Response surface; Sobolev spaces; Statistical Volume Element; Thermoelasticity
Consistency of functional learning methods based on derivatives
Keywords: Functional Data Analysis; Consistency; Statistical learning; Derivatives; SVM; Smoothing splines; RKHS
Convergence properties of the expected improvement algorithm with fixed mean and covariance functions
Keywords: Bayesian optimization; Computer experiments; Gaussian process; Global optimization; Sequential design; RKHS
Cokriging for spatial functional data
Keywords: 91B72; 91B74; 62P12; 47B32Functional data analysis; RKHS; Functional linear model; Coregionalization; Cokriging; Legendre polynomials
Radial kernels and their reproducing kernel Hilbert spaces
Keywords: RKHS; Reproducing kernel Hilbert space; Schoenberg theorem; Approximation error
Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems
Keywords: Inverse problems; Bayesian inference; Dimensionality reduction; Polynomial chaos; Markov chain Monte Carlo; Galerkin projection; Gaussian processes; Karhunen–Loève expansion; RKHS
SAKM: Self-adaptive kernel machine A kernel-based algorithm for online clustering
Keywords: Online clustering; RKHS; Non-stationary data; Multi-class problems; Evolving models;
Regression models for functional data by reproducing kernel Hilbert spaces methods
Keywords: Primary, 62G08; secondary, 62H30Functional data; Stochastic process; RKHS; Statistical learning