Works matching DE "HILBERT space"
Results: 5000
Short-term prediction of glucose in type 1 diabetes using kernel adaptive filters.
- Published in:
- 2019
- By:
- Publication type:
- journal article
Horocyclic harmonic Bergman spaces on homogeneous trees.
- Published in:
- Analysis & Applications, 2025, v. 23, n. 3, p. 447, doi. 10.1142/S0219530524500350
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- Publication type:
- Article
Optimal prediction for kernel-based semi-functional linear regression.
- Published in:
- Analysis & Applications, 2024, v. 22, n. 3, p. 467, doi. 10.1142/S0219530523500318
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- Publication type:
- Article
Cahn–Hilliard equations on random walk spaces.
- Published in:
- Analysis & Applications, 2023, v. 21, n. 4, p. 959, doi. 10.1142/S0219530523500045
- By:
- Publication type:
- Article
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings.
- Published in:
- Analysis & Applications, 2023, v. 21, n. 3, p. 719, doi. 10.1142/S0219530522500142
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- Publication type:
- Article
Dynamics of stochastic nonlocal reaction–diffusion equations driven by multiplicative noise.
- Published in:
- Analysis & Applications, 2023, v. 21, n. 3, p. 597, doi. 10.1142/S0219530522500075
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- Publication type:
- Article
Sparse representation of approximation to identity.
- Published in:
- Analysis & Applications, 2022, v. 20, n. 4, p. 815, doi. 10.1142/S0219530521500251
- By:
- Publication type:
- Article
A mass-conserved tumor invasion system with quasi-variational degenerate diffusion.
- Published in:
- Analysis & Applications, 2022, v. 20, n. 4, p. 615, doi. 10.1142/S0219530521500159
- Publication type:
- Article
Fractional Hardy-type and trace theorems for nonlocal function spaces with heterogeneous localization.
- Published in:
- Analysis & Applications, 2022, v. 20, n. 3, p. 579, doi. 10.1142/S0219530521500329
- By:
- Publication type:
- Article
Reproducing kernel Hilbert spaces on manifolds: Sobolev and diffusion spaces.
- Published in:
- Analysis & Applications, 2021, v. 19, n. 3, p. 363, doi. 10.1142/S0219530520400114
- By:
- Publication type:
- Article
Balanced joint maximum mean discrepancy for deep transfer learning.
- Published in:
- Analysis & Applications, 2021, v. 19, n. 3, p. 491, doi. 10.1142/S0219530520400035
- By:
- Publication type:
- Article
Superposition, reduction of multivariable problems, and approximation.
- Published in:
- Analysis & Applications, 2020, v. 18, n. 5, p. 771, doi. 10.1142/S021953051941001X
- By:
- Publication type:
- Article
Optimal rate for prediction when predictor and response are functions.
- Published in:
- Analysis & Applications, 2020, v. 18, n. 4, p. 697, doi. 10.1142/S0219530520500037
- By:
- Publication type:
- Article
On the K-functional in learning theory.
- Published in:
- Analysis & Applications, 2020, v. 18, n. 03, p. 423, doi. 10.1142/S0219530519500192
- By:
- Publication type:
- Article
Weighted p-regular kernels for reproducing kernel Hilbert spaces and Mercer Theorem.
- Published in:
- Analysis & Applications, 2020, v. 18, n. 03, p. 359, doi. 10.1142/S0219530519500179
- By:
- Publication type:
- Article
Online regularized pairwise learning with least squares loss.
- Published in:
- Analysis & Applications, 2020, v. 18, n. 1, p. 49, doi. 10.1142/S0219530519410070
- By:
- Publication type:
- Article
Convergence analysis of distributed multi-penalty regularized pairwise learning.
- Published in:
- Analysis & Applications, 2020, v. 18, n. 1, p. 109, doi. 10.1142/S0219530519410045
- By:
- Publication type:
- Article
Analysis of regularized Nyström subsampling for regression functions of low smoothness.
- Published in:
- Analysis & Applications, 2019, v. 17, n. 6, p. 931, doi. 10.1142/S0219530519500039
- By:
- Publication type:
- Article
Online minimum error entropy algorithm with unbounded sampling.
- Published in:
- Analysis & Applications, 2019, v. 17, n. 2, p. 293, doi. 10.1142/S0219530518500148
- By:
- Publication type:
- Article
Deep learning in high dimension: Neural network expression rates for generalized polynomial chaos expansions in UQ.
- Published in:
- Analysis & Applications, 2019, v. 17, n. 1, p. 19, doi. 10.1142/S0219530518500203
- By:
- Publication type:
- Article
Regularized learning schemes in feature Banach spaces.
- Published in:
- Analysis & Applications, 2018, v. 16, n. 1, p. 1, doi. 10.1142/S0219530516500202
- By:
- Publication type:
- Article
Learning rates for regularized least squares ranking algorithm.
- Published in:
- Analysis & Applications, 2017, v. 15, n. 6, p. 815, doi. 10.1142/S0219530517500063
- By:
- Publication type:
- Article
Generalized Gramians: Creating frame vectors in maximal subspaces.
- Published in:
- Analysis & Applications, 2017, v. 15, n. 1, p. 123, doi. 10.1142/S0219530516500019
- By:
- Publication type:
- Article
On extension theorems and their connection to universal consistency in machine learning.
- Published in:
- Analysis & Applications, 2016, v. 14, n. 6, p. 795, doi. 10.1142/S0219530516400029
- By:
- Publication type:
- Article
Learning rates of regression with -norm loss and threshold.
- Published in:
- Analysis & Applications, 2016, v. 14, n. 6, p. 809, doi. 10.1142/S0219530516400030
- By:
- Publication type:
- Article
Regularization schemes for minimum error entropy principle.
- Published in:
- Analysis & Applications, 2015, v. 13, n. 4, p. 437, doi. 10.1142/S0219530514500110
- By:
- Publication type:
- Article
Reproducing kernel Hilbert spaces of CR functions for the Euclidean motion group.
- Published in:
- Analysis & Applications, 2015, v. 13, n. 3, p. 331, doi. 10.1142/S021953051450047X
- By:
- Publication type:
- Article
Generalized sampling: From shift-invariant to U-invariant spaces.
- Published in:
- Analysis & Applications, 2015, v. 13, n. 3, p. 303, doi. 10.1142/S0219530514500213
- By:
- Publication type:
- Article
A unified treatment for Tikhonov regularization using a general stabilizing operator.
- Published in:
- Analysis & Applications, 2015, v. 13, n. 2, p. 201, doi. 10.1142/S0219530514500122
- By:
- Publication type:
- Article
INDEFINITE KERNEL NETWORK WITH DEPENDENT SAMPLING.
- Published in:
- Analysis & Applications, 2013, v. 11, n. 5, p. -1, doi. 10.1142/S0219530513500206
- By:
- Publication type:
- Article
ON THE INCLUSION RELATION OF REPRODUCING KERNEL HILBERT SPACES.
- Published in:
- Analysis & Applications, 2013, v. 11, n. 2, p. 1350014-1, doi. 10.1142/S0219530513500140
- By:
- Publication type:
- Article
VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES AND UNIVERSALITY.
- Published in:
- Analysis & Applications, 2010, v. 8, n. 1, p. 19, doi. 10.1142/S0219530510001503
- By:
- Publication type:
- Article
AN INFINITE DIMENSIONAL VERSION OF THE SCHUR CONVEXITY PROPERTY AND APPLICATIONS.
- Published in:
- Analysis & Applications, 2007, v. 5, n. 2, p. 123, doi. 10.1142/S0219530507000912
- By:
- Publication type:
- Article
VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES OF INTEGRABLE FUNCTIONS AND MERCER THEOREM.
- Published in:
- Analysis & Applications, 2006, v. 4, n. 4, p. 377, doi. 10.1142/S0219530506000838
- By:
- Publication type:
- Article
DISCRETIZATION ERROR ANALYSIS FOR TIKHONOV REGULARIZATION.
- Published in:
- Analysis & Applications, 2006, v. 4, n. 1, p. 81, doi. 10.1142/S0219530506000711
- By:
- Publication type:
- Article
Estimating the Approximation Error in Learning Theory.
- Published in:
- Analysis & Applications, 2003, v. 1, n. 1, p. 17, doi. 10.1142/S0219530503000089
- By:
- Publication type:
- Article
Integrating genome-wide association study into genomic selection for the prediction of agronomic traits in rice (Oryza sativa L.).
- Published in:
- Molecular Breeding, 2023, v. 43, n. 11, p. 1, doi. 10.1007/s11032-023-01423-y
- By:
- Publication type:
- Article
Model-based kernel sum rule: kernel Bayesian inference with probabilistic models.
- Published in:
- Machine Learning, 2020, v. 109, n. 5, p. 939, doi. 10.1007/s10994-019-05852-9
- By:
- Publication type:
- Article
Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric.
- Published in:
- Machine Learning, 2020, v. 109, n. 3, p. 513, doi. 10.1007/s10994-019-05836-9
- By:
- Publication type:
- Article
The kernel Kalman rule: Efficient nonparametric inference by recursive least-squares and subspace projections.
- Published in:
- Machine Learning, 2019, v. 108, n. 12, p. 2113, doi. 10.1007/s10994-019-05816-z
- By:
- Publication type:
- Article
Boosting as a kernel-based method.
- Published in:
- Machine Learning, 2019, v. 108, n. 11, p. 1951, doi. 10.1007/s10994-019-05797-z
- By:
- Publication type:
- Article
Expected similarity estimation for large-scale batch and streaming anomaly detection.
- Published in:
- Machine Learning, 2016, v. 105, n. 3, p. 305, doi. 10.1007/s10994-016-5567-7
- By:
- Publication type:
- Article
On some transformations of high dimension, low sample size data for nearest neighbor classification.
- Published in:
- Machine Learning, 2016, v. 102, n. 1, p. 57, doi. 10.1007/s10994-015-5495-y
- By:
- Publication type:
- Article
Efficient cross-validation for kernelized least-squares regression with sparse basis expansions.
- Published in:
- Machine Learning, 2012, v. 87, n. 3, p. 381, doi. 10.1007/s10994-012-5287-6
- By:
- Publication type:
- Article
Local equivalences of distances between clusterings-a geometric perspective.
- Published in:
- Machine Learning, 2012, v. 86, n. 3, p. 369, doi. 10.1007/s10994-011-5267-2
- By:
- Publication type:
- Article
Robustness and generalization.
- Published in:
- Machine Learning, 2012, v. 86, n. 3, p. 391, doi. 10.1007/s10994-011-5268-1
- By:
- Publication type:
- Article
SpicyMKL: a fast algorithm for Multiple Kernel Learning with thousands of kernels.
- Published in:
- Machine Learning, 2011, v. 85, n. 1-2, p. 77, doi. 10.1007/s10994-011-5252-9
- By:
- Publication type:
- Article
Fast learning of relational kernels.
- Published in:
- Machine Learning, 2010, v. 78, n. 3, p. 305, doi. 10.1007/s10994-009-5163-1
- By:
- Publication type:
- Article
Structured prediction by joint kernel support estimation.
- Published in:
- Machine Learning, 2009, v. 77, n. 2-3, p. 249, doi. 10.1007/s10994-009-5111-0
- By:
- Publication type:
- Article
Feature space perspectives for learning the kernel.
- Published in:
- Machine Learning, 2007, v. 66, n. 2-3, p. 297, doi. 10.1007/s10994-006-0679-0
- By:
- Publication type:
- Article