127 related articles for article (PubMed ID: 38745873)
1. Learning nonparametric ordinary differential equations from noisy data.
Lahouel K; Wells M; Rielly V; Lew E; Lovitza D; Jedynak BM
J Comput Phys; 2024 Jun; 507():. PubMed ID: 38745873
[TBL] [Abstract][Full Text] [Related]
2. Double Sparsity Kernel Learning with Automatic Variable Selection and Data Extraction.
Chen J; Zhang C; Kosorok MR; Liu Y
Stat Interface; 2018; 11(3):401-420. PubMed ID: 30294406
[TBL] [Abstract][Full Text] [Related]
3. Approximate parameter inference in systems biology using gradient matching: a comparative evaluation.
Macdonald B; Niu M; Rogers S; Filippone M; Husmeier D
Biomed Eng Online; 2016 Jul; 15 Suppl 1(Suppl 1):80. PubMed ID: 27454253
[TBL] [Abstract][Full Text] [Related]
4. Robust estimation for ordinary differential equation models.
Cao J; Wang L; Xu J
Biometrics; 2011 Dec; 67(4):1305-13. PubMed ID: 21401565
[TBL] [Abstract][Full Text] [Related]
5. On Quantile Regression in Reproducing Kernel Hilbert Spaces with Data Sparsity Constraint.
Zhang C; Liu Y; Wu Y
J Mach Learn Res; 2016 Apr; 17(40):1-45. PubMed ID: 27134575
[TBL] [Abstract][Full Text] [Related]
6. The Connection Between Bayesian Estimation of a Gaussian Random Field and RKHS.
Aravkin AY; Bell BM; Burke JV; Pillonetto G
IEEE Trans Neural Netw Learn Syst; 2015 Jul; 26(7):1518-24. PubMed ID: 25122843
[TBL] [Abstract][Full Text] [Related]
7. Optimal Transport in Reproducing Kernel Hilbert Spaces: Theory and Applications.
Zhang Z; Wang M; Nehorai A
IEEE Trans Pattern Anal Mach Intell; 2020 Jul; 42(7):1741-1754. PubMed ID: 30843802
[TBL] [Abstract][Full Text] [Related]
8. An Online Projection Estimator for Nonparametric Regression in Reproducing Kernel Hilbert Spaces.
Zhang T; Simon N
Stat Sin; 2023 Jan; 33(1):127-148. PubMed ID: 37153711
[TBL] [Abstract][Full Text] [Related]
9. Gradient Matching Methods for Computational Inference in Mechanistic Models for Systems Biology: A Review and Comparative Analysis.
Macdonald B; Husmeier D
Front Bioeng Biotechnol; 2015; 3():180. PubMed ID: 26636071
[TBL] [Abstract][Full Text] [Related]
10. Learn the Lagrangian: A Vector-Valued RKHS Approach to Identifying Lagrangian Systems.
Cheng CA; Huang HP
IEEE Trans Cybern; 2016 Dec; 46(12):3247-3258. PubMed ID: 26672054
[TBL] [Abstract][Full Text] [Related]
11. Parallel Solution of Nonlinear Projection Equations in a Multitask Learning Framework.
Wu D; Lisser A
IEEE Trans Neural Netw Learn Syst; 2024 Jan; PP():. PubMed ID: 38261500
[TBL] [Abstract][Full Text] [Related]
12. A general framework of nonparametric feature selection in high-dimensional data.
Yu H; Wang Y; Zeng D
Biometrics; 2023 Jun; 79(2):951-963. PubMed ID: 35318639
[TBL] [Abstract][Full Text] [Related]
13. Kernel Ordinary Differential Equations.
Dai X; Li L
J Am Stat Assoc; 2022; 117(540):1711-1725. PubMed ID: 36845295
[TBL] [Abstract][Full Text] [Related]
14. Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes.
Yang S; Wong SWK; Kou SC
Proc Natl Acad Sci U S A; 2021 Apr; 118(15):. PubMed ID: 33837150
[TBL] [Abstract][Full Text] [Related]
15. Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space.
Tian X; Li Y; Liu T; Wang X; Tao D
IEEE Trans Neural Netw Learn Syst; 2019 Jun; 30(6):1818-1830. PubMed ID: 30371390
[TBL] [Abstract][Full Text] [Related]
16. The construction of a two-dimensional reproducing kernel function and its application in a biomedical model.
Guo Q; Shen ST
Technol Health Care; 2016 Apr; 24 Suppl 2():S477-86. PubMed ID: 27163307
[TBL] [Abstract][Full Text] [Related]
17. Optimizing Kernel Machines Using Deep Learning.
Song H; J Thiagarajan J; Sattigeri P; Spanias A
IEEE Trans Neural Netw Learn Syst; 2018 Nov; 29(11):5528-5540. PubMed ID: 29993616
[TBL] [Abstract][Full Text] [Related]
18. Generalization Performance of Regularized Ranking With Multiscale Kernels.
Zhou Y; Chen H; Lan R; Pan Z
IEEE Trans Neural Netw Learn Syst; 2016 May; 27(5):993-1002. PubMed ID: 26058058
[TBL] [Abstract][Full Text] [Related]
19. Exploring inductive linearization for pharmacokinetic-pharmacodynamic systems of nonlinear ordinary differential equations.
Hasegawa C; Duffull SB
J Pharmacokinet Pharmacodyn; 2018 Feb; 45(1):35-47. PubMed ID: 28550375
[TBL] [Abstract][Full Text] [Related]
20. Neural ordinary differential equations with irregular and noisy data.
Goyal P; Benner P
R Soc Open Sci; 2023 Jul; 10(7):221475. PubMed ID: 37476515
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
