77 related articles for article (PubMed ID: 29993616)
1. 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]
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. Learning with privileged knowledge of multiple kernels via joint prediction for CT Kernel conversion.
Hu C; Chen G
Med Phys; 2024 Apr; ():. PubMed ID: 38608647
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. A distance-based kernel for classification via Support Vector Machines.
Amaya-Tejera N; Gamarra M; Vélez JI; Zurek E
Front Artif Intell; 2024; 7():1287875. PubMed ID: 38469159
[TBL] [Abstract][Full Text] [Related]
6. Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process.
Saffari M; Khodayar M; Ebrahimi Saadabadi MS; Sequeira AF; Cardoso JS
Sensors (Basel); 2021 Mar; 21(5):. PubMed ID: 33800810
[TBL] [Abstract][Full Text] [Related]
7. SOKS: Automatic Searching of the Optimal Kernel Shapes for Stripe-Wise Network Pruning.
Liu G; Zhang K; Lv M
IEEE Trans Neural Netw Learn Syst; 2023 Dec; 34(12):9912-9924. PubMed ID: 35412989
[TBL] [Abstract][Full Text] [Related]
8. Exact learning dynamics of deep linear networks with prior knowledge.
J Dominé CC; Braun L; Fitzgerald JE; Saxe AM
J Stat Mech; 2023 Nov; 2023(11):114004. PubMed ID: 38524253
[TBL] [Abstract][Full Text] [Related]
9. Kernel methods and their derivatives: Concept and perspectives for the earth system sciences.
Johnson JE; Laparra V; Pérez-Suay A; Mahecha MD; Camps-Valls G
PLoS One; 2020; 15(10):e0235885. PubMed ID: 33119617
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization.
Bolgár B; Antal P
BMC Bioinformatics; 2017 Oct; 18(1):440. PubMed ID: 28978313
[TBL] [Abstract][Full Text] [Related]
12. Spectral bias and task-model alignment explain generalization in kernel regression and infinitely wide neural networks.
Canatar A; Bordelon B; Pehlevan C
Nat Commun; 2021 May; 12(1):2914. PubMed ID: 34006842
[TBL] [Abstract][Full Text] [Related]
13. Experimental kernel-based quantum machine learning in finite feature space.
Bartkiewicz K; Gneiting C; Černoch A; Jiráková K; Lemr K; Nori F
Sci Rep; 2020 Jul; 10(1):12356. PubMed ID: 32704032
[TBL] [Abstract][Full Text] [Related]
14. Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data.
Yoshida K; Yoshimoto J; Doya K
BMC Bioinformatics; 2017 Feb; 18(1):108. PubMed ID: 28196464
[TBL] [Abstract][Full Text] [Related]
15. Lower Bounds on the Noiseless Worst-Case Complexity of Efficient Global Optimization.
Xu W; Jiang Y; Maddalena ET; Jones CN
J Optim Theory Appl; 2024; 201(2):583-608. PubMed ID: 38736457
[TBL] [Abstract][Full Text] [Related]
16. Improved linear classifier model with Nyström.
Zhu C; Ji X; Chen C; Zhou R; Wei L; Zhang X
PLoS One; 2018; 13(11):e0206798. PubMed ID: 30395624
[TBL] [Abstract][Full Text] [Related]
17. Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations.
Martino A; De Santis E; Giuliani A; Rizzi A
Entropy (Basel); 2020 Jul; 22(7):. PubMed ID: 33286565
[TBL] [Abstract][Full Text] [Related]
18. Adaptive soft sensor using stacking approximate kernel based BLS for batch processes.
Zhao J; Yang M; Xu Z; Wang J; Yang X; Wu X
Sci Rep; 2024 Jun; 14(1):12817. PubMed ID: 38834770
[TBL] [Abstract][Full Text] [Related]
19. Adaptive Supervised Learning on Data Streams in Reproducing Kernel Hilbert Spaces with Data Sparsity Constraint.
Wang H; Li Q; Liu Y
Stat; 2023; 12(1):. PubMed ID: 38037648
[TBL] [Abstract][Full Text] [Related]
20. Gaussian Processes and Polynomial Chaos Expansion for Regression Problem: Linkage via the RKHS and Comparison via the KL Divergence.
Yan L; Duan X; Liu B; Xu J
Entropy (Basel); 2018 Mar; 20(3):. PubMed ID: 33265282
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]