These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
2. Approximate inference for disease mapping with sparse Gaussian processes. Vanhatalo J; Pietiläinen V; Vehtari A Stat Med; 2010 Jul; 29(15):1580-607. PubMed ID: 20552572 [TBL] [Abstract][Full Text] [Related]
3. Laplace Approximation for Divisive Gaussian Processes for Nonstationary Regression. Muñoz-González L; Lázaro-Gredilla M; Figueiras-Vidal AR IEEE Trans Pattern Anal Mach Intell; 2016 Mar; 38(3):618-24. PubMed ID: 26890623 [TBL] [Abstract][Full Text] [Related]
4. Fast increased fidelity samplers for approximate Bayesian Gaussian process regression. Moran KR; Wheeler MW J R Stat Soc Series B Stat Methodol; 2022 Sep; 84(4):1198-1228. PubMed ID: 36570797 [TBL] [Abstract][Full Text] [Related]
5. Fast Direct Methods for Gaussian Processes. Ambikasaran S; Foreman-Mackey D; Greengard L; Hogg DW; O'Neil M IEEE Trans Pattern Anal Mach Intell; 2016 Feb; 38(2):252-65. PubMed ID: 26761732 [TBL] [Abstract][Full Text] [Related]
6. Nonparametric mixtures of gaussian processes with power-law behavior. Chatzis S; Demiris Y IEEE Trans Neural Netw Learn Syst; 2012 Dec; 23(12):1862-71. PubMed ID: 24808142 [TBL] [Abstract][Full Text] [Related]
7. Conditional Deep Gaussian Processes: Empirical Bayes Hyperdata Learning. Lu CK; Shafto P Entropy (Basel); 2021 Oct; 23(11):. PubMed ID: 34828085 [TBL] [Abstract][Full Text] [Related]
9. When Gaussian Process Meets Big Data: A Review of Scalable GPs. Liu H; Ong YS; Shen X; Cai J IEEE Trans Neural Netw Learn Syst; 2020 Nov; 31(11):4405-4423. PubMed ID: 31944966 [TBL] [Abstract][Full Text] [Related]
10. Penalized gaussian process regression and classification for high-dimensional nonlinear data. Yi G; Shi JQ; Choi T Biometrics; 2011 Dec; 67(4):1285-94. PubMed ID: 21385168 [TBL] [Abstract][Full Text] [Related]
11. Variational log-Gaussian point-process methods for grid cells. Rule ME; Chaudhuri-Vayalambrone P; Krstulovic M; Bauza M; Krupic J; O'Leary T Hippocampus; 2023 Dec; 33(12):1235-1251. PubMed ID: 37749821 [TBL] [Abstract][Full Text] [Related]
12. Conditional Deep Gaussian Processes: Multi-Fidelity Kernel Learning. Lu CK; Shafto P Entropy (Basel); 2021 Nov; 23(11):. PubMed ID: 34828243 [TBL] [Abstract][Full Text] [Related]
13. Speech Enhancement Using Gaussian Scale Mixture Models. Hao J; Lee TW; Sejnowski TJ IEEE Trans Audio Speech Lang Process; 2010 Aug; 18(6):1127-1136. PubMed ID: 21359139 [TBL] [Abstract][Full Text] [Related]
15. Divisive Gaussian processes for nonstationary regression. Muñoz-González L; Lázaro-Gredilla M; Figueiras-Vidal AR IEEE Trans Neural Netw Learn Syst; 2014 Nov; 25(11):1991-2003. PubMed ID: 25330423 [TBL] [Abstract][Full Text] [Related]
16. Online Regression for Data With Changepoints Using Gaussian Processes and Reusable Models. Grande RC; Walsh TJ; Chowdhary G; Ferguson S; How JP IEEE Trans Neural Netw Learn Syst; 2017 Sep; 28(9):2115-2128. PubMed ID: 27323379 [TBL] [Abstract][Full Text] [Related]
17. Multidimensional NMR inversion without Kronecker products: Multilinear inversion. Medellín D; Ravi VR; Torres-Verdín C J Magn Reson; 2016 Aug; 269():24-35. PubMed ID: 27209370 [TBL] [Abstract][Full Text] [Related]
18. Framelet kernels with applications to support vector regression and regularization networks. Zhang WF; Dai DQ; Yan H IEEE Trans Syst Man Cybern B Cybern; 2010 Aug; 40(4):1128-44. PubMed ID: 19963701 [TBL] [Abstract][Full Text] [Related]
20. Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms. Berns F; Hüwel J; Beecks C SN Comput Sci; 2022; 3(4):300. PubMed ID: 35647556 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]