BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

121 related articles for article (PubMed ID: 36279334)

  • 1. Bayesian Estimation of Inverted Beta Mixture Models With Extended Stochastic Variational Inference for Positive Vector Classification.
    Lai Y; Guan W; Luo L; Guo Y; Song H; Meng H
    IEEE Trans Neural Netw Learn Syst; 2024 May; 35(5):6948-6962. PubMed ID: 36279334
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Dirichlet Process Mixture of Generalized Inverted Dirichlet Distributions for Positive Vector Data With Extended Variational Inference.
    Ma Z; Lai Y; Xie J; Meng D; Kleijn WB; Guo J; Yu J
    IEEE Trans Neural Netw Learn Syst; 2022 Nov; 33(11):6089-6102. PubMed ID: 34086578
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling.
    Ma Z; Lai Y; Kleijn WB; Song YZ; Wang L; Guo J
    IEEE Trans Neural Netw Learn Syst; 2019 Feb; 30(2):449-463. PubMed ID: 29994731
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling.
    Ma Z; Xie J; Lai Y; Taghia J; Xue JH; Guo J
    IEEE Trans Neural Netw Learn Syst; 2020 Jul; 31(7):2240-2254. PubMed ID: 30908264
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference.
    Taghia J; Ma Z; Leijon A
    IEEE Trans Pattern Anal Mach Intell; 2014 Sep; 36(9):1701-15. PubMed ID: 26352226
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian estimation of beta mixture models with variational inference.
    Ma Z; Leijon A
    IEEE Trans Pattern Anal Mach Intell; 2011 Nov; 33(11):2160-73. PubMed ID: 21422484
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Variationally Inferred Sampling through a Refined Bound.
    Gallego V; Ríos Insua D
    Entropy (Basel); 2021 Jan; 23(1):. PubMed ID: 33477766
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding.
    Uğur Y; Arvanitakis G; Zaidi A
    Entropy (Basel); 2020 Feb; 22(2):. PubMed ID: 33285988
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Variational Inference for Watson Mixture Model.
    Taghia J; Leijon A
    IEEE Trans Pattern Anal Mach Intell; 2016 Sep; 38(9):1886-900. PubMed ID: 26571512
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Sampling the Variational Posterior with Local Refinement.
    Havasi M; Snoek J; Tran D; Gordon J; Hernández-Lobato JM
    Entropy (Basel); 2021 Nov; 23(11):. PubMed ID: 34828173
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Scalable Bayesian Approach for the Dina Q-Matrix Estimation Combining Stochastic Optimization and Variational Inference.
    Oka M; Okada K
    Psychometrika; 2023 Mar; 88(1):302-331. PubMed ID: 36097246
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Stochastic variational variable selection for high-dimensional microbiome data.
    Dang T; Kumaishi K; Usui E; Kobori S; Sato T; Toda Y; Yamasaki Y; Tsujimoto H; Ichihashi Y; Iwata H
    Microbiome; 2022 Dec; 10(1):236. PubMed ID: 36566203
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Efficient variational Bayesian approximation method based on subspace optimization.
    Zheng Y; Fraysse A; Rodet T
    IEEE Trans Image Process; 2015 Feb; 24(2):681-93. PubMed ID: 25532179
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multioutput Gaussian Process Model.
    Giraldo JJ; Alvarez MA
    IEEE Trans Neural Netw Learn Syst; 2022 Nov; 33(11):6429-6442. PubMed ID: 34029199
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A stochastic variational framework for Recurrent Gaussian Processes models.
    Mattos CLC; Barreto GA
    Neural Netw; 2019 Apr; 112():54-72. PubMed ID: 30753963
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds.
    Tsilifis P; Pandita P; Ghosh S; Wang L
    Entropy (Basel); 2022 Sep; 24(9):. PubMed ID: 36141177
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Flexible and Efficient Inference with Particles for the Variational Gaussian Approximation.
    Galy-Fajou T; Perrone V; Opper M
    Entropy (Basel); 2021 Jul; 23(8):. PubMed ID: 34441130
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Beyond prediction: A framework for inference with variational approximations in mixture models.
    Westling T; McCormick TH
    J Comput Graph Stat; 2019; 28(4):778-789. PubMed ID: 32713999
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Variational mean-field algorithm for efficient inference in large systems of stochastic differential equations.
    Vrettas MD; Opper M; Cornford D
    Phys Rev E Stat Nonlin Soft Matter Phys; 2015 Jan; 91(1):012148. PubMed ID: 25679611
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods.
    Liu H; Ong YS; Yu Z; Cai J; Shen X
    IEEE Trans Cybern; 2022 Jul; 52(7):5842-5854. PubMed ID: 33449897
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.