BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

216 related articles for article (PubMed ID: 26571512)

  • 1. 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]  

  • 2. Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions.
    Fan W; Bouguila N; Du JX; Liu X
    IEEE Trans Neural Netw Learn Syst; 2019 Jun; 30(6):1683-1694. PubMed ID: 30369452
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Variational Hamiltonian Monte Carlo via Score Matching.
    Zhang C; Shahbaba B; Zhao H
    Bayesian Anal; 2018 Jun; 13(2):485-506. PubMed ID: 37151569
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A topology-marginal composite likelihood via a generalized phylogenetic pruning algorithm.
    Jun SH; Nasif H; Jennings-Shaffer C; Rich DH; Kooperberg A; Fourment M; Zhang C; Suchard MA; Matsen FA
    Algorithms Mol Biol; 2023 Jul; 18(1):10. PubMed ID: 37525243
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparing variational Bayes with Markov chain Monte Carlo for Bayesian computation in neuroimaging.
    Nathoo FS; Lesperance ML; Lawson AB; Dean CB
    Stat Methods Med Res; 2013 Aug; 22(4):398-423. PubMed ID: 22642986
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Online learning of a Dirichlet process mixture of Beta-Liouville distributions via variational inference.
    Fan W; Bouguila N
    IEEE Trans Neural Netw Learn Syst; 2013 Nov; 24(11):1850-62. PubMed ID: 24808617
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Variational Bayesian Learning of Generalized Dirichlet-Based Hidden Markov Models Applied to Unusual Events Detection.
    Epaillard E; Bouguila N
    IEEE Trans Neural Netw Learn Syst; 2019 Apr; 30(4):1034-1047. PubMed ID: 30106697
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Stochastic Variational Inference for Bayesian Phylogenetics: A Case of CAT Model.
    Dang T; Kishino H
    Mol Biol Evol; 2019 Apr; 36(4):825-833. PubMed ID: 30715448
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions.
    Fan W; Yang L; Bouguila N
    IEEE Trans Pattern Anal Mach Intell; 2022 Dec; 44(12):9654-9668. PubMed ID: 34784270
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Differentiable samplers for deep latent variable models.
    Doucet A; Moulines E; Thin A
    Philos Trans A Math Phys Eng Sci; 2023 May; 381(2247):20220147. PubMed ID: 36970826
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Modelling transcriptional regulation with a mixture of factor analyzers and variational Bayesian expectation maximization.
    Lin K; Husmeier D
    EURASIP J Bioinform Syst Biol; 2009; 2009(1):601068. PubMed ID: 19572011
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Latent-space variational bayes.
    Sung J; Ghahramani Z; Bang SY
    IEEE Trans Pattern Anal Mach Intell; 2008 Dec; 30(12):2236-42. PubMed ID: 18988955
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Variational Inference via Rényi Bound Optimization and Multiple-Source Adaptation.
    Zalman Oshri D; Fine S
    Entropy (Basel); 2023 Oct; 25(10):. PubMed ID: 37895589
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Hierarchical Bayesian estimates of distributed MEG sources: theoretical aspects and comparison of variational and MCMC methods.
    Nummenmaa A; Auranen T; Hämäläinen MS; Jääskeläinen IP; Lampinen J; Sams M; Vehtari A
    Neuroimage; 2007 Apr; 35(2):669-85. PubMed ID: 17300961
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Variational method for estimating the rate of convergence of Markov-chain Monte Carlo algorithms.
    Casey FP; Waterfall JJ; Gutenkunst RN; Myers CR; Sethna JP
    Phys Rev E Stat Nonlin Soft Matter Phys; 2008 Oct; 78(4 Pt 2):046704. PubMed ID: 18999558
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.