BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 23520254)

  • 41. 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]  

  • 42. Variational Bayes solution of linear neural networks and its generalization performance.
    Nakajima S; Watanabe S
    Neural Comput; 2007 Apr; 19(4):1112-53. PubMed ID: 17348777
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Bayesian Gaussian process classification with the EM-EP algorithm.
    Kim HC; Ghahramani Z
    IEEE Trans Pattern Anal Mach Intell; 2006 Dec; 28(12):1948-59. PubMed ID: 17108369
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Visual recognition and inference using dynamic overcomplete sparse learning.
    Murray JF; Kreutz-Delgado K
    Neural Comput; 2007 Sep; 19(9):2301-52. PubMed ID: 17650062
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Interpretable Probabilistic Latent Variable Models for Automatic Annotation of Clinical Text.
    Kotov A; Hasan M; Carcone A; Dong M; Naar-King S; BroganHartlieb K
    AMIA Annu Symp Proc; 2015; 2015():785-94. PubMed ID: 26958214
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Gaussian hierarchical latent Dirichlet allocation: Bringing polysemy back.
    Yoshida T; Hisano R; Ohnishi T
    PLoS One; 2023; 18(7):e0288274. PubMed ID: 37436968
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Multinomial Bayesian learning for modeling classical and nonclassical receptive field properties.
    Hosoya H
    Neural Comput; 2012 Aug; 24(8):2119-50. PubMed ID: 22509962
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Density-Preserving Hierarchical EM Algorithm: Simplifying Gaussian Mixture Models for Approximate Inference.
    Lei Yu ; Tianyu Yang ; Chan AB
    IEEE Trans Pattern Anal Mach Intell; 2019 Jun; 41(6):1323-1337. PubMed ID: 29994194
    [TBL] [Abstract][Full Text] [Related]  

  • 49. On the relationship between deterministic and probabilistic directed Graphical models: from Bayesian networks to recursive neural networks.
    Baldi P; Rosen-Zvi M
    Neural Netw; 2005 Oct; 18(8):1080-6. PubMed ID: 16157470
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Impact of censoring on learning Bayesian networks in survival modelling.
    Stajduhar I; Dalbelo-Basić B; Bogunović N
    Artif Intell Med; 2009 Nov; 47(3):199-217. PubMed ID: 19833488
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Using phrases and document metadata to improve topic modeling of clinical reports.
    Speier W; Ong MK; Arnold CW
    J Biomed Inform; 2016 Jun; 61():260-6. PubMed ID: 27109931
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics.
    Abdulsamad H; Nickl P; Klink P; Peters J
    IEEE Trans Pattern Anal Mach Intell; 2024 Apr; 46(4):1950-1963. PubMed ID: 37698971
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Max-Margin Deep Diverse Latent Dirichlet Allocation With Continual Learning.
    Chen W; Chen B; Liu Y; Cao X; Zhao Q; Zhang H; Tian L
    IEEE Trans Cybern; 2022 Jul; 52(7):5639-5653. PubMed ID: 33729964
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Active Inference, Belief Propagation, and the Bethe Approximation.
    Schwöbel S; Kiebel S; Marković D
    Neural Comput; 2018 Sep; 30(9):2530-2567. PubMed ID: 29949461
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Online variational inference for state-space models with point-process observations.
    Mangion AZ; Yuan K; Kadirkamanathan V; Niranjan M; Sanguinetti G
    Neural Comput; 2011 Aug; 23(8):1967-99. PubMed ID: 21521047
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Estimating functional groups in human gut microbiome with probabilistic topic models.
    Chen X; He T; Hu X; Zhou Y; An Y; Wu X
    IEEE Trans Nanobioscience; 2012 Sep; 11(3):203-15. PubMed ID: 22987126
    [TBL] [Abstract][Full Text] [Related]  

  • 57. H-CORE: enabling genome-scale Bayesian analysis of biological systems without prior knowledge.
    Jung S; Lee KH; Lee D
    Biosystems; 2007; 90(1):197-210. PubMed ID: 17005318
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Join-Graph Propagation Algorithms.
    Mateescu R; Kask K; Gogate V; Dechter R
    J Artif Intell Res; 2010 Jan; 37():279-328. PubMed ID: 20740057
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Learning unbelievable probabilities.
    Pitkow X; Ahmadian Y; Miller KD
    Adv Neural Inf Process Syst; 2011 Dec; 24():738-746. PubMed ID: 28781497
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Classical and Bayesian inference in neuroimaging: applications.
    Friston KJ; Glaser DE; Henson RN; Kiebel S; Phillips C; Ashburner J
    Neuroimage; 2002 Jun; 16(2):484-512. PubMed ID: 12030833
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.