BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

163 related articles for article (PubMed ID: 33737630)

  • 1. A cautionary tale for machine learning generated configurations in presence of a conserved quantity.
    Azizi A; Pleimling M
    Sci Rep; 2021 Mar; 11(1):6395. PubMed ID: 33737630
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The Capabilities of Boltzmann Machines to Detect and Reconstruct Ising System's Configurations from a Given Temperature.
    Valle MA
    Entropy (Basel); 2023 Dec; 25(12):. PubMed ID: 38136529
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Thermodynamics of the Ising Model Encoded in Restricted Boltzmann Machines.
    Gu J; Zhang K
    Entropy (Basel); 2022 Nov; 24(12):. PubMed ID: 36554106
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Simulating disordered quantum Ising chains via dense and sparse restricted Boltzmann machines.
    Pilati S; Pieri P
    Phys Rev E; 2020 Jun; 101(6-1):063308. PubMed ID: 32688495
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Short-sighted deep learning.
    Koch EM; Koch AM; Kastanos N; Cheng L
    Phys Rev E; 2020 Jul; 102(1-1):013307. PubMed ID: 32795065
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Autoencoder and restricted Boltzmann machine for transfer learning in functional magnetic resonance imaging task classification.
    Hwang J; Lustig N; Jung M; Lee JH
    Heliyon; 2023 Jul; 9(7):e18086. PubMed ID: 37519689
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Unsupervised machine learning account of magnetic transitions in the Hubbard model.
    Ch'ng K; Vazquez N; Khatami E
    Phys Rev E; 2018 Jan; 97(1-1):013306. PubMed ID: 29448449
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Noise-injected analog Ising machines enable ultrafast statistical sampling and machine learning.
    Böhm F; Alonso-Urquijo D; Verschaffelt G; Van der Sande G
    Nat Commun; 2022 Oct; 13(1):5847. PubMed ID: 36195589
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Scale-invariant feature extraction of neural network and renormalization group flow.
    Iso S; Shiba S; Yokoo S
    Phys Rev E; 2018 May; 97(5-1):053304. PubMed ID: 29906949
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Expected energy-based restricted Boltzmann machine for classification.
    Elfwing S; Uchibe E; Doya K
    Neural Netw; 2015 Apr; 64():29-38. PubMed ID: 25318375
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Barriers and dynamical paths in alternating Gibbs sampling of restricted Boltzmann machines.
    Roussel C; Cocco S; Monasson R
    Phys Rev E; 2021 Sep; 104(3-1):034109. PubMed ID: 34654094
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Discovering phases, phase transitions, and crossovers through unsupervised machine learning: A critical examination.
    Hu W; Singh RRP; Scalettar RT
    Phys Rev E; 2017 Jun; 95(6-1):062122. PubMed ID: 28709189
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Extending machine learning classification capabilities with histogram reweighting.
    Bachtis D; Aarts G; Lucini B
    Phys Rev E; 2020 Sep; 102(3-1):033303. PubMed ID: 33075969
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Generating the conformational properties of a polymer by the restricted Boltzmann machine.
    Yu W; Liu Y; Chen Y; Jiang Y; Chen JZY
    J Chem Phys; 2019 Jul; 151(3):031101. PubMed ID: 31325918
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Universality of a two-dimensional Ising ferromagnetic fluid near the second-order magnetic phase transition.
    Korneta W
    Phys Rev E Stat Nonlin Soft Matter Phys; 2001 Oct; 64(4 Pt 1):041109. PubMed ID: 11690012
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
    Burton W; Myers C; Rullkoetter P
    Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins.
    Tubiana J; Cocco S; Monasson R
    Neural Comput; 2019 Aug; 31(8):1671-1717. PubMed ID: 31260391
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Exploring cluster Monte Carlo updates with Boltzmann machines.
    Wang L
    Phys Rev E; 2017 Nov; 96(5-1):051301. PubMed ID: 29347705
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Measuring the usefulness of hidden units in Boltzmann machines with mutual information.
    Berglund M; Raiko T; Cho K
    Neural Netw; 2015 Apr; 64():12-8. PubMed ID: 25318376
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Boosting Monte Carlo simulations of spin glasses using autoregressive neural networks.
    McNaughton B; Milošević MV; Perali A; Pilati S
    Phys Rev E; 2020 May; 101(5-1):053312. PubMed ID: 32575304
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.