BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

119 related articles for article (PubMed ID: 38458005)

  • 1. Low dimensional approximation and generalization of multivariate functions on smooth manifolds using deep ReLU neural networks.
    Labate D; Shi J
    Neural Netw; 2024 Jun; 174():106223. PubMed ID: 38458005
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Optimal approximation of piecewise smooth functions using deep ReLU neural networks.
    Petersen P; Voigtlaender F
    Neural Netw; 2018 Dec; 108():296-330. PubMed ID: 30245431
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A deep network construction that adapts to intrinsic dimensionality beyond the domain.
    Cloninger A; Klock T
    Neural Netw; 2021 Sep; 141():404-419. PubMed ID: 34146968
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep ReLU neural networks in high-dimensional approximation.
    Dũng D; Nguyen VK
    Neural Netw; 2021 Oct; 142():619-635. PubMed ID: 34392126
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Dimension independent bounds for general shallow networks.
    Mhaskar HN
    Neural Netw; 2020 Mar; 123():142-152. PubMed ID: 31869651
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Smooth Function Approximation by Deep Neural Networks with General Activation Functions.
    Ohn I; Kim Y
    Entropy (Basel); 2019 Jun; 21(7):. PubMed ID: 33267341
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Approximation of smooth functionals using deep ReLU networks.
    Song L; Liu Y; Fan J; Zhou DX
    Neural Netw; 2023 Sep; 166():424-436. PubMed ID: 37549610
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Simultaneous neural network approximation for smooth functions.
    Hon S; Yang H
    Neural Netw; 2022 Oct; 154():152-164. PubMed ID: 35882083
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations.
    Belomestny D; Naumov A; Puchkin N; Samsonov S
    Neural Netw; 2023 Apr; 161():242-253. PubMed ID: 36774863
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A direct approach for function approximation on data defined manifolds.
    Mhaskar HN
    Neural Netw; 2020 Dec; 132():253-268. PubMed ID: 32927428
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth.
    Shen Z; Yang H; Zhang S
    Neural Comput; 2021 Mar; 33(4):1005-1036. PubMed ID: 33513325
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Neural networks with ReLU powers need less depth.
    Cabanilla KIM; Mohammad RZ; Lope JEC
    Neural Netw; 2024 Apr; 172():106073. PubMed ID: 38159509
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Neural network approximation: Three hidden layers are enough.
    Shen Z; Yang H; Zhang S
    Neural Netw; 2021 Sep; 141():160-173. PubMed ID: 33906082
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Theory of deep convolutional neural networks: Downsampling.
    Zhou DX
    Neural Netw; 2020 Apr; 124():319-327. PubMed ID: 32036229
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem.
    Montanelli H; Yang H
    Neural Netw; 2020 Sep; 129():1-6. PubMed ID: 32473577
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Approximate Policy Iteration With Deep Minimax Average Bellman Error Minimization.
    Kang L; Liu Y; Luo Y; Yang JZ; Yuan H; Zhu C
    IEEE Trans Neural Netw Learn Syst; 2024 Jan; PP():. PubMed ID: 38194389
    [TBL] [Abstract][Full Text] [Related]  

  • 17. High-Dimensional Function Approximation With Neural Networks for Large Volumes of Data.
    Andras P
    IEEE Trans Neural Netw Learn Syst; 2018 Feb; 29(2):500-508. PubMed ID: 28129193
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Error bounds for approximations with deep ReLU networks.
    Yarotsky D
    Neural Netw; 2017 Oct; 94():103-114. PubMed ID: 28756334
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Efficient Approximation of High-Dimensional Functions With Neural Networks.
    Cheridito P; Jentzen A; Rossmannek F
    IEEE Trans Neural Netw Learn Syst; 2022 Jul; 33(7):3079-3093. PubMed ID: 33513112
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness.
    Jin P; Lu L; Tang Y; Karniadakis GE
    Neural Netw; 2020 Oct; 130():85-99. PubMed ID: 32650153
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.