BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

115 related articles for article (PubMed ID: 36315540)

  • 1. Online Stochastic DCA With Applications to Principal Component Analysis.
    Le Thi HA; Luu HPH; Dinh TP
    IEEE Trans Neural Netw Learn Syst; 2024 May; 35(5):7035-7047. PubMed ID: 36315540
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Markov chain stochastic DCA and applications in deep learning with PDEs regularization.
    Luu HPH; Le HM; Le Thi HA
    Neural Netw; 2024 Feb; 170():149-166. PubMed ID: 37984042
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression.
    Le Thi HA; Le HM; Phan DN; Tran B
    Neural Netw; 2020 Dec; 132():220-231. PubMed ID: 32919312
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Sparse Covariance Matrix Estimation by DCA-Based Algorithms.
    Phan DN; Le Thi HA; Dinh TP
    Neural Comput; 2017 Nov; 29(11):3040-3077. PubMed ID: 28957024
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Online Learning Based on Online DCA and Application to Online Classification.
    Le Thi HA; Ho VT
    Neural Comput; 2020 Apr; 32(4):759-793. PubMed ID: 32069174
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Painless Stochastic Conjugate Gradient for Large-Scale Machine Learning.
    Yang Z
    IEEE Trans Neural Netw Learn Syst; 2023 Jun; PP():. PubMed ID: 37285250
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Stochastic learning via optimizing the variational inequalities.
    Tao Q; Gao QK; Chu DJ; Wu GW
    IEEE Trans Neural Netw Learn Syst; 2014 Oct; 25(10):1769-78. PubMed ID: 25291732
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Stochastic proximal gradient methods for nonconvex problems in Hilbert spaces.
    Geiersbach C; Scarinci T
    Comput Optim Appl; 2021; 78(3):705-740. PubMed ID: 33707813
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Efficient Nonnegative Matrix Factorization by DC Programming and DCA.
    Le Thi HA; Vo XT; Dinh TP
    Neural Comput; 2016 Jun; 28(6):1163-216. PubMed ID: 27136704
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A subgradient-based neurodynamic algorithm to constrained nonsmooth nonconvex interval-valued optimization.
    Liu J; Liao X; Dong JS; Mansoori A
    Neural Netw; 2023 Mar; 160():259-273. PubMed ID: 36709530
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A proof of convergence of the concave-convex procedure using Zangwill's theory.
    Sriperumbudur BK; Lanckriet GR
    Neural Comput; 2012 Jun; 24(6):1391-407. PubMed ID: 22364501
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Feature selection for linear SVMs under uncertain data: robust optimization based on difference of convex functions algorithms.
    Le Thi HA; Vo XT; Pham Dinh T
    Neural Netw; 2014 Nov; 59():36-50. PubMed ID: 25064040
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Stochastic convex sparse principal component analysis.
    Baytas IM; Lin K; Wang F; Jain AK; Zhou J
    EURASIP J Bioinform Syst Biol; 2016 Dec; 2016(1):15. PubMed ID: 27660635
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Direct-Optimization-Based DC Dictionary Learning With the MCP Regularizer.
    Li Z; Yang Z; Zhao H; Xie S
    IEEE Trans Neural Netw Learn Syst; 2023 Jul; 34(7):3568-3579. PubMed ID: 34633934
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Stochastic Training of Neural Networks via Successive Convex Approximations.
    Scardapane S; Di Lorenzo P
    IEEE Trans Neural Netw Learn Syst; 2018 Oct; 29(10):4947-4956. PubMed ID: 29994756
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Dualityfree Methods for Stochastic Composition Optimization.
    Liu L; Liu J; Tao D
    IEEE Trans Neural Netw Learn Syst; 2019 Apr; 30(4):1205-1217. PubMed ID: 30222587
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Block clustering based on difference of convex functions (DC) programming and DC algorithms.
    Le HM; Le Thi HA; Dinh TP; Huynh VN
    Neural Comput; 2013 Oct; 25(10):2776-807. PubMed ID: 23777526
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An Extended Primal-Dual Algorithm Framework for Nonconvex Problems: Application to Image Reconstruction in Spectral CT.
    Gao Y; Pan X; Chen C
    Inverse Probl; 2022 Aug; 38(8):. PubMed ID: 36185463
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai-Borwein Stepsizes.
    Yu T; Liu XW; Dai YH; Sun J
    IEEE Trans Neural Netw Learn Syst; 2021 Oct; 32(10):4627-4638. PubMed ID: 33021942
    [TBL] [Abstract][Full Text] [Related]  

  • 20. From deterministic to stochastic: an interpretable stochastic model-free reinforcement learning framework for portfolio optimization.
    Song Z; Wang Y; Qian P; Song S; Coenen F; Jiang Z; Su J
    Appl Intell (Dordr); 2023; 53(12):15188-15203. PubMed ID: 36405345
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.