These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

108 related articles for article (PubMed ID: 12662502)

  • 1. Estimating Learning Curves of Concept Learning.
    Takahashi H; Gu H
    Neural Netw; 1997 Aug; 10(6):1089-1102. PubMed ID: 12662502
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Towards more practical average bounds on supervised learning.
    Gu H; Takahashi H
    IEEE Trans Neural Netw; 1996; 7(4):953-68. PubMed ID: 18263490
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Generalization and PAC learning: some new results for the class of generalized single-layer networks.
    Holden SB; Rayner PW
    IEEE Trans Neural Netw; 1995; 6(2):368-80. PubMed ID: 18263319
    [TBL] [Abstract][Full Text] [Related]  

  • 4. To understand double descent, we need to understand VC theory.
    Cherkassky V; Lee EH
    Neural Netw; 2024 Jan; 169():242-256. PubMed ID: 37913656
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A tight bound on concept learning.
    Takahashi H; Gu H
    IEEE Trans Neural Netw; 1998; 9(6):1191-202. PubMed ID: 18255802
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Another look at statistical learning theory and regularization.
    Cherkassky V; Ma Y
    Neural Netw; 2009 Sep; 22(7):958-69. PubMed ID: 19443179
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Survey on Scenario Theory, Complexity, and Compression-Based Learning and Generalization.
    Rocchetta R; Mey A; Oliehoek FA
    IEEE Trans Neural Netw Learn Syst; 2023 Sep; PP():. PubMed ID: 37703153
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Algorithm-Dependent Generalization Bounds for Multi-Task Learning.
    Liu T; Tao D; Song M; Maybank SJ
    IEEE Trans Pattern Anal Mach Intell; 2017 Feb; 39(2):227-241. PubMed ID: 27019472
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Learning curves for Gaussian process regression: approximations and bounds.
    Sollich P; Halees A
    Neural Comput; 2002 Jun; 14(6):1393-428. PubMed ID: 12020452
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds.
    Meir R; Zeevi AJ
    Neural Netw; 1997 Jan; 10(1):99-109. PubMed ID: 12662890
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Robust PAC
    Zecchin M; Park S; Simeone O; Kountouris M; Gesbert D
    IEEE Trans Neural Netw Learn Syst; 2023 Jul; PP():. PubMed ID: 37486838
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Performance Bounds for Single Layer Threshold Networks when Tracking a Drifting Adversary.
    Kuh A; Tian X
    Neural Netw; 1997 Jul; 10(5):897-906. PubMed ID: 12662878
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Model complexity control for regression using VC generalization bounds.
    Cherkassky V; Shao X; Mulier FM; Vapnik VN
    IEEE Trans Neural Netw; 1999; 10(5):1075-89. PubMed ID: 18252610
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Towards a Unified Theory of Learning and Information.
    Alabdulmohsin I
    Entropy (Basel); 2020 Apr; 22(4):. PubMed ID: 33286212
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability.
    Schmidhuber J
    Neural Netw; 1997 Jul; 10(5):857-873. PubMed ID: 12662875
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Vapnik-Chervonenkis dimension of graph and recursive neural networks.
    Scarselli F; Tsoi AC; Hagenbuchner M
    Neural Netw; 2018 Dec; 108():248-259. PubMed ID: 30219742
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Generalization ability of fractional polynomial models.
    Lei Y; Ding L; Ding Y
    Neural Netw; 2014 Jan; 49():59-73. PubMed ID: 24140985
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation.
    Harrison RF; Lim CP
    Neural Netw; 1997 Jul; 10(5):925-939. PubMed ID: 12662880
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Motion estimation using Statistical Learning Theory.
    Wechsler H; Duric Z; Li F; Cherkassky V
    IEEE Trans Pattern Anal Mach Intell; 2004 Apr; 26(4):466-78. PubMed ID: 15382651
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Still No Free Lunches: The Price to Pay for Tighter PAC-Bayes Bounds.
    Guedj B; Pujol L
    Entropy (Basel); 2021 Nov; 23(11):. PubMed ID: 34828227
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.