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 *

178 related articles for article (PubMed ID: 12366215)

  • 21. Signal Perceptron: On the Identifiability of Boolean Function Spaces and Beyond.
    Mendez Lucero MA; Karampatsis RM; Bojorquez Gallardo E; Belle V
    Front Artif Intell; 2022; 5():770254. PubMed ID: 35719687
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A new backpropagation learning algorithm for layered neural networks with nondifferentiable units.
    Oohori T; Naganuma H; Watanabe K
    Neural Comput; 2007 May; 19(5):1422-35. PubMed ID: 17381272
    [TBL] [Abstract][Full Text] [Related]  

  • 23. An analytical framework for local feedforward networks.
    Weaver S; Baird L; Polycarpou M
    IEEE Trans Neural Netw; 1998; 9(3):473-82. PubMed ID: 18252471
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Learning with incomplete information in the committee machine.
    Bergmann UM; Kühn R; Stamatescu IO
    Biol Cybern; 2009 Dec; 101(5-6):401-10. PubMed ID: 19888596
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A clinical decision support system using multilayer perceptron neural network to assess well being in diabetes.
    Narasingarao MR; Manda R; Sridhar GR; Madhu K; Rao AA
    J Assoc Physicians India; 2009 Feb; 57():127-33. PubMed ID: 19582980
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Circular backpropagation networks for classification.
    Ridella S; Rovetta S; Zunino R
    IEEE Trans Neural Netw; 1997; 8(1):84-97. PubMed ID: 18255613
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Multilayer Perceptrons to Approximate Quaternion Valued Functions.
    Xibilia MG; Muscato G; Fortuna L; Arena P
    Neural Netw; 1997 Mar; 10(2):335-342. PubMed ID: 12662531
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Statistical mechanics of lossy compression using multilayer perceptrons.
    Mimura K; Okada M
    Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Aug; 74(2 Pt 2):026108. PubMed ID: 17025504
    [TBL] [Abstract][Full Text] [Related]  

  • 29. The Transition to Perfect Generalization in Perceptrons.
    Baum EB; Lyuu YD
    Neural Comput; 1991; 3(3):386-401. PubMed ID: 31167314
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Linear independence of internal representations in multilayer perceptrons.
    Shah JV; Poon CS
    IEEE Trans Neural Netw; 1999; 10(1):10-8. PubMed ID: 18252499
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Scaling in a general class of critical random Boolean networks.
    Mihaljev T; Drossel B
    Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Oct; 74(4 Pt 2):046101. PubMed ID: 17155127
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Statistical estimation of the number of hidden units for feedforward neural networks.
    Fujita O
    Neural Netw; 1998 Jul; 11(5):851-859. PubMed ID: 12662787
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Predicting shifts in generalization gradients with perceptrons.
    Wisniewski MG; Radell ML; Guillette LM; Sturdy CB; Mercado E
    Learn Behav; 2012 Jun; 40(2):128-44. PubMed ID: 21983938
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Mapping Boolean functions with neural networks having binary weights and zero thresholds.
    Deolalikar V
    IEEE Trans Neural Netw; 2001; 12(3):639-42. PubMed ID: 18249898
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Representations and rates of approximation of real-valued Boolean functions by neural networks.
    Kůrková V; Savický P; Hlavácková K
    Neural Netw; 1998 Jun; 11(4):651-659. PubMed ID: 12662803
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Convergence Suppression and Divergence Facilitation: Minimum and Joint Use of Hidden Units by Multiple Outputs.
    Yasui S
    Neural Netw; 1997 Mar; 10(2):353-367. PubMed ID: 12662533
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Capabilities of a four-layered feedforward neural network: four layers versus three.
    Tamura S; Tateishi M
    IEEE Trans Neural Netw; 1997; 8(2):251-5. PubMed ID: 18255629
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Analysis of ensemble learning using simple perceptrons based on online learning theory.
    Miyoshi S; Hara K; Okada M
    Phys Rev E Stat Nonlin Soft Matter Phys; 2005 Mar; 71(3 Pt 2A):036116. PubMed ID: 15903502
    [TBL] [Abstract][Full Text] [Related]  

  • 39. The generalization complexity measure for continuous input data.
    Gómez I; Cannas SA; Osenda O; Jerez JM; Franco L
    ScientificWorldJournal; 2014; 2014():815156. PubMed ID: 24983000
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Implementation of Analog Perceptron as an Essential Element of Configurable Neural Networks.
    Geng C; Sun Q; Nakatake S
    Sensors (Basel); 2020 Jul; 20(15):. PubMed ID: 32751288
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.