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PUBMED FOR HANDHELDS

Journal Abstract Search


527 related items for PubMed ID: 25705220

  • 41.
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  • 42. Complex extreme learning machine applications in terahertz pulsed signals feature sets.
    Yin XX, Hadjiloucas S, Zhang Y.
    Comput Methods Programs Biomed; 2014 Nov; 117(2):387-403. PubMed ID: 25037827
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  • 43.
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  • 45. Ordering and finding the best of K > 2 supervised learning algorithms.
    Yildiz OT, Alpaydin E.
    IEEE Trans Pattern Anal Mach Intell; 2006 Mar; 28(3):392-402. PubMed ID: 16526425
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  • 46.
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  • 47. Is extreme learning machine feasible? A theoretical assessment (part II).
    Lin S, Liu X, Fang J, Xu Z.
    IEEE Trans Neural Netw Learn Syst; 2015 Jan; 26(1):21-34. PubMed ID: 25069128
    [Abstract] [Full Text] [Related]

  • 48. Cost-sensitive AdaBoost algorithm for ordinal regression based on extreme learning machine.
    Riccardi A, Fernández-Navarro F, Carloni S.
    IEEE Trans Cybern; 2014 Oct; 44(10):1898-909. PubMed ID: 25222730
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  • 49. Weakly supervised training of a sign language recognition system using multiple instance learning density matrices.
    Kelly D, Mc Donald J, Markham C.
    IEEE Trans Syst Man Cybern B Cybern; 2011 Apr; 41(2):526-41. PubMed ID: 20875974
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  • 50. EEG classification approach based on the extreme learning machine and wavelet transform.
    Yuan Q, Zhou W, Zhang J, Li S, Cai D, Zeng Y.
    Clin EEG Neurosci; 2012 Apr; 43(2):127-32. PubMed ID: 22715486
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  • 51. Computer-aided diagnosis from weak supervision: a benchmarking study.
    Kandemir M, Hamprecht FA.
    Comput Med Imaging Graph; 2015 Jun; 42():44-50. PubMed ID: 25475486
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  • 52. Graph Embedded Extreme Learning Machine.
    Iosifidis A, Tefas A, Pitas I.
    IEEE Trans Cybern; 2016 Jan; 46(1):311-24. PubMed ID: 25751883
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  • 53. Incremental nonlinear dimensionality reduction by manifold learning.
    Law MH, Jain AK.
    IEEE Trans Pattern Anal Mach Intell; 2006 Mar; 28(3):377-91. PubMed ID: 16526424
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  • 54.
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  • 55. Melanoma Detection by Means of Multiple Instance Learning.
    Astorino A, Fuduli A, Veltri P, Vocaturo E.
    Interdiscip Sci; 2020 Mar; 12(1):24-31. PubMed ID: 31292853
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  • 56.
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  • 57. Comments on "The extreme learning machine".
    Wang LP, Wan CR.
    IEEE Trans Neural Netw; 2008 Aug; 19(8):1494-5; author reply 1495-6. PubMed ID: 18701376
    [Abstract] [Full Text] [Related]

  • 58. Test generation algorithm for fault detection of analog circuits based on extreme learning machine.
    Zhou J, Tian S, Yang C, Ren X.
    Comput Intell Neurosci; 2014 Aug; 2014():740838. PubMed ID: 25610458
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  • 59. Network-based stochastic semisupervised learning.
    Silva TC, Zhao L.
    IEEE Trans Neural Netw Learn Syst; 2012 Mar; 23(3):451-66. PubMed ID: 24808551
    [Abstract] [Full Text] [Related]

  • 60. The Q-norm complexity measure and the minimum gradient method: a novel approach to the machine learning structural risk minimization problem.
    Vieira DA, Takahashi RH, Palade V, Vasconcelos JA, Caminhas WM.
    IEEE Trans Neural Netw; 2008 Aug; 19(8):1415-30. PubMed ID: 18701371
    [Abstract] [Full Text] [Related]


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