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Volumn , Issue , 2015, Pages 261-266

Model selection for Big Data: Algorithmic stability and Bag of Little Bootstraps on GPUs

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; NEURAL NETWORKS; PROGRAM PROCESSORS; SUPPORT VECTOR MACHINES;

EID: 84961806564     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (23)
  • 4
    • 84961841372 scopus 로고    scopus 로고
    • On the computational and statistical interface and big data
    • M. I. Jordan. On the computational and statistical interface and big data. In Conference on Learning Theory, 2014.
    • (2014) Conference on Learning Theory
    • Jordan, M.I.1
  • 11
    • 1842420581 scopus 로고    scopus 로고
    • General conditions for predictivity in learning theory
    • T. Poggio, R. Rifkin, S. Mukherjee, and P. Niyogi. General conditions for predictivity in learning theory. Nature, 428(6981):419-422, 2004.
    • (2004) Nature , vol.428 , Issue.6981 , pp. 419-422
    • Poggio, T.1    Rifkin, R.2    Mukherjee, S.3    Niyogi, P.4
  • 13
    • 80051584618 scopus 로고    scopus 로고
    • GPU-accelerated and parallelized elm ensembles for large-scale regression
    • M. Heeswijk, Y. Miche, E. Oja, and A. Lendasse. Gpu-accelerated and parallelized elm ensembles for large-scale regression. Neurocomputing, 74(16):2430-2437, 2011.
    • (2011) Neurocomputing , vol.74 , Issue.16 , pp. 2430-2437
    • Heeswijk, M.1    Miche, Y.2    Oja, E.3    Lendasse, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.