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Volumn , Issue , 2008, Pages 25-32

Using machine learning for non-intrusive modeling and prediction of software aging

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; ARTIFICIAL INTELLIGENCE; BENCHMARKING; CLASSIFICATION (OF INFORMATION); DEGRADATION; EDUCATION; FORECASTING; LEARNING ALGORITHMS; LEARNING SYSTEMS; ROBOT LEARNING; SERVERS; SULFATE MINERALS; UBIQUITOUS COMPUTING;

EID: 51849142824     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NOMS.2008.4575113     Document Type: Conference Paper
Times cited : (58)

References (18)
  • 9
    • 0000916783 scopus 로고    scopus 로고
    • Practical feature subset selection for machine learning
    • University of Western Australia, Perth, Australia, February
    • M. Hall and L. Smith. Practical feature subset selection for machine learning. In Proceedings 21st Australasian Computer Science Conference, University of Western Australia, Perth, Australia, February 1996.
    • (1996) Proceedings 21st Australasian Computer Science Conference
    • Hall, M.1    Smith, L.2
  • 14
    • 18244427956 scopus 로고    scopus 로고
    • Optimal software rejuvenation for tolerating soft failures
    • András Pfening, Sachin Garg, Antonio Puliafito, Miklós Telek, and Kishor S. Trivedi. Optimal software rejuvenation for tolerating soft failures. Perform. Eval, 27/28(4):491-506, 1996.
    • (1996) Perform. Eval , vol.27-28 , Issue.4 , pp. 491-506
    • Pfening, A.1    Garg, S.2    Puliafito, A.3    Telek, M.4    Trivedi, K.S.5
  • 15
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Cambridge, MA, MIT Press
    • J. Platt. Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Advances in Kernel Methods - Support Vector Learning, pages 185-208, Cambridge, MA, 1999. MIT Press.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 185-208
    • Platt, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.