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Volumn , Issue , 2017, Pages

Improved strongly adaptive online learning using coin betting

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; E-LEARNING;

EID: 85083937416     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (101)

References (14)
  • 2
    • 0030819669 scopus 로고    scopus 로고
    • Empirical support for winnow and weighted-majority algorithms: Results on a calendar scheduling domain
    • A. Blum and A. Blum, “Empirical Support for Winnow and Weighted-Majority Algorithms: Results on a Calendar Scheduling Domain,” Machine Learning, vol. 26, no. 1, pp. 5–23, 1997.
    • (1997) Machine Learning , vol.26 , Issue.1 , pp. 5-23
    • Blum, A.1    Blum, A.2
  • 9
    • 85038403972 scopus 로고    scopus 로고
    • Adaptive algorithms for online decision problems
    • E. Hazan and C. Seshadhri, “Adaptive Algorithms for Online Decision Problems,” IBM Research Report, vol. 10418, pp. 1–19, 2007.
    • (2007) IBM Research Report , vol.10418 , pp. 1-19
    • Hazan, E.1    Seshadhri, C.2
  • 10
    • 0032137328 scopus 로고    scopus 로고
    • Tracking the best expert
    • M. Herbster and M. K. Warmuth, “Tracking the Best Expert,” Mach. Learn., vol. 32, no. 2, pp. 151–178, 1998.
    • (1998) Mach. Learn. , vol.32 , Issue.2 , pp. 151-178
    • Herbster, M.1    Warmuth, M.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.