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Volumn 1, Issue , 2010, Pages 169-173

Parameter tuning by simple regret algorithms and multiple simultaneous hypothesis testing

Author keywords

Automatic parameter tuning; Monte Carlo tree search; Simple regret

Indexed keywords

COMPUTATIONAL POWER; HIGH-DIMENSIONAL; HYPOTHESIS TESTING; MONTE CARLO; NOISY OPTIMIZATION; NUMBER OF ARMS; NUMBER OF SAMPLES; PARAMETER-TUNING; SIMPLE REGRET; SIMPLE RULES; STATISTICAL GUARANTEE; STATISTICAL VALIDATION; TREE SEARCH ALGORITHM;

EID: 78649672015     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (18)
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  • 3
    • 11144293405 scopus 로고
    • On a modification of chebyshev's inequality and of the error formula of laplace
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    • (1924) Original Publication: Ann. Sci. Inst. Sav. Ukraine, Sect. Math. , vol.1 , Issue.31 , pp. 38-49
    • Bernstein, S.1
  • 4
    • 77952070805 scopus 로고    scopus 로고
    • Pure exploration in multi-armed bandits problems
    • Bubeck, S., Munos, R., and Stoltz, G. (2009). Pure exploration in multi-armed bandits problems. In ALT, pages 23-37.
    • (2009) ALT , pp. 23-37
    • Bubeck, S.1    Munos, R.2    Stoltz, G.3
  • 5
    • 84886995576 scopus 로고    scopus 로고
    • On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers
    • Bruges Belgium
    • Chaslot, G., Hoock, J.-B., Teytaud, F., and Teytaud, O. (2009). On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers. In ESANN, Bruges Belgium.
    • (2009) ESANN
    • Chaslot, G.1    Hoock, J.-B.2    Teytaud, F.3    Teytaud, O.4
  • 8
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    • A simple sequentially rejective multiple test procedure
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    • Holm, S.1
  • 9
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    • Bandit-based genetic programming
    • Accepted in EuroGP 2010. Springer
    • Hoock, J.-B. and Teytaud, O. (2010). Bandit-based genetic programming. In Accepted in EuroGP 2010, LLNCS. Springer.
    • (2010) LLNCS
    • Hoock, J.-B.1    Teytaud, O.2
  • 16
    • 15244358686 scopus 로고    scopus 로고
    • A comparison of random field theory and permutation methods for the statistical analysis of MEG data
    • Pantazis, D., Nichols, T. E., Baillet, S., and Leahy, R. (2005). A comparison of random field theory and permutation methods for the statistical analysis of MEG data. Neuroimage, 25:355-368.
    • (2005) Neuroimage , vol.25 , pp. 355-368
    • Pantazis, D.1    Nichols, T.E.2    Baillet, S.3    Leahy, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.