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Volumn , Issue , 2011, Pages

Budgeted optimization with concurrent stochastic-duration experiments

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BUDGET CONTROL; STOCHASTIC SYSTEMS;

EID: 85162387635     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (10)
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    • 34548563071 scopus 로고    scopus 로고
    • A nonparametric approach to noisy and costly optimization
    • B. S. Anderson, A. Moore, and D. Cohn. A nonparametric approach to noisy and costly optimization. In ICML, 2000.
    • (2000) ICML
    • Anderson, B.S.1    Moore, A.2    Cohn, D.3
  • 2
    • 85162033329 scopus 로고    scopus 로고
    • Batch bayesian optimization via simulation matching
    • J. Azimi, A. Fern, and X. Fern. Batch bayesian optimization via simulation matching. In NIPS, 2010.
    • (2010) NIPS
    • Azimi, J.1    Fern, A.2    Fern, X.3
  • 3
    • 0037337606 scopus 로고    scopus 로고
    • Electricity production by geobacter sulfurreducens attached to electrodes
    • D. Bond and D. Lovley. Electricity production by geobacter sulfurreducens attached to electrodes. Applications of Environmental Microbiology, 69:1548-1555, 2003.
    • (2003) Applications of Environmental Microbiology , vol.69 , pp. 1548-1555
    • Bond, D.1    Lovley, D.2
  • 4
    • 77958068642 scopus 로고    scopus 로고
    • A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning
    • University of British Columbia
    • E. Brochu, M. Cora, and N. de Freitas. A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning. Technical Report TR-2009-23, Department of Computer Science, University of British Columbia, 2009.
    • (2009) Technical Report TR-2009-23, Department of Computer Science
    • Brochu, E.1    Cora, M.2    De Freitas, N.3
  • 5
    • 69149092509 scopus 로고    scopus 로고
    • Optimization of ph and nitrogen for enhanced hydrogen production by synechocystis sp. pcc 6803 via statistical and machine learning methods
    • E. H. Burrows, W.-K. Wong, X. Fern, F. W. Chaplen, and R. L. Ely.Optimization of ph and nitrogen for enhanced hydrogen production by synechocystis sp. pcc 6803 via statistical and machine learning methods. Biotechnology Progress, 25:1009-1017, 2009.
    • (2009) Biotechnology Progress , vol.25 , pp. 1009-1017
    • Burrows, E.H.1    Wong, W.-K.2    Fern, X.3    Chaplen, F.W.4    Ely, R.L.5
  • 6
    • 3543128853 scopus 로고    scopus 로고
    • Parallel rollout for online solution of partially observable markov decision processes
    • H. Chang, R. Givan, and E. Chong. Parallel rollout for online solution of partially observable markov decision processes. Discrete Event Dynamic Systems, 14:309-341, 2004.
    • (2004) Discrete Event Dynamic Systems , vol.14 , pp. 309-341
    • Chang, H.1    Givan, R.2    Chong, E.3
  • 8
    • 0035577808 scopus 로고    scopus 로고
    • A taxonomy of global optimization methods based on response surfaces
    • D. Jones. A taxonomy of global optimization methods based on response surfaces. Journal of GlobalOptimization, pages 345-383, 2001.
    • (2001) Journal of GlobalOptimization , pp. 345-383
    • Jones, D.1
  • 10
    • 0037419705 scopus 로고    scopus 로고
    • Improved fuel cell and electrode designs for producing electricity from microbial degradation
    • D. Park and J. Zeikus. Improved fuel cell and electrode designs for producing electricity from microbial degradation. Biotechnol.Bioeng., 81(3):348-355, 2003.
    • (2003) Biotechnol.Bioeng. , vol.81 , Issue.3 , pp. 348-355
    • Park, D.1    Zeikus, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.