메뉴 건너뛰기




Volumn , Issue , 2005, Pages 324-331

Near-optimal nonmyopic value of information in graphical models

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPLEX NETWORKS; GRAPHIC METHODS; SENSOR NETWORKS;

EID: 67650691734     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (307)

References (20)
  • 1
    • 31144477698 scopus 로고    scopus 로고
    • Learning diagnostic policies from examples by systematic search
    • V. Bayer-Zubek. Learning diagnostic policies from examples by systematic search. In UAI, 2004.
    • (2004) UAI
    • Bayer-Zubek, V.1
  • 4
    • 0005012692 scopus 로고    scopus 로고
    • Myopic value of information in influence diagrams
    • S. Dittmer and F. Jensen. Myopic value of information in influence diagrams. In UAI, pages 142-149, 1997.
    • (1997) UAI , pp. 142-149
    • Dittmer, S.1    Jensen, F.2
  • 5
    • 0032108328 scopus 로고    scopus 로고
    • A Threshold of ln n for Approximating Set Cover
    • U. Feige. A threshold of ln n for approximating set cover. Journal of the ACM, 45(4):634-652, July 1998. (Pubitemid 128488790)
    • (1998) Journal of the ACM , vol.45 , Issue.4 , pp. 634-652
    • Feige, U.1
  • 6
    • 0018020371 scopus 로고
    • Polymatroidal dependence structure of a set of random variables
    • S. Fujishige. Polymatroidal dependence structure of a set of random variables. Inform. Contr., 39:55-72, 1978. (Pubitemid 9408951)
    • (1978) Inf Control , vol.39 , Issue.1 , pp. 55-72
    • Fujishige, S.1
  • 8
    • 80053247285 scopus 로고    scopus 로고
    • Near-optimal sensor placements in gaussian processes
    • submitted to ICML 2005
    • C. Guestrin, A. Krause, and A. Singh. Near-optimal sensor placements in gaussian processes. In CMU-CALD-05-102, submitted to ICML 2005, 2005.
    • (2005) CMU-CALD-05-102
    • Guestrin, C.1    Krause, A.2    Singh, A.3
  • 9
    • 0027556865 scopus 로고
    • An approximate nonmyopic computation for value of information
    • D. Heckerman, E. Horvitz, and B. Middleton. An approximate nonmyopic computation for value of information. IEEE TPAMI, 15:292-298, 1993.
    • (1993) IEEE TPAMI , vol.15 , pp. 292-298
    • Heckerman, D.1    Horvitz, E.2    Middleton, B.3
  • 10
    • 84947403595 scopus 로고
    • Probability inequalities for sums of bounded random variables
    • W. Hoeffding. Probability inequalities for sums of bounded random variables. Journal of the American Statistical Association, 58(301):13-30, 1963.
    • (1963) Journal of the American Statistical Association , vol.58 , Issue.301 , pp. 13-30
    • Hoeffding, W.1
  • 11
    • 0032614948 scopus 로고    scopus 로고
    • The budgeted maximum coverage problem
    • S. Khuller, A. Moss, and J. Naor. The budgeted maximum coverage problem. Inf Proc Let, 70(1):39-45, 1999.
    • (1999) Inf Proc Let , vol.70 , Issue.1 , pp. 39-45
    • Khuller, S.1    Moss, A.2    Naor, J.3
  • 12
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi. Optimization by simulated annealing. Science, 220:671-680, 1983.
    • (1983) Science , vol.220 , pp. 671-680
    • Kirkpatrick, S.1    Gelatt, C.D.2    Vecchi, M.P.3
  • 13
    • 0000674872 scopus 로고
    • An exact algorithm for maximum entropy sampling
    • C. Ko, J. Lee, and M. Queyranne. An exact algorithm for maximum entropy sampling. OR, 43(4):684-691, 1995.
    • (1995) OR , vol.43 , Issue.4 , pp. 684-691
    • Ko, C.1    Lee, J.2    Queyranne, M.3
  • 15
    • 84877776459 scopus 로고    scopus 로고
    • Optimal nonmyopic value of information in graphical models -efficient algorithms and theoretical limits
    • A. Krause and C. Guestrin. Optimal nonmyopic value of information in graphical models -efficient algorithms and theoretical limits. In Proc. of IJCAI, 2005.
    • (2005) Proc. of IJCAI
    • Krause, A.1    Guestrin, C.2
  • 16
    • 0000095809 scopus 로고
    • An analysis of the approximations for maximizing submodular set functions
    • G. Nemhauser, L. Wolsey, and M. Fisher. An analysis of the approximations for maximizing submodular set functions. Mathematical Programming, 14:265-294, 1978.
    • (1978) Mathematical Programming , vol.14 , pp. 265-294
    • Nemhauser, G.1    Wolsey, L.2    Fisher, M.3
  • 18
    • 0142029543 scopus 로고    scopus 로고
    • A note on maximizing a submodular set function subject to knapsack constraint
    • M. Sviridenko. A note on maximizing a submodular set function subject to knapsack constraint. Operations Research Letters, 32:41-43, 2004.
    • (2004) Operations Research Letters , vol.32 , pp. 41-43
    • Sviridenko, M.1
  • 20
    • 3743095193 scopus 로고
    • Selective evidence gathering for diagnostic belief networks
    • L. van der Gaag and M.Wessels. Selective evidence gathering for diagnostic belief networks. AISB Q, 86:23-34, 1993.
    • (1993) AISB Q , vol.86 , pp. 23-34
    • Van Der Gaag, L.1    Wessels, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.