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Volumn 3, Issue , 2014, Pages 1816-1823

Large-scale optimistic adaptive submodularity

Author keywords

[No Author keywords available]

Indexed keywords

SUBMODULARITY;

EID: 84908179664     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (26)
  • 2
    • 0041966002 scopus 로고    scopus 로고
    • Using confidence bounds for exploitationexploration trade-offs
    • Auer, P. 2002. Using confidence bounds for exploitationexploration trade-offs. Journal of Machine Learning Research 3:397-22.
    • (2002) Journal of Machine Learning Research , vol.3 , pp. 397-322
    • Auer, P.1
  • 7
    • 84898451125 scopus 로고    scopus 로고
    • Ph. D. Dissertation, École nationale supérieure des télécommunications - ENST
    • Filippi, S. 2010. Optimistic Strategies in Reinforcement Learning. Ph. D. Dissertation, École nationale supérieure des télécommunications - ENST.
    • (2010) Optimistic Strategies in Reinforcement Learning
    • Filippi, S.1
  • 9
    • 84856462978 scopus 로고    scopus 로고
    • Adaptive submodularity: Theory and applications in active learning and stochastic optimization
    • Golovin, D., and Krause, A. 2011. Adaptive submodularity: Theory and applications in active learning and stochastic optimization. Journal of Artificial Intelligence Research 42:427-486.
    • (2011) Journal of Artificial Intelligence Research , vol.42 , pp. 427-486
    • Golovin, D.1    Krause, A.2
  • 12
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Koren, Y.; Bell, R.; and Volinsky, C. 2009. Matrix factorization techniques for recommender systems. IEEE Computer 42(8):30-37.
    • (2009) IEEE Computer , vol.42 , Issue.8 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 13
    • 41549146576 scopus 로고    scopus 로고
    • Nearoptimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical studies
    • Krause, A.; Singh, A. P.; and Guestrin, C. 2008. Nearoptimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical studies. Journal of Machine Learning Research 9:235-284.
    • (2008) Journal of Machine Learning Research , vol.9 , pp. 235-284
    • Krause, A.1    Singh, A.P.2    Guestrin, C.3
  • 17
    • 0000095809 scopus 로고
    • An analysis of approximations for maximizing submodular set functions - I
    • Nemhauser, G. L.; Wolsey, L. A.; and Fisher, M. L. 1978. An analysis of approximations for maximizing submodular set functions - I. Mathematical Programming 14(1):265-294.
    • (1978) Mathematical Programming , vol.14 , Issue.1 , pp. 265-294
    • Nemhauser, G.L.1    Wolsey, L.A.2    Fisher, M.L.3
  • 26
    • 85162539653 scopus 로고    scopus 로고
    • Linear submodular bandits and their application to diversified retrieval
    • Yue, Y., and Guestrin, C. 2011. Linear submodular bandits and their application to diversified retrieval. In Advances in Neural Information Processing Systems 24, 2483-2491.
    • (2011) Advances in Neural Information Processing Systems , vol.24 , pp. 2483-2491
    • Yue, Y.1    Guestrin, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.