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Volumn , Issue , 2005, Pages 171-180

Online stochastic optimization without distributions

Author keywords

[No Author keywords available]

Indexed keywords

INPUT DISTRIBUTIONS; MACHINE LEARNING TECHNIQUES; ONLINE OPTIMIZATION; ONLINE SCHEDULING; ONLINE STOCHASTIC SCHEDULING; PACKET SCHEDULING; STOCHASTIC ALGORITHMS; STOCHASTIC OPTIMIZATIONS;

EID: 77956784755     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (11)
  • 1
    • 0001862769 scopus 로고
    • An inequality and associated maximization technique in statistical estimation for probabilistic functions of a markov process
    • Baum, E. 1972. An Inequality and Associated Maximization Technique in Statistical Estimation for Probabilistic Functions of a Markov Process. Inequalities 3:1-8.
    • (1972) Inequalities , vol.3 , pp. 1-8
    • Baum, E.1
  • 4
    • 12344279362 scopus 로고    scopus 로고
    • Scenario- Based planning for partially dynamic vehicle routing with stochastic customers
    • Bent, R. and Van Hentenryck, P. 2004c. Scenario- Based Planning for Partially Dynamic Vehicle Routing with Stochastic Customers. Operations Research 52(6), 977-987.
    • (2004) Operations Research , vol.52 , Issue.6 , pp. 977-987
    • Bent, R.1    Van Hentenryck, P.2
  • 11
    • 0032073263 scopus 로고    scopus 로고
    • Planning and acting in partially observable stochastic domains
    • Kaelbling, L.; Littman, M. and Cassandra, A. 1998.. Planning and Acting in Partially Observable Stochastic Domains Artificial Intelligence 101 (l-2):99-124.
    • (1998) Artificial Intelligence , vol.101 , Issue.1-2 , pp. 99-124
    • Kaelbling, L.1    Littman, M.2    Cassandra, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.