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Volumn 5792 LNCS, Issue , 2009, Pages 61-73

Bounds for multistage stochastic programs using supervised learning strategies

Author keywords

[No Author keywords available]

Indexed keywords

DECISION POLICY; GENERIC METHOD; MACHINE-LEARNING; MINIMAL VALUE; SCENARIO TREE; UPPER BOUND;

EID: 78650662372     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04944-6_6     Document Type: Conference Paper
Times cited : (2)

References (41)
  • 1
    • 0005091318 scopus 로고    scopus 로고
    • Barycentric scenario trees in convex multistage stochastic programming
    • Frauendorfer, K.: Barycentric scenario trees in convex multistage stochastic programming. Mathematical Programming 75, 277-294 (1996)
    • (1996) Mathematical Programming , vol.75 , pp. 277-294
    • Frauendorfer, K.1
  • 2
    • 58449108245 scopus 로고    scopus 로고
    • Sequential importance sampling algorithms for dynamic stochastic programming
    • Dempster, M.: Sequential importance sampling algorithms for dynamic stochastic programming. Annals of Operations Research 84, 153-184 (1998)
    • (1998) Annals of Operations Research , vol.84 , pp. 153-184
    • Dempster, M.1
  • 4
    • 0035261934 scopus 로고    scopus 로고
    • Generating scenario trees for multistage decision problems
    • Høyland, K., Wallace, S.: Generating scenario trees for multistage decision problems. Management Science 47(2), 295-307 (2001)
    • (2001) Management Science , vol.47 , Issue.2 , pp. 295-307
    • Høyland, K.1    Wallace, S.2
  • 6
    • 31144445025 scopus 로고    scopus 로고
    • The scenario generation algorithm for multistage stochastic linear programming
    • Casey, M., Sen, S.: The scenario generation algorithm for multistage stochastic linear programming. Mathematics of Operations Research 30, 615-631 (2005)
    • (2005) Mathematics of Operations Research , vol.30 , pp. 615-631
    • Casey, M.1    Sen, S.2
  • 7
    • 33847404432 scopus 로고    scopus 로고
    • Financial scenario generation for stochastic multistage decision processes as facility location problems
    • Hochreiter, R., Pflug, G.: Financial scenario generation for stochastic multistage decision processes as facility location problems. Annals of Operations Research 152, 257-272 (2007)
    • (2007) Annals of Operations Research , vol.152 , pp. 257-272
    • Hochreiter, R.1    Pflug, G.2
  • 8
    • 45749127048 scopus 로고    scopus 로고
    • Epi-convergent discretizations of multistage stochastic programs via integration quadratures
    • Pennanen, T.: Epi-convergent discretizations of multistage stochastic programs via integration quadratures. Mathematical Programming 116, 461-479 (2009)
    • (2009) Mathematical Programming , vol.116 , pp. 461-479
    • Pennanen, T.1
  • 9
    • 58249116102 scopus 로고    scopus 로고
    • Scenario tree modeling for multistage stochastic programs
    • Heitsch, H., Römisch, W.: Scenario tree modeling for multistage stochastic programs. Mathematical Programming 118(2), 371-406 (2009)
    • (2009) Mathematical Programming , vol.118 , Issue.2 , pp. 371-406
    • Heitsch, H.1    Römisch, W.2
  • 10
    • 28044447588 scopus 로고    scopus 로고
    • On complexity of multistage stochastic programs
    • Shapiro, A.: On complexity of multistage stochastic programs. Operations Research Letters 34(1), 1-8 (2006)
    • (2006) Operations Research Letters , vol.34 , Issue.1 , pp. 1-8
    • Shapiro, A.1
  • 11
    • 21044447935 scopus 로고    scopus 로고
    • Inference of statistical bounds for multistage stochastic programming problems
    • Shapiro, A.: Inference of statistical bounds for multistage stochastic programming problems. Mathematical Methods of Operations Research 58(1), 57-68 (2003)
    • (2003) Mathematical Methods of Operations Research , vol.58 , Issue.1 , pp. 57-68
    • Shapiro, A.1
  • 13
    • 0035900037 scopus 로고    scopus 로고
    • Scenario generation and stochastic programming models for asset liability management
    • Kouwenberg, R.: Scenario generation and stochastic programming models for asset liability management. European Journal of Operational Research 134, 279-292 (2001)
    • (2001) European Journal of Operational Research , vol.134 , pp. 279-292
    • Kouwenberg, R.1
  • 14
    • 47549102808 scopus 로고    scopus 로고
    • Numerical study of discretizations of multistage stochastic programs
    • Hilli, P., Pennanen, T.: Numerical study of discretizations of multistage stochastic programs. Kybernetika 44, 185-204 (2008)
    • (2008) Kybernetika , vol.44 , pp. 185-204
    • Hilli, P.1    Pennanen, T.2
  • 18
    • 32044449925 scopus 로고
    • Generalized cross-validation as a method for choosing a good ridge parameter
    • Wahba, G., Golub, G., Heath, M.: Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics 21, 215-223 (1979)
    • (1979) Technometrics , vol.21 , pp. 215-223
    • Wahba, G.1    Golub, G.2    Heath, M.3
  • 20
    • 44349186707 scopus 로고    scopus 로고
    • Step decision rules for multistage stochastic programming: A heuristic approach
    • Thénié, J., Vial, J.P.: Step decision rules for multistage stochastic programming: A heuristic approach. Automatica 44, 1569-1584 (2008)
    • (2008) Automatica , vol.44 , pp. 1569-1584
    • Thénié, J.1    Vial, J.P.2
  • 24
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwartz, G.: Estimating the dimension of a model. Annals of Statistics 6, 461-464 (1978)
    • (1978) Annals of Statistics , vol.6 , pp. 461-464
    • Schwartz, G.1
  • 25
    • 0000318553 scopus 로고
    • Stochastic complexity and modeling
    • Rissanen, J.: Stochastic complexity and modeling. Annals of Statistics 14, 1080-1100 (1986)
    • (1986) Annals of Statistics , vol.14 , pp. 1080-1100
    • Rissanen, J.1
  • 27
    • 0036643075 scopus 로고    scopus 로고
    • Model selection for small sample regression
    • Chapelle, O., Vapnik, V., Bengio, Y.: Model selection for small sample regression. Machine Learning 48, 315-333 (2002)
    • (2002) Machine Learning , vol.48 , pp. 315-333
    • Chapelle, O.1    Vapnik, V.2    Bengio, Y.3
  • 28
    • 0000263797 scopus 로고
    • Projection pursuit
    • Huber, P.: Projection pursuit. Annals of Statistics 13, 435-475 (1985)
    • (1985) Annals of Statistics , vol.13 , pp. 435-475
    • Huber, P.1
  • 30
    • 0002432565 scopus 로고
    • Multivariate adaptive regression splines (with discussion)
    • Friedman, J.: Multivariate adaptive regression splines (with discussion). Annals of Statistics 19, 1-141 (1991)
    • (1991) Annals of Statistics , vol.19 , pp. 1-141
    • Friedman, J.1
  • 31
    • 0001219859 scopus 로고
    • Regularization theory and neural networks architectures
    • Girosi, F., Jones, M., Poggio, T.: Regularization theory and neural networks architectures. Neural Computation 7, 219-269 (1995)
    • (1995) Neural Computation , vol.7 , pp. 219-269
    • Girosi, F.1    Jones, M.2    Poggio, T.3
  • 33
    • 0032098361 scopus 로고    scopus 로고
    • The connection between regularization operators and support vector kernels
    • DOI 10.1016/S0893-6080(98)00032-X, PII S089360809800032X
    • Smola, A., Schölkopf, B., Müller, K.R.: The connection between regularization operators and support vector kernels. Neural Networks 11, 637-649 (1998) (Pubitemid 28400264)
    • (1998) Neural Networks , vol.11 , Issue.4 , pp. 637-649
    • Smola, A.J.1    Scholkopf, B.2    Muller, K.-R.3
  • 41
    • 33744466799 scopus 로고    scopus 로고
    • Approximate policy iteration with a policy language bias: Solving relational Markov Decision Processes
    • Fern, A., Yoon, S., Givan, R.: Approximate policy iteration with a policy language bias: solving relational Markov Decision Processes. Journal of Artificial Intelligence Research 25, 85-118 (2006)
    • (2006) Journal of Artificial Intelligence Research , vol.25 , pp. 85-118
    • Fern, A.1    Yoon, S.2    Givan, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.