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Stabilization of stochastic iterative methods for singular and nearly singular linear systems
Wang, Mengdi; Bertsekas, Dimitri P. - In: Mathematics of operations research 39 (2014) 1, pp. 1-30
Persistent link: https://www.econbiz.de/10010345230
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Low-discrepancy sampling for approximate dynamic programming with local approximators
Cervellera, Cristiano; Gaggero, Mauro; Macciò, Danilo - In: Computers & operations research : and their … 43 (2014), pp. 108-115
Persistent link: https://www.econbiz.de/10010242069
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Artificial intelligence as structural estimation : Deep Blue, Bonanza, and AlphaGo
Igami, Mitsuru - In: The econometrics journal 23 (2020) 3, pp. S1-S24
Persistent link: https://www.econbiz.de/10012385260
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Non-Parametric Integral Estimation Using Data Clustering in Stochastic Dynamic Programming : An Introduction Using Lifetime Financial Modelling
Khemka, Gaurav - 2017
This paper considers an alternative way of structuring stochastic variables in a dynamic programming framework where …
Persistent link: https://www.econbiz.de/10012968342
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Sequential Monte Carlo for counting vertex covers in general graphs
Vaisman, Radislav; Botev, Zdravki I.; Ridder, Ad - 2013
Persistent link: https://www.econbiz.de/10010191297
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Variance regularization in sequential Bayesian optimization
Kim, Michael Jong - In: Mathematics of operations research 45 (2020) 3, pp. 966-992
Persistent link: https://www.econbiz.de/10012293363
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Confidence intervals for data-driven inventory policies with demand censoring
Ban, Gah-Yi - In: Operations research 68 (2020) 2, pp. 309-326
Persistent link: https://www.econbiz.de/10012213328
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Approximate solutions and cost error bounds for quantity flexibility replenishment
Zhu, Stuart X. - In: International journal of production economics 193 (2017), pp. 306-315
Persistent link: https://www.econbiz.de/10011758446
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Solving unconstrained binary polynomial programs with limited reach : Application to low autocorrelation binary sequences
Clausen, Jens Vinther; Crama, Yves; Lusby, Richard; … - In: Computers & operations research : an international journal 165 (2024), pp. 1-13
Persistent link: https://www.econbiz.de/10014563729
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An approximation approach for response-adaptive clinical trial design
Ahuja, Vishal; Birge, John R. - In: INFORMS journal on computing : JOC 32 (2020) 4, pp. 877-894
Persistent link: https://www.econbiz.de/10012390169