Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers

IEEE Journal on Selected Areas in Communications ◽

10.1109/jsac.2021.3118406 ◽

2021 ◽

pp. 1-1

Author(s):

Dongzhu Liu ◽

Osvaldo Simeone

Keyword(s):

Monte Carlo ◽

Data Centers ◽

Distributed Learning ◽

Monte Carlo Sampling ◽

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Solving Stochastic Shortest Path Problem Using Monte Carlo Sampling Method: A Distributed Learning Automata Approach

Neural Networks and Soft Computing ◽

10.1007/978-3-7908-1902-1_96 ◽

2003 ◽

pp. 626-631 ◽

Author(s):

M. R. Meybodi ◽

Hamid Beigy

Keyword(s):

Monte Carlo ◽

Shortest Path ◽

Sampling Method ◽

Learning Automata ◽

Distributed Learning ◽

Monte Carlo Sampling ◽

Shortest Path Problem ◽

Stochastic Shortest Path ◽

Distributed Learning Automata ◽

Stochastic Shortest Path Problem

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Bayesian inference, Monte Carlo sampling and operational risk

The Journal of Operational Risk ◽

10.21314/jop.2006.014 ◽

2006 ◽

Vol 1 (3) ◽

pp. 27-50 ◽

Author(s):

G Peters ◽

S Sisson

Keyword(s):

Monte Carlo ◽

Bayesian Inference ◽

Operational Risk ◽

Monte Carlo Sampling

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A Monte Carlo Sampling Method of Amino Acid Sequences Adaptable to Given Main-Chain Atoms in the Proteins

The Journal of Biochemistry ◽

10.1093/jb/mvj184 ◽

2006 ◽

Vol 140 (4) ◽

pp. 543-552

Author(s):

Koji Ogata ◽

Kenji Soejima ◽

Junichi Higo

Keyword(s):

Monte Carlo ◽

Sampling Method ◽

Monte Carlo Sampling ◽

Amino Acid Sequences

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Implementing EDMG Links using IEEE 802.11ad in Wireless Data Centers

2019 International Conference on Advanced Electrical Engineering (ICAEE) ◽

10.1109/icaee47123.2019.9015182 ◽

2019 ◽

Author(s):

M.Z. Zaaimia ◽

R. Touhami ◽

M.C.E. Yagoub

Keyword(s):

Data Centers ◽

Wireless Data ◽

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Probabilistic Optimal Power Flow With Correlated Wind Power Uncertainty via Markov Chain Quasi-Monte-Carlo Sampling

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2019.2928054 ◽

2019 ◽

Vol 15 (11) ◽

pp. 6058-6069 ◽

Author(s):

Weigao Sun ◽

Mohsen Zamani ◽

Hai-Tao Zhang ◽

Yuanzheng Li

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Optimal Power Flow ◽

Monte Carlo Sampling ◽

Quasi Monte Carlo ◽

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Monte Carlo sampling of solutions to inverse problems

International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts ◽

10.1016/0148-9062(96)80050-7 ◽

1996 ◽

Vol 33 (5) ◽

pp. A219

Keyword(s):

Monte Carlo ◽

Inverse Problems ◽

Monte Carlo Sampling

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Locating stationary paths in functional integrals: An optimization method utilizing the stationary phase Monte Carlo sampling function

The Journal of Chemical Physics ◽

10.1063/1.455868 ◽

1989 ◽

Vol 90 (6) ◽

pp. 3181-3191 ◽

Author(s):

Thomas L. Beck ◽

J. D. Doll ◽

David L. Freeman

Keyword(s):

Monte Carlo ◽

Stationary Phase ◽

Optimization Method ◽

Monte Carlo Sampling ◽

Functional Integrals ◽

Sampling Function

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A phase‐space theory and Monte Carlo sampling method for studying nonadiabatic unimolecular reactions

The Journal of Chemical Physics ◽

10.1063/1.462092 ◽

1992 ◽

Vol 96 (3) ◽

pp. 1911-1918 ◽

Author(s):

Alison J. Marks ◽

Donald L. Thompson

Keyword(s):

Monte Carlo ◽

Phase Space ◽

Sampling Method ◽

Monte Carlo Sampling ◽

Space Theory ◽

Unimolecular Reactions ◽

Phase Space Theory

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Monte Carlo Sampling with Hierarchical Move Sets: POSH Monte Carlo

Journal of Chemical Theory and Computation ◽

10.1021/ct8005166 ◽

2009 ◽

Vol 5 (8) ◽

pp. 1968-1984 ◽

Author(s):

Jerome Nilmeier ◽

Matthew P. Jacobson

Keyword(s):

Monte Carlo ◽

Monte Carlo Sampling

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Bayesian Estimation via Sequential Monte Carlo Sampling: Unconstrained Nonlinear Dynamic Systems

Industrial & Engineering Chemistry Research ◽

10.1021/ie034010v ◽

2004 ◽

Vol 43 (14) ◽

pp. 4012-4025 ◽

Author(s):

Wen-shiang Chen ◽

Bhavik R. Bakshi ◽

Prem K. Goel ◽

Sridhar Ungarala

Keyword(s):

Monte Carlo ◽

Bayesian Estimation ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Sequential Monte Carlo ◽

Monte Carlo Sampling ◽

Nonlinear Dynamic Systems

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