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Books on the topic 'Bayesian Optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 March 2025

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1

Liu, Peng. Bayesian Optimization. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9063-7.

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2

Pelikan, Martin. Hierarchical Bayesian Optimization Algorithm. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b10910.

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3

Archetti, Francesco, and Antonio Candelieri. Bayesian Optimization and Data Science. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24494-1.

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4

Mockus, Jonas. Bayesian Approach to Global Optimization. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-0909-0.

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5

Packwood, Daniel. Bayesian Optimization for Materials Science. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6781-5.

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6

Zhigljavsky, Anatoly, and Antanas Žilinskas. Bayesian and High-Dimensional Global Optimization. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64712-4.

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7

M, Colosimo Bianca, and Del Castillo Enrique, eds. Bayesian process monitoring, control and optimization. Boca Raton: Chapman and Hall/CRC, 2007.

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8

Pourmohamad, Tony, and Herbert K. H. Lee. Bayesian Optimization with Application to Computer Experiments. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82458-7.

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9

Pourmohamad, Tony, and Herbert K. H. Lee. Bayesian Optimization with Application to Computer Experiments. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82458-7.

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10

Mockus, Jonas, William Eddy, Audris Mockus, Linas Mockus, and Gintaras Reklaitis. Bayesian Heuristic Approach to Discrete and Global Optimization. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-2627-5.

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11

Mockus, Jonas. Bayesian Approach to Global Optimization: Theory and Applications. Dordrecht: Springer Netherlands, 1989.

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12

Mockus, Jonas. Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications. Boston, MA: Springer US, 1997.

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13

Jonas, Mockus, ed. Bayesian heuristic approach to discrete and global optimization: Algorithms, visualization, software, and applications. Dordrecht: Kluwer Academic Publishers, 1997.

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14

Fagan, Francois Johannes. Advances in Bayesian inference and stable optimization for large-scale machine learning problems. [New York, N.Y.?]: [publisher not identified], 2019.

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15

Mockus, Jonas. A set of examples of global and discrete optimization: Applications of Bayesian Heuristic Approach. Dordrecht: Kluwer Academic, 2000.

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16

United States. National Aeronautics and Space Administration., ed. "Shape optimization by Bayesian-validated computer-simulation surrogates": Final report, NASA grant NAG 1-1613. [Washington, DC: National Aeronautics and Space Administration, 1997.

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17

Abkar, Ali Akbar. Likelihood-based segmentation and classification of remotely sensed images: A Bayesian optimization approach for combining RS and GIS. Enschede, The Netherlands: International Institute for Aerospace Survey and Earth Sciences, 1999.

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18

Bayesian Optimization. 2023.

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19

Bayesian Optimization. Cambridge University Press, 2022.

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20

Pelikan, Martin. Hierarchical Bayesian Optimization Algorithm. Springer, 2008.

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21

Nguyen, Quan. Bayesian Optimization in Action. Manning Publications Co. LLC, 2023.

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22

Bayesian Optimization in Action. Manning Publications Co. LLC, 2023.

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23

Archetti, Francesco, and Antonio Candelieri. Bayesian Optimization and Data Science. Springer, 2019.

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24

Bayesian Approach to Global Optimization. Island Press, 1989.

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25

Packwood, Daniel. Bayesian Optimization for Materials Science. Springer, 2017.

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26

Packwood, Daniel. Bayesian Optimization for Materials Science. Springer Singapore Pte. Limited, 2017.

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27

Bayesian process monitoring, control, and optimization. Boca Raton, FL: Chapman and Hall/CRC Press, 2006.

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28

Castillo, Enrique del, and Bianca M. Colosimo. Bayesian Process Monitoring Control and Optimization. Taylor & Francis Group, 2019.

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29

Bayesian Process Monitoring, Control and Optimization. London: Taylor and Francis, 2006.

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30

Castillo, Enrique del, and Bianca M. Colosimo. Bayesian Process Monitoring, Control and Optimization. Taylor & Francis Group, 2010.

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31

Castillo, Enrique del, and Bianca M. Colosimo. Bayesian Process Monitoring, Control and Optimization. Taylor & Francis Group, 2006.

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32

(Editor), Enrique Del Castillo, and Bianca M. Colosimo (Editor), eds. Bayesian Process Monitoring, Control and Optimization. Chapman & Hall/CRC, 2006.

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33

Machine Learning: A Bayesian and Optimization Perspective. Academic Press, 2015.

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34

Theodoridis, Sergios. Machine Learning: A Bayesian and Optimization Perspective. Elsevier Science & Technology Books, 2015.

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35

Liu, Peng. Bayesian Optimization: Theory and Practice Using Python. Apress L. P., 2023.

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36

Lee, Herbert, and Tony Pourmohamad. Bayesian Optimization with Application to Computer Experiments. Springer International Publishing AG, 2021.

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37

Albert, Jim. Bayesian Computation with R. Springer, 2009.

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38

Bayesian Computation with R. Springer London, Limited, 2009.

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39

Bayesian approach to global optimization: Theory and applications. Dordrecht: Kluwer Academic, 1989.

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40

Sweet, David. Tuning Up: From a/B Testing to Bayesian Optimization. Manning Publications Co. LLC, 2022.

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41

Experimentation for Engineers: From a/B Testing to Bayesian Optimization. Manning Publications Co. LLC, 2023.

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42

Mockus, J. A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach (Applied Optimization). Springer, 2000.

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43

Pelikan, Martin. Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms. Springer, 2010.

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44

Mockus, Jonas. A Set of Examples of Global and Discrete Optimization. Springer, 2013.

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45

Bayesian Computation with R (Use R). Springer, 2007.

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46

Mockus, J., Gintaras Reklaitis, and William Eddy. Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications (Nonconvex Optimization and Its Applications). Springer, 1996.

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47

Lin, Ruitao, Ying Yuan, and J. Jack Lee. Model-Assisted Bayesian Designs for Dose Finding and Optimization: Methods and Applications. Taylor & Francis Group, 2022.

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48

Lin, Ruitao, Ying Yuan, and J. Jack Lee. Model-Assisted Bayesian Designs for Dose Finding and Optimization: Methods and Applications. Taylor & Francis Group, 2022.

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49

Lin, Ruitao, Ying Yuan, and J. Jack Lee. Model-Assisted Bayesian Designs for Dose Finding and Optimization: Methods and Applications. Taylor & Francis Group, 2022.

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50

Lin, Ruitao, Ying Yuan, and J. Jack Lee. Model-Assisted Bayesian Designs for Dose Finding and Optimization: Methods and Applications. Taylor & Francis Group, 2022.

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