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University of Waikato

1.
Ma, Jinjin.
Parameter Tuning Using *Gaussian* Processes
.

Degree: 2012, University of Waikato

URL: http://hdl.handle.net/10289/6497

► Most machine learning algorithms require us to set up their parameter values before applying these algorithms to solve problems. Appropriate parameter settings will bring good…
(more)

Subjects/Keywords: Parameter Tunning; Gaussian Process Optimization; Machine Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ma, J. (2012). Parameter Tuning Using Gaussian Processes . (Masters Thesis). University of Waikato. Retrieved from http://hdl.handle.net/10289/6497

Chicago Manual of Style (16^{th} Edition):

Ma, Jinjin. “Parameter Tuning Using Gaussian Processes .” 2012. Masters Thesis, University of Waikato. Accessed December 07, 2019. http://hdl.handle.net/10289/6497.

MLA Handbook (7^{th} Edition):

Ma, Jinjin. “Parameter Tuning Using Gaussian Processes .” 2012. Web. 07 Dec 2019.

Vancouver:

Ma J. Parameter Tuning Using Gaussian Processes . [Internet] [Masters thesis]. University of Waikato; 2012. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10289/6497.

Council of Science Editors:

Ma J. Parameter Tuning Using Gaussian Processes . [Masters Thesis]. University of Waikato; 2012. Available from: http://hdl.handle.net/10289/6497

Penn State University

2.
Alshraideh, Hussam.
Analysis and *Optimization* of Profile and Shape Response
Experiments.

Degree: PhD, Industrial Engineering, 2011, Penn State University

URL: https://etda.libraries.psu.edu/catalog/12126

► An engineering *process* that exhibits a response in the form of a univariate (or one-dimensional) curve whenever new experimental conditions are tried is said to…
(more)

Subjects/Keywords: Profile; Shape; Gaussian Process; Geometry; shape optimization; Statistical shape analysis; process optimization.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Alshraideh, H. (2011). Analysis and Optimization of Profile and Shape Response Experiments. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/12126

Chicago Manual of Style (16^{th} Edition):

Alshraideh, Hussam. “Analysis and Optimization of Profile and Shape Response Experiments.” 2011. Doctoral Dissertation, Penn State University. Accessed December 07, 2019. https://etda.libraries.psu.edu/catalog/12126.

MLA Handbook (7^{th} Edition):

Alshraideh, Hussam. “Analysis and Optimization of Profile and Shape Response Experiments.” 2011. Web. 07 Dec 2019.

Vancouver:

Alshraideh H. Analysis and Optimization of Profile and Shape Response Experiments. [Internet] [Doctoral dissertation]. Penn State University; 2011. [cited 2019 Dec 07]. Available from: https://etda.libraries.psu.edu/catalog/12126.

Council of Science Editors:

Alshraideh H. Analysis and Optimization of Profile and Shape Response Experiments. [Doctoral Dissertation]. Penn State University; 2011. Available from: https://etda.libraries.psu.edu/catalog/12126

University of Alberta

3.
Ranjan, Rishik.
Robust *Gaussian* *Process* Regression and its Application in
Data-driven Modeling and * Optimization*.

Degree: MS, Department of Chemical and Materials Engineering, 2015, University of Alberta

URL: https://era.library.ualberta.ca/files/b2773z58w

► Availability of large amounts of industrial *process* data is allowing researchers to explore new data-based modelling methods. In this thesis, *Gaussian* *process* (GP) regression, a…
(more)

Subjects/Keywords: SAGD; Optimization; Outliers; Robust identification; Gaussian process regression; EM algorithm

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ranjan, R. (2015). Robust Gaussian Process Regression and its Application in Data-driven Modeling and Optimization. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/b2773z58w

Chicago Manual of Style (16^{th} Edition):

Ranjan, Rishik. “Robust Gaussian Process Regression and its Application in Data-driven Modeling and Optimization.” 2015. Masters Thesis, University of Alberta. Accessed December 07, 2019. https://era.library.ualberta.ca/files/b2773z58w.

MLA Handbook (7^{th} Edition):

Ranjan, Rishik. “Robust Gaussian Process Regression and its Application in Data-driven Modeling and Optimization.” 2015. Web. 07 Dec 2019.

Vancouver:

Ranjan R. Robust Gaussian Process Regression and its Application in Data-driven Modeling and Optimization. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 Dec 07]. Available from: https://era.library.ualberta.ca/files/b2773z58w.

Council of Science Editors:

Ranjan R. Robust Gaussian Process Regression and its Application in Data-driven Modeling and Optimization. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/b2773z58w

Virginia Tech

4.
Zielinski, Jacob Jonathan.
Adapting Response Surface Methods for the *Optimization* of Black-Box Systems.

Degree: PhD, Statistics, 2010, Virginia Tech

URL: http://hdl.handle.net/10919/39295

► Complex mathematical models are often built to describe a physical *process* that would otherwise be extremely difficult, too costly or sometimes impossible to analyze. Generally,…
(more)

Subjects/Keywords: Optimization; Gaussian Stochastic Process; Computer Experiments; Bayesian; Response Surface; DACE; Kriging

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Zielinski, J. J. (2010). Adapting Response Surface Methods for the Optimization of Black-Box Systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/39295

Chicago Manual of Style (16^{th} Edition):

Zielinski, Jacob Jonathan. “Adapting Response Surface Methods for the Optimization of Black-Box Systems.” 2010. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/39295.

MLA Handbook (7^{th} Edition):

Zielinski, Jacob Jonathan. “Adapting Response Surface Methods for the Optimization of Black-Box Systems.” 2010. Web. 07 Dec 2019.

Vancouver:

Zielinski JJ. Adapting Response Surface Methods for the Optimization of Black-Box Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/39295.

Council of Science Editors:

Zielinski JJ. Adapting Response Surface Methods for the Optimization of Black-Box Systems. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/39295

5.
Contal, Emile.
Méthodes d’apprentissage statistique pour l’optimisation globale : Statistical learning approaches for global * optimization*.

Degree: Docteur es, Mathématiques appliquées, 2016, Paris Saclay

URL: http://www.theses.fr/2016SACLN038

►

Cette thèse se consacre à une analyse rigoureuse des algorithmes d'optimisation globale équentielle. On se place dans un modèle de bandits stochastiques où un agent… (more)

Subjects/Keywords: Apprentissage statistique; Optimisation; Processus gaussien; Statistical learning; Optimization; Gaussian process

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Contal, E. (2016). Méthodes d’apprentissage statistique pour l’optimisation globale : Statistical learning approaches for global optimization. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2016SACLN038

Chicago Manual of Style (16^{th} Edition):

Contal, Emile. “Méthodes d’apprentissage statistique pour l’optimisation globale : Statistical learning approaches for global optimization.” 2016. Doctoral Dissertation, Paris Saclay. Accessed December 07, 2019. http://www.theses.fr/2016SACLN038.

MLA Handbook (7^{th} Edition):

Contal, Emile. “Méthodes d’apprentissage statistique pour l’optimisation globale : Statistical learning approaches for global optimization.” 2016. Web. 07 Dec 2019.

Vancouver:

Contal E. Méthodes d’apprentissage statistique pour l’optimisation globale : Statistical learning approaches for global optimization. [Internet] [Doctoral dissertation]. Paris Saclay; 2016. [cited 2019 Dec 07]. Available from: http://www.theses.fr/2016SACLN038.

Council of Science Editors:

Contal E. Méthodes d’apprentissage statistique pour l’optimisation globale : Statistical learning approaches for global optimization. [Doctoral Dissertation]. Paris Saclay; 2016. Available from: http://www.theses.fr/2016SACLN038

The Ohio State University

6. Bautista, Dianne Carrol Tan. A Sequential Design for Approximating the Pareto Front using the Expected Pareto Improvement Function.

Degree: PhD, Statistics, 2009, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1237600537

► We propose a methodology for the simultaneous *optimization* of multiple goal functions evaluated by a numerically intensive computer model. In a black box multiobjective problem,…
(more)

Subjects/Keywords: Statistics; Multiobjective optimization; simulation-based optimization; Pareto optimality; multivariate emulation; Gaussian process; expected improvement

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Bautista, D. C. T. (2009). A Sequential Design for Approximating the Pareto Front using the Expected Pareto Improvement Function. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1237600537

Chicago Manual of Style (16^{th} Edition):

Bautista, Dianne Carrol Tan. “A Sequential Design for Approximating the Pareto Front using the Expected Pareto Improvement Function.” 2009. Doctoral Dissertation, The Ohio State University. Accessed December 07, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1237600537.

MLA Handbook (7^{th} Edition):

Bautista, Dianne Carrol Tan. “A Sequential Design for Approximating the Pareto Front using the Expected Pareto Improvement Function.” 2009. Web. 07 Dec 2019.

Vancouver:

Bautista DCT. A Sequential Design for Approximating the Pareto Front using the Expected Pareto Improvement Function. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2019 Dec 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1237600537.

Council of Science Editors:

Bautista DCT. A Sequential Design for Approximating the Pareto Front using the Expected Pareto Improvement Function. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1237600537

Duke University

7.
Jarrett, Nicholas Walton Daniel.
Nonlinear Prediction in Credit Forecasting and Cloud Computing Deployment * Optimization*
.

Degree: 2015, Duke University

URL: http://hdl.handle.net/10161/9974

► This thesis presents data analysis and methodology for two prediction problems. The first problem is forecasting midlife credit ratings from personality information collected during…
(more)

Subjects/Keywords: Statistics; Computer science; Psychology; Cloud computing; Deployment optimization; Gaussian process; Matrix multiplication; Nonlinear prediction; Optimization

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Jarrett, N. W. D. (2015). Nonlinear Prediction in Credit Forecasting and Cloud Computing Deployment Optimization . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/9974

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Jarrett, Nicholas Walton Daniel. “Nonlinear Prediction in Credit Forecasting and Cloud Computing Deployment Optimization .” 2015. Thesis, Duke University. Accessed December 07, 2019. http://hdl.handle.net/10161/9974.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Jarrett, Nicholas Walton Daniel. “Nonlinear Prediction in Credit Forecasting and Cloud Computing Deployment Optimization .” 2015. Web. 07 Dec 2019.

Vancouver:

Jarrett NWD. Nonlinear Prediction in Credit Forecasting and Cloud Computing Deployment Optimization . [Internet] [Thesis]. Duke University; 2015. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10161/9974.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jarrett NWD. Nonlinear Prediction in Credit Forecasting and Cloud Computing Deployment Optimization . [Thesis]. Duke University; 2015. Available from: http://hdl.handle.net/10161/9974

Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

8.
Eriksson, David.
Scalable kernel methods and their use in black-box * optimization*
.

Degree: 2018, Cornell University

URL: http://hdl.handle.net/1813/64846

► This dissertation uses structured linear algebra to scale kernel regression methods based on *Gaussian* processes (GPs) and radial basis function (RBF) interpolation to large, high-dimensional…
(more)

Subjects/Keywords: Gaussian Process; Applied mathematics; Global Optimization; Radial Basis Function; Scalable Machine Learning; Surrogate Optimization; Mathematics; Computer science; Bayesian optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Eriksson, D. (2018). Scalable kernel methods and their use in black-box optimization . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/64846

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Eriksson, David. “Scalable kernel methods and their use in black-box optimization .” 2018. Thesis, Cornell University. Accessed December 07, 2019. http://hdl.handle.net/1813/64846.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Eriksson, David. “Scalable kernel methods and their use in black-box optimization .” 2018. Web. 07 Dec 2019.

Vancouver:

Eriksson D. Scalable kernel methods and their use in black-box optimization . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/1813/64846.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Eriksson D. Scalable kernel methods and their use in black-box optimization . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/64846

Not specified: Masters Thesis or Doctoral Dissertation

University of New Mexico

9.
Olson, Sterling.
*Gaussian**Process* Regression applied to Marine Energy Turbulent Source Tuning via Metamodel Machine Learning * Optimization*.

Degree: Mechanical Engineering, 2019, University of New Mexico

URL: https://digitalrepository.unm.edu/me_etds/165

► Converting energy from the currents found within tidal channels, open ocean, rivers, and canals is a promising yet untapped source of renewable energy. In…
(more)

Subjects/Keywords: metamodel; current energy converters; actuator disc; Gaussian process regression; optimization; Mechanical Engineering

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Olson, S. (2019). Gaussian Process Regression applied to Marine Energy Turbulent Source Tuning via Metamodel Machine Learning Optimization. (Masters Thesis). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/me_etds/165

Chicago Manual of Style (16^{th} Edition):

Olson, Sterling. “Gaussian Process Regression applied to Marine Energy Turbulent Source Tuning via Metamodel Machine Learning Optimization.” 2019. Masters Thesis, University of New Mexico. Accessed December 07, 2019. https://digitalrepository.unm.edu/me_etds/165.

MLA Handbook (7^{th} Edition):

Olson, Sterling. “Gaussian Process Regression applied to Marine Energy Turbulent Source Tuning via Metamodel Machine Learning Optimization.” 2019. Web. 07 Dec 2019.

Vancouver:

Olson S. Gaussian Process Regression applied to Marine Energy Turbulent Source Tuning via Metamodel Machine Learning Optimization. [Internet] [Masters thesis]. University of New Mexico; 2019. [cited 2019 Dec 07]. Available from: https://digitalrepository.unm.edu/me_etds/165.

Council of Science Editors:

Olson S. Gaussian Process Regression applied to Marine Energy Turbulent Source Tuning via Metamodel Machine Learning Optimization. [Masters Thesis]. University of New Mexico; 2019. Available from: https://digitalrepository.unm.edu/me_etds/165

Linköping University

10.
Herwin, Eric.
Optimizing *process* parameters to increase the quality of the output in a separator : An application of Deep Kernel Learning in combination with the Basin-hopping optimizer.

Degree: The Division of Statistics and Machine Learning, 2019, Linköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158182

► Achieving optimal efficiency of production in the industrial sector is a *process* that is continuously under development. In several industrial installations separators, produced by…
(more)

Subjects/Keywords: Industrial process; Optimization; Gaussian Process; Deep Kernel Learning; Basin-hopping; Probability Theory and Statistics; Sannolikhetsteori och statistik

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Herwin, E. (2019). Optimizing process parameters to increase the quality of the output in a separator : An application of Deep Kernel Learning in combination with the Basin-hopping optimizer. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158182

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Herwin, Eric. “Optimizing process parameters to increase the quality of the output in a separator : An application of Deep Kernel Learning in combination with the Basin-hopping optimizer.” 2019. Thesis, Linköping University. Accessed December 07, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158182.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Herwin, Eric. “Optimizing process parameters to increase the quality of the output in a separator : An application of Deep Kernel Learning in combination with the Basin-hopping optimizer.” 2019. Web. 07 Dec 2019.

Vancouver:

Herwin E. Optimizing process parameters to increase the quality of the output in a separator : An application of Deep Kernel Learning in combination with the Basin-hopping optimizer. [Internet] [Thesis]. Linköping University; 2019. [cited 2019 Dec 07]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158182.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Herwin E. Optimizing process parameters to increase the quality of the output in a separator : An application of Deep Kernel Learning in combination with the Basin-hopping optimizer. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158182

Not specified: Masters Thesis or Doctoral Dissertation

11.
Benassi, Romain.
Nouvel algorithme d'optimisation bayésien utilisant une approche Monte-Carlo séquentielle. : New Bayesian *optimization* algorithm using a sequential Monte-Carlo approach.

Degree: Docteur es, Traitement du Signal (STIC), 2013, Supélec

URL: http://www.theses.fr/2013SUPL0011

►

Ce travail de thèse s'intéresse au problème de l'optimisation globale d'une fonction coûteuse dans un cadre bayésien. Nous disons qu'une fonction est coûteuse lorsque son… (more)

Subjects/Keywords: Optimisation; Processus gaussien; Krigeage; Critère EI; Méthodes SMC; Optimization; Gaussian process; Kriging,; Expected Improvement criterion; SMC methods; 378.242

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Benassi, R. (2013). Nouvel algorithme d'optimisation bayésien utilisant une approche Monte-Carlo séquentielle. : New Bayesian optimization algorithm using a sequential Monte-Carlo approach. (Doctoral Dissertation). Supélec. Retrieved from http://www.theses.fr/2013SUPL0011

Chicago Manual of Style (16^{th} Edition):

Benassi, Romain. “Nouvel algorithme d'optimisation bayésien utilisant une approche Monte-Carlo séquentielle. : New Bayesian optimization algorithm using a sequential Monte-Carlo approach.” 2013. Doctoral Dissertation, Supélec. Accessed December 07, 2019. http://www.theses.fr/2013SUPL0011.

MLA Handbook (7^{th} Edition):

Benassi, Romain. “Nouvel algorithme d'optimisation bayésien utilisant une approche Monte-Carlo séquentielle. : New Bayesian optimization algorithm using a sequential Monte-Carlo approach.” 2013. Web. 07 Dec 2019.

Vancouver:

Benassi R. Nouvel algorithme d'optimisation bayésien utilisant une approche Monte-Carlo séquentielle. : New Bayesian optimization algorithm using a sequential Monte-Carlo approach. [Internet] [Doctoral dissertation]. Supélec; 2013. [cited 2019 Dec 07]. Available from: http://www.theses.fr/2013SUPL0011.

Council of Science Editors:

Benassi R. Nouvel algorithme d'optimisation bayésien utilisant une approche Monte-Carlo séquentielle. : New Bayesian optimization algorithm using a sequential Monte-Carlo approach. [Doctoral Dissertation]. Supélec; 2013. Available from: http://www.theses.fr/2013SUPL0011

12. OUYANG RUOFEI. EXPLOITING DECENTRALIZED MULTI-AGENT COORDINATION FOR LARGE-SCALE MACHINE LEARNING PROBLEMS.

Degree: 2016, National University of Singapore

URL: http://scholarbank.nus.edu.sg/handle/10635/132189

Subjects/Keywords: Multi-Agent System; Machine Learning; Gaussian process; Bayesian Optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

RUOFEI, O. (2016). EXPLOITING DECENTRALIZED MULTI-AGENT COORDINATION FOR LARGE-SCALE MACHINE LEARNING PROBLEMS. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/132189

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

RUOFEI, OUYANG. “EXPLOITING DECENTRALIZED MULTI-AGENT COORDINATION FOR LARGE-SCALE MACHINE LEARNING PROBLEMS.” 2016. Thesis, National University of Singapore. Accessed December 07, 2019. http://scholarbank.nus.edu.sg/handle/10635/132189.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

RUOFEI, OUYANG. “EXPLOITING DECENTRALIZED MULTI-AGENT COORDINATION FOR LARGE-SCALE MACHINE LEARNING PROBLEMS.” 2016. Web. 07 Dec 2019.

Vancouver:

RUOFEI O. EXPLOITING DECENTRALIZED MULTI-AGENT COORDINATION FOR LARGE-SCALE MACHINE LEARNING PROBLEMS. [Internet] [Thesis]. National University of Singapore; 2016. [cited 2019 Dec 07]. Available from: http://scholarbank.nus.edu.sg/handle/10635/132189.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

RUOFEI O. EXPLOITING DECENTRALIZED MULTI-AGENT COORDINATION FOR LARGE-SCALE MACHINE LEARNING PROBLEMS. [Thesis]. National University of Singapore; 2016. Available from: http://scholarbank.nus.edu.sg/handle/10635/132189

Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

13.
Park, Jangho.
Efficient Global *Optimization* of Multidisciplinary System using Variable Fidelity Analysis and Dynamic Sampling Method.

Degree: PhD, Aerospace Engineering, 2019, Virginia Tech

URL: http://hdl.handle.net/10919/91911

► In recent years, as the cost of aircraft design is growing rapidly, and aviation industry is interested in saving time and cost for the design,…
(more)

Subjects/Keywords: Efficient Global Optimization(EGO); Variable-Fidelity(VF) Analysis; Data mining; Gaussian Process Regression(GPR) modeling; Design of Experiment(DoE)

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Park, J. (2019). Efficient Global Optimization of Multidisciplinary System using Variable Fidelity Analysis and Dynamic Sampling Method. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/91911

Chicago Manual of Style (16^{th} Edition):

Park, Jangho. “Efficient Global Optimization of Multidisciplinary System using Variable Fidelity Analysis and Dynamic Sampling Method.” 2019. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/91911.

MLA Handbook (7^{th} Edition):

Park, Jangho. “Efficient Global Optimization of Multidisciplinary System using Variable Fidelity Analysis and Dynamic Sampling Method.” 2019. Web. 07 Dec 2019.

Vancouver:

Park J. Efficient Global Optimization of Multidisciplinary System using Variable Fidelity Analysis and Dynamic Sampling Method. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/91911.

Council of Science Editors:

Park J. Efficient Global Optimization of Multidisciplinary System using Variable Fidelity Analysis and Dynamic Sampling Method. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/91911

University of Waterloo

14. Ali Yusuf, Yusuf. Green Petroleum Refining - Mathematical Models for Optimizing Petroleum Refining Under Emission Constraints.

Degree: 2013, University of Waterloo

URL: http://hdl.handle.net/10012/7860

► Petroleum refining processes provide the daily requirements of energy for the global market. Each refining *process* produces wastes that have the capacity to harm the…
(more)

Subjects/Keywords: Optimization Petroleum Refining; Process Optimization

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ali Yusuf, Y. (2013). Green Petroleum Refining - Mathematical Models for Optimizing Petroleum Refining Under Emission Constraints. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7860

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Ali Yusuf, Yusuf. “Green Petroleum Refining - Mathematical Models for Optimizing Petroleum Refining Under Emission Constraints.” 2013. Thesis, University of Waterloo. Accessed December 07, 2019. http://hdl.handle.net/10012/7860.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ali Yusuf, Yusuf. “Green Petroleum Refining - Mathematical Models for Optimizing Petroleum Refining Under Emission Constraints.” 2013. Web. 07 Dec 2019.

Vancouver:

Ali Yusuf Y. Green Petroleum Refining - Mathematical Models for Optimizing Petroleum Refining Under Emission Constraints. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10012/7860.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ali Yusuf Y. Green Petroleum Refining - Mathematical Models for Optimizing Petroleum Refining Under Emission Constraints. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7860

Not specified: Masters Thesis or Doctoral Dissertation

15.
Sacher, Matthieu.
Méthodes avancées d'optimisation par méta-modèles – Applicationà la performance des voiliers de compétition : Advanced surrogate-based *optimization* methods - Application to racing yachts performance.

Degree: Docteur es, Mécanique-matériaux, 2018, Paris, ENSAM

URL: http://www.theses.fr/2018ENAM0032

►

L’optimisation de la performance des voiliers est un problème difficile en raison de la complexité du systèmemécanique (couplage aéro-élastique et hydrodynamique) et du nombre important… (more)

Subjects/Keywords: Optimisation globale; Méta-Modèles; Processus Gaussien; Classification; Multi-Fidélité; Interaction fluide-Structure; Global optimization; Surrogate models; Gaussian process; Classification; Multi-Fidelity; Fluid-Structure interaction

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Sacher, M. (2018). Méthodes avancées d'optimisation par méta-modèles – Applicationà la performance des voiliers de compétition : Advanced surrogate-based optimization methods - Application to racing yachts performance. (Doctoral Dissertation). Paris, ENSAM. Retrieved from http://www.theses.fr/2018ENAM0032

Chicago Manual of Style (16^{th} Edition):

Sacher, Matthieu. “Méthodes avancées d'optimisation par méta-modèles – Applicationà la performance des voiliers de compétition : Advanced surrogate-based optimization methods - Application to racing yachts performance.” 2018. Doctoral Dissertation, Paris, ENSAM. Accessed December 07, 2019. http://www.theses.fr/2018ENAM0032.

MLA Handbook (7^{th} Edition):

Sacher, Matthieu. “Méthodes avancées d'optimisation par méta-modèles – Applicationà la performance des voiliers de compétition : Advanced surrogate-based optimization methods - Application to racing yachts performance.” 2018. Web. 07 Dec 2019.

Vancouver:

Sacher M. Méthodes avancées d'optimisation par méta-modèles – Applicationà la performance des voiliers de compétition : Advanced surrogate-based optimization methods - Application to racing yachts performance. [Internet] [Doctoral dissertation]. Paris, ENSAM; 2018. [cited 2019 Dec 07]. Available from: http://www.theses.fr/2018ENAM0032.

Council of Science Editors:

Sacher M. Méthodes avancées d'optimisation par méta-modèles – Applicationà la performance des voiliers de compétition : Advanced surrogate-based optimization methods - Application to racing yachts performance. [Doctoral Dissertation]. Paris, ENSAM; 2018. Available from: http://www.theses.fr/2018ENAM0032

Cal Poly

16.
Baukol, Collin R.
Development of an Integrated *Gaussian* *Process* Metamodeling Application for Engineering Design.

Degree: MS, Aerospace Engineering, 2009, Cal Poly

URL: https://digitalcommons.calpoly.edu/theses/115 ; 10.15368/theses.2009.71

► As engineering technologies continue to grow and improve, the complexities in the engineering models which utilize these technologies also increase. This seemingly endless cycle of…
(more)

Subjects/Keywords: Metamodeling; Gaussian Process; Application; Metamodel; Systems Engineering and Multidisciplinary Design Optimization

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Baukol, C. R. (2009). Development of an Integrated Gaussian Process Metamodeling Application for Engineering Design. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/115 ; 10.15368/theses.2009.71

Chicago Manual of Style (16^{th} Edition):

Baukol, Collin R. “Development of an Integrated Gaussian Process Metamodeling Application for Engineering Design.” 2009. Masters Thesis, Cal Poly. Accessed December 07, 2019. https://digitalcommons.calpoly.edu/theses/115 ; 10.15368/theses.2009.71.

MLA Handbook (7^{th} Edition):

Baukol, Collin R. “Development of an Integrated Gaussian Process Metamodeling Application for Engineering Design.” 2009. Web. 07 Dec 2019.

Vancouver:

Baukol CR. Development of an Integrated Gaussian Process Metamodeling Application for Engineering Design. [Internet] [Masters thesis]. Cal Poly; 2009. [cited 2019 Dec 07]. Available from: https://digitalcommons.calpoly.edu/theses/115 ; 10.15368/theses.2009.71.

Council of Science Editors:

Baukol CR. Development of an Integrated Gaussian Process Metamodeling Application for Engineering Design. [Masters Thesis]. Cal Poly; 2009. Available from: https://digitalcommons.calpoly.edu/theses/115 ; 10.15368/theses.2009.71

17.
Ploé, Patrick.
Surrogate-based *optimization* of hydrofoil shapes using RANS simulations : Optimisation de géométries d’hydrofoils par modèles de substitution construits à partir de simulations RANS.

Degree: Docteur es, Mécanique des Milieux Fluides, 2018, Ecole centrale de Nantes

URL: http://www.theses.fr/2018ECDN0012

►

Cette thèse présente un framework d’optimisation pour la conception hydrodynamique de forme d’hydrofoils. L’optimisation d’hydrofoil par simulation implique des objectifs d’optimisation divergents et impose des… (more)

Subjects/Keywords: Optimisation par modèle de substitution; Régression par processus gaussien; Simulations RANS; Modeleur géométrique; Hydrofoils; Architecture navale; Surrogate-based optimization; Gaussian process regression; RANS simulations; Geometric modeling; Hydrofoils; Ship design

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ploé, P. (2018). Surrogate-based optimization of hydrofoil shapes using RANS simulations : Optimisation de géométries d’hydrofoils par modèles de substitution construits à partir de simulations RANS. (Doctoral Dissertation). Ecole centrale de Nantes. Retrieved from http://www.theses.fr/2018ECDN0012

Chicago Manual of Style (16^{th} Edition):

Ploé, Patrick. “Surrogate-based optimization of hydrofoil shapes using RANS simulations : Optimisation de géométries d’hydrofoils par modèles de substitution construits à partir de simulations RANS.” 2018. Doctoral Dissertation, Ecole centrale de Nantes. Accessed December 07, 2019. http://www.theses.fr/2018ECDN0012.

MLA Handbook (7^{th} Edition):

Ploé, Patrick. “Surrogate-based optimization of hydrofoil shapes using RANS simulations : Optimisation de géométries d’hydrofoils par modèles de substitution construits à partir de simulations RANS.” 2018. Web. 07 Dec 2019.

Vancouver:

Ploé P. Surrogate-based optimization of hydrofoil shapes using RANS simulations : Optimisation de géométries d’hydrofoils par modèles de substitution construits à partir de simulations RANS. [Internet] [Doctoral dissertation]. Ecole centrale de Nantes; 2018. [cited 2019 Dec 07]. Available from: http://www.theses.fr/2018ECDN0012.

Council of Science Editors:

Ploé P. Surrogate-based optimization of hydrofoil shapes using RANS simulations : Optimisation de géométries d’hydrofoils par modèles de substitution construits à partir de simulations RANS. [Doctoral Dissertation]. Ecole centrale de Nantes; 2018. Available from: http://www.theses.fr/2018ECDN0012

18.
Muthu selvan N B.
Application of *gaussian* and cauchy inspired pso
algorithms for power system *optimization* problems;.

Degree: Gaussian and cauchy inspired pso algorithms for power system optimization, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/16451

►

The main objective of this research work is to develop an enhanced newlineParticle Swarm *Optimization* (PSO) algorithm for solving various power newlinesystem generation scheduling problems.…
(more)

Subjects/Keywords: Cauchy; Electrical engineering; Gaussian; Power system optimization

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

B, M. s. N. (2014). Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/16451

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

B, Muthu selvan N. “Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;.” 2014. Thesis, Anna University. Accessed December 07, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/16451.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

B, Muthu selvan N. “Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;.” 2014. Web. 07 Dec 2019.

Vancouver:

B MsN. Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Dec 07]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16451.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

B MsN. Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16451

Not specified: Masters Thesis or Doctoral Dissertation

University of Manchester

19. Phillips, Nick. Modelling and analysis of oscillations in gene expression through neural development.

Degree: 2016, University of Manchester

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:299629

►

The timing of differentiation underlies the development of any organ system. In neural development, the expression of the transcription factor Hes1 has been shown to… (more)

Subjects/Keywords: neural stem cells; stochasticity; gaussian process; differentiation

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Phillips, N. (2016). Modelling and analysis of oscillations in gene expression through neural development. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:299629

Chicago Manual of Style (16^{th} Edition):

Phillips, Nick. “Modelling and analysis of oscillations in gene expression through neural development.” 2016. Doctoral Dissertation, University of Manchester. Accessed December 07, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:299629.

MLA Handbook (7^{th} Edition):

Phillips, Nick. “Modelling and analysis of oscillations in gene expression through neural development.” 2016. Web. 07 Dec 2019.

Vancouver:

Phillips N. Modelling and analysis of oscillations in gene expression through neural development. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2019 Dec 07]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:299629.

Council of Science Editors:

Phillips N. Modelling and analysis of oscillations in gene expression through neural development. [Doctoral Dissertation]. University of Manchester; 2016. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:299629

University of Sydney

20. Marchant Matus, Roman. Bayesian Optimisation for Planning in Dynamic Environments .

Degree: 2015, University of Sydney

URL: http://hdl.handle.net/2123/14497

► This thesis addresses the problem of trajectory planning for monitoring extreme values of an environmental phenomenon that changes in space and time. The most relevant…
(more)

Subjects/Keywords: Bayesian; Optimisation; Planning; Robotics; POMDP; Gaussian-Process

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Marchant Matus, R. (2015). Bayesian Optimisation for Planning in Dynamic Environments . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/14497

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Marchant Matus, Roman. “Bayesian Optimisation for Planning in Dynamic Environments .” 2015. Thesis, University of Sydney. Accessed December 07, 2019. http://hdl.handle.net/2123/14497.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Marchant Matus, Roman. “Bayesian Optimisation for Planning in Dynamic Environments .” 2015. Web. 07 Dec 2019.

Vancouver:

Marchant Matus R. Bayesian Optimisation for Planning in Dynamic Environments . [Internet] [Thesis]. University of Sydney; 2015. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2123/14497.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Marchant Matus R. Bayesian Optimisation for Planning in Dynamic Environments . [Thesis]. University of Sydney; 2015. Available from: http://hdl.handle.net/2123/14497

Not specified: Masters Thesis or Doctoral Dissertation

University of Sydney

21. Wilson, Troy Daniel. Adaptive Sampling For Efficient Online Modelling .

Degree: 2017, University of Sydney

URL: http://hdl.handle.net/2123/17257

► This thesis examines methods enabling autonomous systems to make active sampling and planning decisions in real time. *Gaussian* *Process* (GP) regression is chosen as a…
(more)

Subjects/Keywords: Planning; Entropy; Gaussian Process; Heteroscedastic; Autonomous

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wilson, T. D. (2017). Adaptive Sampling For Efficient Online Modelling . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/17257

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Wilson, Troy Daniel. “Adaptive Sampling For Efficient Online Modelling .” 2017. Thesis, University of Sydney. Accessed December 07, 2019. http://hdl.handle.net/2123/17257.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wilson, Troy Daniel. “Adaptive Sampling For Efficient Online Modelling .” 2017. Web. 07 Dec 2019.

Vancouver:

Wilson TD. Adaptive Sampling For Efficient Online Modelling . [Internet] [Thesis]. University of Sydney; 2017. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2123/17257.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wilson TD. Adaptive Sampling For Efficient Online Modelling . [Thesis]. University of Sydney; 2017. Available from: http://hdl.handle.net/2123/17257

Not specified: Masters Thesis or Doctoral Dissertation

Leiden University

22.
Wang, H.
Stochastic and deterministic algorithms for continuous black-box * optimization*.

Degree: 2018, Leiden University

URL: http://hdl.handle.net/1887/66671

► Continuous *optimization* is never easy: the exact solution is always a luxury demand and the theory of it is not always analytical and elegant. Continuous…
(more)

Subjects/Keywords: Stochastic optimization; Acquisition function; Orthogonalization; Gaussian process regression; Efficient global optimization; Parallelization; Hypervolume indicator; Stochastic optimization; Acquisition function; Orthogonalization; Gaussian process regression; Efficient global optimization; Parallelization; Hypervolume indicator

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wang, H. (2018). Stochastic and deterministic algorithms for continuous black-box optimization. (Doctoral Dissertation). Leiden University. Retrieved from http://hdl.handle.net/1887/66671

Chicago Manual of Style (16^{th} Edition):

Wang, H. “Stochastic and deterministic algorithms for continuous black-box optimization.” 2018. Doctoral Dissertation, Leiden University. Accessed December 07, 2019. http://hdl.handle.net/1887/66671.

MLA Handbook (7^{th} Edition):

Wang, H. “Stochastic and deterministic algorithms for continuous black-box optimization.” 2018. Web. 07 Dec 2019.

Vancouver:

Wang H. Stochastic and deterministic algorithms for continuous black-box optimization. [Internet] [Doctoral dissertation]. Leiden University; 2018. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/1887/66671.

Council of Science Editors:

Wang H. Stochastic and deterministic algorithms for continuous black-box optimization. [Doctoral Dissertation]. Leiden University; 2018. Available from: http://hdl.handle.net/1887/66671

23.
Rousis, Damon.
A pareto frontier intersection-based approach for efficient multiobjective *optimization* of competing concept alternatives.

Degree: PhD, Aerospace Engineering, 2011, Georgia Tech

URL: http://hdl.handle.net/1853/41136

► The expected growth of civil aviation over the next twenty years places significant emphasis on revolutionary technology development aimed at mitigating the environmental impact of…
(more)

Subjects/Keywords: Kriging; Expected improvement; S-Pareto; Gaussian process; Stochastic processes; Gaussian processes; Multidisciplinary design optimization; Combinatorial optimization; Monte Carlo method

…*Optimization* . . . . . . . . . . . . . .
11
6
Graphical Interpretation of Weighted Decision… …23
8
Example Decomposition for Analytical Hierarchy *Process* . . . . . . .
26
9… …Morphological Matrix . . . . . . . . . . .
32
12
Sequential *Optimization* of Three Competing… …34
14
Simultaneous Multiobjective *Optimization* . . . . . . . . . . . . . . .
36
15… …Concept Comparison with Ordinal *Optimization* . . . . . . . . . . . .
42
16
Fast Probability…

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Rousis, D. (2011). A pareto frontier intersection-based approach for efficient multiobjective optimization of competing concept alternatives. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/41136

Chicago Manual of Style (16^{th} Edition):

Rousis, Damon. “A pareto frontier intersection-based approach for efficient multiobjective optimization of competing concept alternatives.” 2011. Doctoral Dissertation, Georgia Tech. Accessed December 07, 2019. http://hdl.handle.net/1853/41136.

MLA Handbook (7^{th} Edition):

Rousis, Damon. “A pareto frontier intersection-based approach for efficient multiobjective optimization of competing concept alternatives.” 2011. Web. 07 Dec 2019.

Vancouver:

Rousis D. A pareto frontier intersection-based approach for efficient multiobjective optimization of competing concept alternatives. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/1853/41136.

Council of Science Editors:

Rousis D. A pareto frontier intersection-based approach for efficient multiobjective optimization of competing concept alternatives. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/41136

Duke University

24. Wei, Hongchuan. Sensor Planning for Bayesian Nonparametric Target Modeling .

Degree: 2016, Duke University

URL: http://hdl.handle.net/10161/12863

► Bayesian nonparametric models, such as the *Gaussian* *process* and the Dirichlet *process*, have been extensively applied for target kinematics modeling in various applications including…
(more)

Subjects/Keywords: Mechanical engineering; Bayesian nonparametric; Dirichlet process; Gaussian process; sensor planning

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wei, H. (2016). Sensor Planning for Bayesian Nonparametric Target Modeling . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/12863

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Wei, Hongchuan. “Sensor Planning for Bayesian Nonparametric Target Modeling .” 2016. Thesis, Duke University. Accessed December 07, 2019. http://hdl.handle.net/10161/12863.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wei, Hongchuan. “Sensor Planning for Bayesian Nonparametric Target Modeling .” 2016. Web. 07 Dec 2019.

Vancouver:

Wei H. Sensor Planning for Bayesian Nonparametric Target Modeling . [Internet] [Thesis]. Duke University; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10161/12863.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wei H. Sensor Planning for Bayesian Nonparametric Target Modeling . [Thesis]. Duke University; 2016. Available from: http://hdl.handle.net/10161/12863

Not specified: Masters Thesis or Doctoral Dissertation

25.
Veenendaal, G. van.
Tree-GP: A Scalable Bayesian Global Numerical *Optimization* algorithm.

Degree: 2015, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/307362

► This paper presents the Tree-GP algorithm: a scalable Bayesian global numerical *optimization* algorithm. The algorithm focuses on optimizing evaluation functions that are very expensive to…
(more)

Subjects/Keywords: Tree-GP; optimization; minimization; numerical; scalable; Gaussian; Gaussian process; regression; Gaussian process regression; Bayesian; Vantage-point; Vantage; Vantage-point tree; tree; mixture model

…9
2.3
2.3.1
*Gaussian* *process* regression
*Gaussian* *process*
Our algorithm puts a prior… …distribution over the loss function by modeling it with *Gaussian*
*process* regression. *Gaussian* *process*… …regression is a powerful regression technique that models
the loss function with a *Gaussian* *process*… …A *Gaussian* *process* is formally defined as a probability
distribution over functions y(… …from the *Gaussian*
*process* as
m(x) = E[y(x)],
k(x, x0 )…

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Veenendaal, G. v. (2015). Tree-GP: A Scalable Bayesian Global Numerical Optimization algorithm. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/307362

Chicago Manual of Style (16^{th} Edition):

Veenendaal, G van. “Tree-GP: A Scalable Bayesian Global Numerical Optimization algorithm.” 2015. Masters Thesis, Universiteit Utrecht. Accessed December 07, 2019. http://dspace.library.uu.nl:8080/handle/1874/307362.

MLA Handbook (7^{th} Edition):

Veenendaal, G van. “Tree-GP: A Scalable Bayesian Global Numerical Optimization algorithm.” 2015. Web. 07 Dec 2019.

Vancouver:

Veenendaal Gv. Tree-GP: A Scalable Bayesian Global Numerical Optimization algorithm. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2019 Dec 07]. Available from: http://dspace.library.uu.nl:8080/handle/1874/307362.

Council of Science Editors:

Veenendaal Gv. Tree-GP: A Scalable Bayesian Global Numerical Optimization algorithm. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/307362

Penn State University

26.
Chang, Won.
Climate Model Calibration Using High-Dimensional and
Non-*Gaussian* Spatial Data.

Degree: PhD, Statistics, 2014, Penn State University

URL: https://etda.libraries.psu.edu/catalog/22487

► This thesis focuses on statistical methods to calibrate complex computer models using high-dimensional spatial data sets. This work is motivated by important research problems in…
(more)

Subjects/Keywords: Climate Model Calibration; Gaussian Process; High-dimensional Spatial Data; Non-Gaussian Spatial Data

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Chang, W. (2014). Climate Model Calibration Using High-Dimensional and Non-Gaussian Spatial Data. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/22487

Chicago Manual of Style (16^{th} Edition):

Chang, Won. “Climate Model Calibration Using High-Dimensional and Non-Gaussian Spatial Data.” 2014. Doctoral Dissertation, Penn State University. Accessed December 07, 2019. https://etda.libraries.psu.edu/catalog/22487.

MLA Handbook (7^{th} Edition):

Chang, Won. “Climate Model Calibration Using High-Dimensional and Non-Gaussian Spatial Data.” 2014. Web. 07 Dec 2019.

Vancouver:

Chang W. Climate Model Calibration Using High-Dimensional and Non-Gaussian Spatial Data. [Internet] [Doctoral dissertation]. Penn State University; 2014. [cited 2019 Dec 07]. Available from: https://etda.libraries.psu.edu/catalog/22487.

Council of Science Editors:

Chang W. Climate Model Calibration Using High-Dimensional and Non-Gaussian Spatial Data. [Doctoral Dissertation]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/22487

Carnegie Mellon University

27. Castellanos, Lucia. Statistical Models and Algorithms for Studying Hand and Finger Kinematics and their Neural Mechanisms.

Degree: 2013, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/273

► The primate hand, a biomechanical structure with over twenty kinematic degrees of freedom, has an elaborate anatomical architecture. Although the hand requires complex, coordinated neural…
(more)

Subjects/Keywords: Variance Decomposition; Multivariate Gaussian Process Factor Analysis; Laplace Gaussian Filter; Functional Data Alignment; Encoding; Decoding

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Castellanos, L. (2013). Statistical Models and Algorithms for Studying Hand and Finger Kinematics and their Neural Mechanisms. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/273

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Castellanos, Lucia. “Statistical Models and Algorithms for Studying Hand and Finger Kinematics and their Neural Mechanisms.” 2013. Thesis, Carnegie Mellon University. Accessed December 07, 2019. http://repository.cmu.edu/dissertations/273.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Castellanos, Lucia. “Statistical Models and Algorithms for Studying Hand and Finger Kinematics and their Neural Mechanisms.” 2013. Web. 07 Dec 2019.

Vancouver:

Castellanos L. Statistical Models and Algorithms for Studying Hand and Finger Kinematics and their Neural Mechanisms. [Internet] [Thesis]. Carnegie Mellon University; 2013. [cited 2019 Dec 07]. Available from: http://repository.cmu.edu/dissertations/273.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Castellanos L. Statistical Models and Algorithms for Studying Hand and Finger Kinematics and their Neural Mechanisms. [Thesis]. Carnegie Mellon University; 2013. Available from: http://repository.cmu.edu/dissertations/273

Not specified: Masters Thesis or Doctoral Dissertation

28.
Nie, Yisu.
Integration of Scheduling and Dynamic *Optimization*: Computational Strategies and Industrial Applications.

Degree: 2014, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/380

► This thesis study focuses on the development of model-based *optimization* strategies for the integration of *process* scheduling and dynamic *optimization*, and applications of the integrated…
(more)

Subjects/Keywords: process scheduling; dynamic optimization; process integration; polymerization

Record Details Similar Records

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APA (6^{th} Edition):

Nie, Y. (2014). Integration of Scheduling and Dynamic Optimization: Computational Strategies and Industrial Applications. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/380

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Nie, Yisu. “Integration of Scheduling and Dynamic Optimization: Computational Strategies and Industrial Applications.” 2014. Thesis, Carnegie Mellon University. Accessed December 07, 2019. http://repository.cmu.edu/dissertations/380.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Nie, Yisu. “Integration of Scheduling and Dynamic Optimization: Computational Strategies and Industrial Applications.” 2014. Web. 07 Dec 2019.

Vancouver:

Nie Y. Integration of Scheduling and Dynamic Optimization: Computational Strategies and Industrial Applications. [Internet] [Thesis]. Carnegie Mellon University; 2014. [cited 2019 Dec 07]. Available from: http://repository.cmu.edu/dissertations/380.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nie Y. Integration of Scheduling and Dynamic Optimization: Computational Strategies and Industrial Applications. [Thesis]. Carnegie Mellon University; 2014. Available from: http://repository.cmu.edu/dissertations/380

Not specified: Masters Thesis or Doctoral Dissertation

29.
Vijayachitra S.
Studies on *process* modeling and *optimization*;.

Degree: Studies on process modeling and optimization, 2015, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/32160

►

Many of the industrial processes are difficult to model because of newlinetheir complex behavior influential characteristics and operational conditions newlineMathematical models of industrial processes provide… (more)

Subjects/Keywords: electrical engineering; optimization; process modeling

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

S, V. (2015). Studies on process modeling and optimization;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/32160

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

S, Vijayachitra. “Studies on process modeling and optimization;.” 2015. Thesis, Anna University. Accessed December 07, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/32160.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

S, Vijayachitra. “Studies on process modeling and optimization;.” 2015. Web. 07 Dec 2019.

Vancouver:

S V. Studies on process modeling and optimization;. [Internet] [Thesis]. Anna University; 2015. [cited 2019 Dec 07]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/32160.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

S V. Studies on process modeling and optimization;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/32160

Not specified: Masters Thesis or Doctoral Dissertation

Université Catholique de Louvain

30. Briol, Arnaud. Mémoire projet visant à résoudre la surcharge de l’hôpital de jour du CHU Tivoli grâce à la simulation.

Degree: 2016, Université Catholique de Louvain

URL: http://hdl.handle.net/2078.1/thesis:7123

►

Le but du projet est de fournir au CHU Tivoli une solution à la surcharge de l’hôpital de jour. L’objectif secondaire est de réduire le… (more)

Subjects/Keywords: Simulation; hospital; process optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Briol, A. (2016). Mémoire projet visant à résoudre la surcharge de l’hôpital de jour du CHU Tivoli grâce à la simulation. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/thesis:7123

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Briol, Arnaud. “Mémoire projet visant à résoudre la surcharge de l’hôpital de jour du CHU Tivoli grâce à la simulation.” 2016. Thesis, Université Catholique de Louvain. Accessed December 07, 2019. http://hdl.handle.net/2078.1/thesis:7123.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Briol, Arnaud. “Mémoire projet visant à résoudre la surcharge de l’hôpital de jour du CHU Tivoli grâce à la simulation.” 2016. Web. 07 Dec 2019.

Vancouver:

Briol A. Mémoire projet visant à résoudre la surcharge de l’hôpital de jour du CHU Tivoli grâce à la simulation. [Internet] [Thesis]. Université Catholique de Louvain; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2078.1/thesis:7123.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Briol A. Mémoire projet visant à résoudre la surcharge de l’hôpital de jour du CHU Tivoli grâce à la simulation. [Thesis]. Université Catholique de Louvain; 2016. Available from: http://hdl.handle.net/2078.1/thesis:7123

Not specified: Masters Thesis or Doctoral Dissertation