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Dates: 2015 – 2019

You searched for subject:(Probabilistic modeling). Showing records 1 – 30 of 59 total matches.

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University of California – Irvine

1. Lichman, Moshe. Context-Based Smoothing for Personlized Prediction Models.

Degree: Computer Science, 2017, University of California – Irvine

 Software applications that digitally collect and store individual activity data are increasingly prevalent in our daily lives. With the widespread availability of such data, there… (more)

Subjects/Keywords: Computer science; Consumption Modeling; Probabilistic Models; Spatial Models; User Modeling

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APA (6th Edition):

Lichman, M. (2017). Context-Based Smoothing for Personlized Prediction Models. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/7373h1rg

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lichman, Moshe. “Context-Based Smoothing for Personlized Prediction Models.” 2017. Thesis, University of California – Irvine. Accessed October 21, 2019. http://www.escholarship.org/uc/item/7373h1rg.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lichman, Moshe. “Context-Based Smoothing for Personlized Prediction Models.” 2017. Web. 21 Oct 2019.

Vancouver:

Lichman M. Context-Based Smoothing for Personlized Prediction Models. [Internet] [Thesis]. University of California – Irvine; 2017. [cited 2019 Oct 21]. Available from: http://www.escholarship.org/uc/item/7373h1rg.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lichman M. Context-Based Smoothing for Personlized Prediction Models. [Thesis]. University of California – Irvine; 2017. Available from: http://www.escholarship.org/uc/item/7373h1rg

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Southern California

2. Thomason, Andrew Charles. Modeling burn probability: a Maxent approach to estimating California's wildfire potential.

Degree: MS, Geographic Information Science and Technology, 2015, University of Southern California

 Increased wildfire activity throughout California over the past decade demands greater research on wildfire management approaches. Understanding natural, as well as human landscape characteristics that… (more)

Subjects/Keywords: wildfire; Maxent algorithm; spatial modeling; topography; climate; fuels; ignitions; species distribution modeling; probabilistic modeling

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APA (6th Edition):

Thomason, A. C. (2015). Modeling burn probability: a Maxent approach to estimating California's wildfire potential. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/573852/rec/4124

Chicago Manual of Style (16th Edition):

Thomason, Andrew Charles. “Modeling burn probability: a Maxent approach to estimating California's wildfire potential.” 2015. Masters Thesis, University of Southern California. Accessed October 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/573852/rec/4124.

MLA Handbook (7th Edition):

Thomason, Andrew Charles. “Modeling burn probability: a Maxent approach to estimating California's wildfire potential.” 2015. Web. 21 Oct 2019.

Vancouver:

Thomason AC. Modeling burn probability: a Maxent approach to estimating California's wildfire potential. [Internet] [Masters thesis]. University of Southern California; 2015. [cited 2019 Oct 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/573852/rec/4124.

Council of Science Editors:

Thomason AC. Modeling burn probability: a Maxent approach to estimating California's wildfire potential. [Masters Thesis]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/573852/rec/4124


University of Illinois – Urbana-Champaign

3. Subakan, Y. Cem. Generative modeling of sequential data.

Degree: PhD, Computer Science, 2018, University of Illinois – Urbana-Champaign

 In this thesis, we investigate various approaches for generative modeling, with a special emphasis on sequential data. Namely, we develop methodologies to deal with issues… (more)

Subjects/Keywords: Generative Modeling; Sequential Modeling; Generative Adversarial Networks; Probabilistic Modeling; Method of Moments

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APA (6th Edition):

Subakan, Y. C. (2018). Generative modeling of sequential data. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/100972

Chicago Manual of Style (16th Edition):

Subakan, Y Cem. “Generative modeling of sequential data.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 21, 2019. http://hdl.handle.net/2142/100972.

MLA Handbook (7th Edition):

Subakan, Y Cem. “Generative modeling of sequential data.” 2018. Web. 21 Oct 2019.

Vancouver:

Subakan YC. Generative modeling of sequential data. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/2142/100972.

Council of Science Editors:

Subakan YC. Generative modeling of sequential data. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/100972


University of California – Irvine

4. Bache, Kevin. Machine Learning for the Sciences.

Degree: Computer Science, 2017, University of California – Irvine

 Progress in the sciences depends critically on the analysis of ever-growing bodies of data. Many of these analysis patterns are inferential in nature; their goal… (more)

Subjects/Keywords: Computer science; Statistics; Data Science; Machine Learning; Neural Networks; Probabilistic Modeling

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APA (6th Edition):

Bache, K. (2017). Machine Learning for the Sciences. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/45j4f93n

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bache, Kevin. “Machine Learning for the Sciences.” 2017. Thesis, University of California – Irvine. Accessed October 21, 2019. http://www.escholarship.org/uc/item/45j4f93n.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bache, Kevin. “Machine Learning for the Sciences.” 2017. Web. 21 Oct 2019.

Vancouver:

Bache K. Machine Learning for the Sciences. [Internet] [Thesis]. University of California – Irvine; 2017. [cited 2019 Oct 21]. Available from: http://www.escholarship.org/uc/item/45j4f93n.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bache K. Machine Learning for the Sciences. [Thesis]. University of California – Irvine; 2017. Available from: http://www.escholarship.org/uc/item/45j4f93n

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


McMaster University

5. Mulla, Daanish. Modeling the functional roles of scapulohumeral muscles.

Degree: MSc, 2018, McMaster University

A high degree of variability is commonly encountered in biomechanical investigations of the shoulder. Researchers have hypothesized that the variation between individuals explains why only… (more)

Subjects/Keywords: Biomechanics; Glenohumeral Joint; Shoulder; Stability; Probabilistic Modeling; Variability

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APA (6th Edition):

Mulla, D. (2018). Modeling the functional roles of scapulohumeral muscles. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/23963

Chicago Manual of Style (16th Edition):

Mulla, Daanish. “Modeling the functional roles of scapulohumeral muscles.” 2018. Masters Thesis, McMaster University. Accessed October 21, 2019. http://hdl.handle.net/11375/23963.

MLA Handbook (7th Edition):

Mulla, Daanish. “Modeling the functional roles of scapulohumeral muscles.” 2018. Web. 21 Oct 2019.

Vancouver:

Mulla D. Modeling the functional roles of scapulohumeral muscles. [Internet] [Masters thesis]. McMaster University; 2018. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/11375/23963.

Council of Science Editors:

Mulla D. Modeling the functional roles of scapulohumeral muscles. [Masters Thesis]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/23963


University of Oxford

6. Rainforth, Thomas William Gamlen. Automating inference, learning, and design using probabilistic programming.

Degree: PhD, 2017, University of Oxford

 Imagine a world where computational simulations can be inverted as easily as running them forwards, where data can be used to refine models automatically, and… (more)

Subjects/Keywords: Monte Carlo methods; Bayesian modeling; Probabilistic programming; Machine learning

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APA (6th Edition):

Rainforth, T. W. G. (2017). Automating inference, learning, and design using probabilistic programming. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:e276f3b4-ff1d-44bf-9d67-013f68ce81f0 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757777

Chicago Manual of Style (16th Edition):

Rainforth, Thomas William Gamlen. “Automating inference, learning, and design using probabilistic programming.” 2017. Doctoral Dissertation, University of Oxford. Accessed October 21, 2019. http://ora.ox.ac.uk/objects/uuid:e276f3b4-ff1d-44bf-9d67-013f68ce81f0 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757777.

MLA Handbook (7th Edition):

Rainforth, Thomas William Gamlen. “Automating inference, learning, and design using probabilistic programming.” 2017. Web. 21 Oct 2019.

Vancouver:

Rainforth TWG. Automating inference, learning, and design using probabilistic programming. [Internet] [Doctoral dissertation]. University of Oxford; 2017. [cited 2019 Oct 21]. Available from: http://ora.ox.ac.uk/objects/uuid:e276f3b4-ff1d-44bf-9d67-013f68ce81f0 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757777.

Council of Science Editors:

Rainforth TWG. Automating inference, learning, and design using probabilistic programming. [Doctoral Dissertation]. University of Oxford; 2017. Available from: http://ora.ox.ac.uk/objects/uuid:e276f3b4-ff1d-44bf-9d67-013f68ce81f0 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757777


Texas A&M University

7. Alahmadi, Hasan Ali H. A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia.

Degree: PhD, Petroleum Engineering, 2016, Texas A&M University

 An energy producer must determine optimal energy investment strategies in order to maximize the value of its energy portfolio. Determining optimal investment strategies is challenging.… (more)

Subjects/Keywords: Energy Optimization; Uncertainty Quantification; Probabilistic Energy Modeling; Energy Economics

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APA (6th Edition):

Alahmadi, H. A. H. (2016). A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157993

Chicago Manual of Style (16th Edition):

Alahmadi, Hasan Ali H. “A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia.” 2016. Doctoral Dissertation, Texas A&M University. Accessed October 21, 2019. http://hdl.handle.net/1969.1/157993.

MLA Handbook (7th Edition):

Alahmadi, Hasan Ali H. “A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia.” 2016. Web. 21 Oct 2019.

Vancouver:

Alahmadi HAH. A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1969.1/157993.

Council of Science Editors:

Alahmadi HAH. A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157993

8. Boroomand, Ameneh. A Unified Probabilistic Computational Framework for Cross-Domain Compensated Medical Imaging.

Degree: 2016, University of Waterloo

 The quality of medical imaging is an important factor that can directly affect on the results of different medical imaging tests which routinely being used… (more)

Subjects/Keywords: Medical image processing; Medical image quality improvement; Probabilistic modeling

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APA (6th Edition):

Boroomand, A. (2016). A Unified Probabilistic Computational Framework for Cross-Domain Compensated Medical Imaging. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/11143

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Boroomand, Ameneh. “A Unified Probabilistic Computational Framework for Cross-Domain Compensated Medical Imaging.” 2016. Thesis, University of Waterloo. Accessed October 21, 2019. http://hdl.handle.net/10012/11143.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Boroomand, Ameneh. “A Unified Probabilistic Computational Framework for Cross-Domain Compensated Medical Imaging.” 2016. Web. 21 Oct 2019.

Vancouver:

Boroomand A. A Unified Probabilistic Computational Framework for Cross-Domain Compensated Medical Imaging. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10012/11143.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Boroomand A. A Unified Probabilistic Computational Framework for Cross-Domain Compensated Medical Imaging. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/11143

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

9. Zhang, Yang. Probabilistic generative modeling of speech.

Degree: MS, Electrical & Computer Engineering, 2015, University of Illinois – Urbana-Champaign

 Speech processing refers to a set of tasks that involve speech analysis and synthesis. Most speech processing algorithms model a subset of speech parameters of… (more)

Subjects/Keywords: Probabilistic acoustic tube; speech modeling; speech analysis; generative model

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APA (6th Edition):

Zhang, Y. (2015). Probabilistic generative modeling of speech. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/89006

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Yang. “Probabilistic generative modeling of speech.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed October 21, 2019. http://hdl.handle.net/2142/89006.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Yang. “Probabilistic generative modeling of speech.” 2015. Web. 21 Oct 2019.

Vancouver:

Zhang Y. Probabilistic generative modeling of speech. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/2142/89006.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang Y. Probabilistic generative modeling of speech. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/89006

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Colorado State University

10. Vollmer, Charles T. Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling.

Degree: PhD, Statistics, 2019, Colorado State University

Modeling nuclear radiation damage necessarily involves multiple scales in both time and space, where molecular-level models have drastically different assumptions and phenomena than continuumlevel models.… (more)

Subjects/Keywords: Materials Modeling; Multiscale; Stochastic Processes; Multiphysics; Cellular Automata; Probabilistic Cellular Automata

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APA (6th Edition):

Vollmer, C. T. (2019). Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/195397

Chicago Manual of Style (16th Edition):

Vollmer, Charles T. “Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling.” 2019. Doctoral Dissertation, Colorado State University. Accessed October 21, 2019. http://hdl.handle.net/10217/195397.

MLA Handbook (7th Edition):

Vollmer, Charles T. “Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling.” 2019. Web. 21 Oct 2019.

Vancouver:

Vollmer CT. Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10217/195397.

Council of Science Editors:

Vollmer CT. Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195397


Texas A&M University

11. Cavaluzzi, Jack Matthew. Time-Based Risk-Informed Safety Margins: Concepts and Application to Heterogeneous Systems.

Degree: 2015, Texas A&M University

 A model to quantify the temporal failure probability for a nuclear power station?s fleet of multiple, redundant, emergency diesel generators (EDGs) is developed and demonstrated… (more)

Subjects/Keywords: nuclear safety; nuclear engineering; reliability engineering; mathematical modeling; probability; probabilistic risk assessment (PRA)

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APA (6th Edition):

Cavaluzzi, J. M. (2015). Time-Based Risk-Informed Safety Margins: Concepts and Application to Heterogeneous Systems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156464

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cavaluzzi, Jack Matthew. “Time-Based Risk-Informed Safety Margins: Concepts and Application to Heterogeneous Systems.” 2015. Thesis, Texas A&M University. Accessed October 21, 2019. http://hdl.handle.net/1969.1/156464.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cavaluzzi, Jack Matthew. “Time-Based Risk-Informed Safety Margins: Concepts and Application to Heterogeneous Systems.” 2015. Web. 21 Oct 2019.

Vancouver:

Cavaluzzi JM. Time-Based Risk-Informed Safety Margins: Concepts and Application to Heterogeneous Systems. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1969.1/156464.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cavaluzzi JM. Time-Based Risk-Informed Safety Margins: Concepts and Application to Heterogeneous Systems. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156464

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Hultman, Jason. Fast-Track Queueing Models for Emergency Rooms .

Degree: 2015, California State University – San Marcos

 Hospital emergency room patients often experience lengthy delays while waiting for an open bed and treatment. Some patients become frustrated and leave without being seen,… (more)

Subjects/Keywords: Emergency Room Operations; Minimizing Wait Time; Probabilistic Modeling; Fast-Track; Triage Models; Computer Simulation

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APA (6th Edition):

Hultman, J. (2015). Fast-Track Queueing Models for Emergency Rooms . (Thesis). California State University – San Marcos. Retrieved from http://hdl.handle.net/10211.3/142760

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hultman, Jason. “Fast-Track Queueing Models for Emergency Rooms .” 2015. Thesis, California State University – San Marcos. Accessed October 21, 2019. http://hdl.handle.net/10211.3/142760.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hultman, Jason. “Fast-Track Queueing Models for Emergency Rooms .” 2015. Web. 21 Oct 2019.

Vancouver:

Hultman J. Fast-Track Queueing Models for Emergency Rooms . [Internet] [Thesis]. California State University – San Marcos; 2015. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10211.3/142760.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hultman J. Fast-Track Queueing Models for Emergency Rooms . [Thesis]. California State University – San Marcos; 2015. Available from: http://hdl.handle.net/10211.3/142760

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Cincinnati

13. Sundaramurthy, Gopinath. A Probabilistic Approach for Automated Discovery of Biomarkers using Expression Data from Microarray or RNA-Seq Datasets.

Degree: PhD, Medicine: Systems Biology and Physiology, 2016, University of Cincinnati

 The response to perturbations in cellular systems is governed by a large number of molecular circuits that coalesce into a complex network. In complex diseases,… (more)

Subjects/Keywords: Bioinformatics; Biomarker discovery; Probabilistic modeling; Network analysis; Expression Analysis; Complex disease; Genomics

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APA (6th Edition):

Sundaramurthy, G. (2016). A Probabilistic Approach for Automated Discovery of Biomarkers using Expression Data from Microarray or RNA-Seq Datasets. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1459528594

Chicago Manual of Style (16th Edition):

Sundaramurthy, Gopinath. “A Probabilistic Approach for Automated Discovery of Biomarkers using Expression Data from Microarray or RNA-Seq Datasets.” 2016. Doctoral Dissertation, University of Cincinnati. Accessed October 21, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1459528594.

MLA Handbook (7th Edition):

Sundaramurthy, Gopinath. “A Probabilistic Approach for Automated Discovery of Biomarkers using Expression Data from Microarray or RNA-Seq Datasets.” 2016. Web. 21 Oct 2019.

Vancouver:

Sundaramurthy G. A Probabilistic Approach for Automated Discovery of Biomarkers using Expression Data from Microarray or RNA-Seq Datasets. [Internet] [Doctoral dissertation]. University of Cincinnati; 2016. [cited 2019 Oct 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1459528594.

Council of Science Editors:

Sundaramurthy G. A Probabilistic Approach for Automated Discovery of Biomarkers using Expression Data from Microarray or RNA-Seq Datasets. [Doctoral Dissertation]. University of Cincinnati; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1459528594

14. Tran, Vinh Phuc. Modélisation à plusieurs échelles d'un milieu continu hétérogène aléatoire : Stochastic modeling of random heterogeneous materials.

Degree: Docteur es, Mécanique, 2016, Université Paris-Est

Lorsque les longueurs caractéristiques sont bien séparées, la théorie de l'homogénéisation propose un cadre théorique rigoureux pour les matériaux hétérogènes. Dans ce contexte, les propriétés… (more)

Subjects/Keywords: Modélisation probabiliste; Milieux généralisés; Homogénéisation; Approche variationelle; Probabilistic modeling; Generalized continua; Homogenization; Variational approach

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APA (6th Edition):

Tran, V. P. (2016). Modélisation à plusieurs échelles d'un milieu continu hétérogène aléatoire : Stochastic modeling of random heterogeneous materials. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2016PESC1159

Chicago Manual of Style (16th Edition):

Tran, Vinh Phuc. “Modélisation à plusieurs échelles d'un milieu continu hétérogène aléatoire : Stochastic modeling of random heterogeneous materials.” 2016. Doctoral Dissertation, Université Paris-Est. Accessed October 21, 2019. http://www.theses.fr/2016PESC1159.

MLA Handbook (7th Edition):

Tran, Vinh Phuc. “Modélisation à plusieurs échelles d'un milieu continu hétérogène aléatoire : Stochastic modeling of random heterogeneous materials.” 2016. Web. 21 Oct 2019.

Vancouver:

Tran VP. Modélisation à plusieurs échelles d'un milieu continu hétérogène aléatoire : Stochastic modeling of random heterogeneous materials. [Internet] [Doctoral dissertation]. Université Paris-Est; 2016. [cited 2019 Oct 21]. Available from: http://www.theses.fr/2016PESC1159.

Council of Science Editors:

Tran VP. Modélisation à plusieurs échelles d'un milieu continu hétérogène aléatoire : Stochastic modeling of random heterogeneous materials. [Doctoral Dissertation]. Université Paris-Est; 2016. Available from: http://www.theses.fr/2016PESC1159


University of California – Santa Cruz

15. Sridhar, Dhanya. Learning Structured and Causal Probabilistic Models for Computational Science.

Degree: Computer Science, 2018, University of California – Santa Cruz

 The drive to understand human phenomena such as our behavior and biology guides scientific discovery in the social and biological sciences. Today's wealth of observational… (more)

Subjects/Keywords: Artificial intelligence; Causality; Computational biology; Computational social science; Probabilistic modeling; Statistical relational learning

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

APA (6th Edition):

Sridhar, D. (2018). Learning Structured and Causal Probabilistic Models for Computational Science. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/0xf1t2zr

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sridhar, Dhanya. “Learning Structured and Causal Probabilistic Models for Computational Science.” 2018. Thesis, University of California – Santa Cruz. Accessed October 21, 2019. http://www.escholarship.org/uc/item/0xf1t2zr.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sridhar, Dhanya. “Learning Structured and Causal Probabilistic Models for Computational Science.” 2018. Web. 21 Oct 2019.

Vancouver:

Sridhar D. Learning Structured and Causal Probabilistic Models for Computational Science. [Internet] [Thesis]. University of California – Santa Cruz; 2018. [cited 2019 Oct 21]. Available from: http://www.escholarship.org/uc/item/0xf1t2zr.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sridhar D. Learning Structured and Causal Probabilistic Models for Computational Science. [Thesis]. University of California – Santa Cruz; 2018. Available from: http://www.escholarship.org/uc/item/0xf1t2zr

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. Omar, Farheen. Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications.

Degree: 2016, University of Waterloo

Probabilistic Graphical Models are often used to e fficiently encode uncertainty in real world problems as probability distributions. Bayesian learning allows us to compute a… (more)

Subjects/Keywords: Machine Learning; Artificial Intelligence; Bayesian Learning; Probabilistic Graphical Models; Topic Modeling; Activity Recognition

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APA (6th Edition):

Omar, F. (2016). Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10499

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Omar, Farheen. “Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications.” 2016. Thesis, University of Waterloo. Accessed October 21, 2019. http://hdl.handle.net/10012/10499.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Omar, Farheen. “Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications.” 2016. Web. 21 Oct 2019.

Vancouver:

Omar F. Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10012/10499.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Omar F. Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10499

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

17. Srikrishnan, Vivek. Markov-Switching Models for Probabilistic Solar Resource Assessment and Forecasting.

Degree: 2018, Penn State University

 This work proposes and analyzes a Markov-switching autoregression model structurefor joint probabilistic modeling of the beam and global components of solarirradiance, which are important to… (more)

Subjects/Keywords: Solar resource assessment; solar forecasting; Bayesian statistics; Markov-switching models; probabilistic modeling

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APA (6th Edition):

Srikrishnan, V. (2018). Markov-Switching Models for Probabilistic Solar Resource Assessment and Forecasting. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/14991vxs914

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Srikrishnan, Vivek. “Markov-Switching Models for Probabilistic Solar Resource Assessment and Forecasting.” 2018. Thesis, Penn State University. Accessed October 21, 2019. https://etda.libraries.psu.edu/catalog/14991vxs914.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Srikrishnan, Vivek. “Markov-Switching Models for Probabilistic Solar Resource Assessment and Forecasting.” 2018. Web. 21 Oct 2019.

Vancouver:

Srikrishnan V. Markov-Switching Models for Probabilistic Solar Resource Assessment and Forecasting. [Internet] [Thesis]. Penn State University; 2018. [cited 2019 Oct 21]. Available from: https://etda.libraries.psu.edu/catalog/14991vxs914.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Srikrishnan V. Markov-Switching Models for Probabilistic Solar Resource Assessment and Forecasting. [Thesis]. Penn State University; 2018. Available from: https://etda.libraries.psu.edu/catalog/14991vxs914

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

18. Xu, Zhifeng. Probabilistic Modeling of Brittle and Quasi-Brittle Fracture: First-Passage and Weakest-Link Analyses.

Degree: PhD, Civil Engineering, 2019, University of Minnesota

 In this research, two new probabilistic models are proposed for strength distributions of brittle and quasi-brittle structures. The first model is a continuous probabilistic model… (more)

Subjects/Keywords: First-passage analysis; Microelectromechanical systems; Power-law tail; Probabilistic Modeling; Structural reliability; Weakest-link model

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APA (6th Edition):

Xu, Z. (2019). Probabilistic Modeling of Brittle and Quasi-Brittle Fracture: First-Passage and Weakest-Link Analyses. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/206206

Chicago Manual of Style (16th Edition):

Xu, Zhifeng. “Probabilistic Modeling of Brittle and Quasi-Brittle Fracture: First-Passage and Weakest-Link Analyses.” 2019. Doctoral Dissertation, University of Minnesota. Accessed October 21, 2019. http://hdl.handle.net/11299/206206.

MLA Handbook (7th Edition):

Xu, Zhifeng. “Probabilistic Modeling of Brittle and Quasi-Brittle Fracture: First-Passage and Weakest-Link Analyses.” 2019. Web. 21 Oct 2019.

Vancouver:

Xu Z. Probabilistic Modeling of Brittle and Quasi-Brittle Fracture: First-Passage and Weakest-Link Analyses. [Internet] [Doctoral dissertation]. University of Minnesota; 2019. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/11299/206206.

Council of Science Editors:

Xu Z. Probabilistic Modeling of Brittle and Quasi-Brittle Fracture: First-Passage and Weakest-Link Analyses. [Doctoral Dissertation]. University of Minnesota; 2019. Available from: http://hdl.handle.net/11299/206206

19. Nader, Christian. Stratégie multi-échelles de modélisation probabiliste de la fissuration des structures en béton armé : A Multi-Scale Strategy for the Probabilistic Modeling of Reinforced Concrete Structures.

Degree: Docteur es, Sciences des Matériaux, 2017, Université Paris-Est

Il n'existe pas de nos jours une approche modélisatrice satisfaisante de la fissuration des structures en béton de grandes dimensions, capable d'apporter à la fois… (more)

Subjects/Keywords: Fissuration; Béton armé; Elements finis; Stratégie multi-Échelles; Approche probabiliste; Cracking; Reinforced concrete; Finite elements; Multi-Scale strategy; Probabilistic modeling

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

APA (6th Edition):

Nader, C. (2017). Stratégie multi-échelles de modélisation probabiliste de la fissuration des structures en béton armé : A Multi-Scale Strategy for the Probabilistic Modeling of Reinforced Concrete Structures. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2017PESC1157

Chicago Manual of Style (16th Edition):

Nader, Christian. “Stratégie multi-échelles de modélisation probabiliste de la fissuration des structures en béton armé : A Multi-Scale Strategy for the Probabilistic Modeling of Reinforced Concrete Structures.” 2017. Doctoral Dissertation, Université Paris-Est. Accessed October 21, 2019. http://www.theses.fr/2017PESC1157.

MLA Handbook (7th Edition):

Nader, Christian. “Stratégie multi-échelles de modélisation probabiliste de la fissuration des structures en béton armé : A Multi-Scale Strategy for the Probabilistic Modeling of Reinforced Concrete Structures.” 2017. Web. 21 Oct 2019.

Vancouver:

Nader C. Stratégie multi-échelles de modélisation probabiliste de la fissuration des structures en béton armé : A Multi-Scale Strategy for the Probabilistic Modeling of Reinforced Concrete Structures. [Internet] [Doctoral dissertation]. Université Paris-Est; 2017. [cited 2019 Oct 21]. Available from: http://www.theses.fr/2017PESC1157.

Council of Science Editors:

Nader C. Stratégie multi-échelles de modélisation probabiliste de la fissuration des structures en béton armé : A Multi-Scale Strategy for the Probabilistic Modeling of Reinforced Concrete Structures. [Doctoral Dissertation]. Université Paris-Est; 2017. Available from: http://www.theses.fr/2017PESC1157

20. Myers, Casey A. Probabilistic Musculoskeletal Simulation Methods to Address Intersegmental Dependencies of the Knee, Hip, and Spine.

Degree: PhD, Mechanical Engineering, 2015, U of Denver

  Orthropaedic clinical practice in the area of the knee, hip, and spine has benefited from the concept of regional interdependence, where interventions applied to… (more)

Subjects/Keywords: arthroplasty; Musculoskeletal Modeling; Orthropaedic; Probabilistic; Regional Interdependence

…CHAPTER 7 – POPULATION-BASED PROBABILISTIC MUSCULOSKELETAL MODELING… …Methods with Musculoskeletal Modeling Probabilistic methods use input distributions to quantify… …interdependencies of the knee, hip and spine with probabilistic musculoskeletal modeling. These objectives… …92 6.9.2: Probabilistic Musculoskeletal Simulation… …132 APPENDIX – THE OPENSIM PROBABILISTIC PLUGIN: AN INTRODUCTORY GUIDE TO ASSESS UNCERTAINTY… 

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APA (6th Edition):

Myers, C. A. (2015). Probabilistic Musculoskeletal Simulation Methods to Address Intersegmental Dependencies of the Knee, Hip, and Spine. (Doctoral Dissertation). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/467

Chicago Manual of Style (16th Edition):

Myers, Casey A. “Probabilistic Musculoskeletal Simulation Methods to Address Intersegmental Dependencies of the Knee, Hip, and Spine.” 2015. Doctoral Dissertation, U of Denver. Accessed October 21, 2019. https://digitalcommons.du.edu/etd/467.

MLA Handbook (7th Edition):

Myers, Casey A. “Probabilistic Musculoskeletal Simulation Methods to Address Intersegmental Dependencies of the Knee, Hip, and Spine.” 2015. Web. 21 Oct 2019.

Vancouver:

Myers CA. Probabilistic Musculoskeletal Simulation Methods to Address Intersegmental Dependencies of the Knee, Hip, and Spine. [Internet] [Doctoral dissertation]. U of Denver; 2015. [cited 2019 Oct 21]. Available from: https://digitalcommons.du.edu/etd/467.

Council of Science Editors:

Myers CA. Probabilistic Musculoskeletal Simulation Methods to Address Intersegmental Dependencies of the Knee, Hip, and Spine. [Doctoral Dissertation]. U of Denver; 2015. Available from: https://digitalcommons.du.edu/etd/467

21. Skoumas, Georgios. Geo - spatial knowledge in user - generated data: mining, modeling and applications.

Degree: 2016, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

With the proliferation of the Internet as the primary medium for data publishing and information exchange, we have seen an explosion in the amount of… (more)

Subjects/Keywords: Εξόρυξη γεοχωρικών δεδομένων; Πιθανοτική μοντελοποίηση γεοχωρικής πληροφορίας; Εντοπισμός θέσης αντικειμένου; Mining geospatial knowledge; Probabilistic modeling of geospatial knowledge; Location estimation

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APA (6th Edition):

Skoumas, G. (2016). Geo - spatial knowledge in user - generated data: mining, modeling and applications. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/37644

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Skoumas, Georgios. “Geo - spatial knowledge in user - generated data: mining, modeling and applications.” 2016. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed October 21, 2019. http://hdl.handle.net/10442/hedi/37644.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Skoumas, Georgios. “Geo - spatial knowledge in user - generated data: mining, modeling and applications.” 2016. Web. 21 Oct 2019.

Vancouver:

Skoumas G. Geo - spatial knowledge in user - generated data: mining, modeling and applications. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2016. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10442/hedi/37644.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Skoumas G. Geo - spatial knowledge in user - generated data: mining, modeling and applications. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2016. Available from: http://hdl.handle.net/10442/hedi/37644

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Carnegie Mellon University

22. Schell, Kristen R. Computational Models for Renewable Energy Target Achievement & Policy Analysis.

Degree: 2016, Carnegie Mellon University

 To date, over 84% of countries worldwide have renewable energy targets (RET), requiring that a certain amount of electricity be produced from renewable sources by… (more)

Subjects/Keywords: Renewable Energy Target (RET); generation expansion planning; probabilistic cost estimation; subsea power cables; complementarity modeling; equilibrium problem

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APA (6th Edition):

Schell, K. R. (2016). Computational Models for Renewable Energy Target Achievement & Policy Analysis. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/735

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Schell, Kristen R. “Computational Models for Renewable Energy Target Achievement & Policy Analysis.” 2016. Thesis, Carnegie Mellon University. Accessed October 21, 2019. http://repository.cmu.edu/dissertations/735.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Schell, Kristen R. “Computational Models for Renewable Energy Target Achievement & Policy Analysis.” 2016. Web. 21 Oct 2019.

Vancouver:

Schell KR. Computational Models for Renewable Energy Target Achievement & Policy Analysis. [Internet] [Thesis]. Carnegie Mellon University; 2016. [cited 2019 Oct 21]. Available from: http://repository.cmu.edu/dissertations/735.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schell KR. Computational Models for Renewable Energy Target Achievement & Policy Analysis. [Thesis]. Carnegie Mellon University; 2016. Available from: http://repository.cmu.edu/dissertations/735

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

23. Knoester, H. Probabilistic lifetime prediction with application to high-performance p-aramid fiber .

Degree: 2017, Vrije Universiteit Amsterdam

Subjects/Keywords: probabilistic; mathematical modeling; fibers; time-to-failure; Weibull

Page 1

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APA (6th Edition):

Knoester, H. (2017). Probabilistic lifetime prediction with application to high-performance p-aramid fiber . (Doctoral Dissertation). Vrije Universiteit Amsterdam. Retrieved from http://hdl.handle.net/1871/55339

Chicago Manual of Style (16th Edition):

Knoester, H. “Probabilistic lifetime prediction with application to high-performance p-aramid fiber .” 2017. Doctoral Dissertation, Vrije Universiteit Amsterdam. Accessed October 21, 2019. http://hdl.handle.net/1871/55339.

MLA Handbook (7th Edition):

Knoester, H. “Probabilistic lifetime prediction with application to high-performance p-aramid fiber .” 2017. Web. 21 Oct 2019.

Vancouver:

Knoester H. Probabilistic lifetime prediction with application to high-performance p-aramid fiber . [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2017. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1871/55339.

Council of Science Editors:

Knoester H. Probabilistic lifetime prediction with application to high-performance p-aramid fiber . [Doctoral Dissertation]. Vrije Universiteit Amsterdam; 2017. Available from: http://hdl.handle.net/1871/55339


Iowa State University

24. Chen, Yetian. Structure Discovery in Bayesian Networks: Algorithms and Applications.

Degree: 2016, Iowa State University

 Bayesian networks are a class of probabilistic graphical models that have been widely used in various tasks for probabilistic inference and causal modeling. A Bayesian… (more)

Subjects/Keywords: Bayesian networks; parallel algorithms; prerequisite graphs; probabilistic graphical models; structure discovery; student modeling; Artificial Intelligence and Robotics; Computer Sciences

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APA (6th Edition):

Chen, Y. (2016). Structure Discovery in Bayesian Networks: Algorithms and Applications. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/15678

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Yetian. “Structure Discovery in Bayesian Networks: Algorithms and Applications.” 2016. Thesis, Iowa State University. Accessed October 21, 2019. https://lib.dr.iastate.edu/etd/15678.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Yetian. “Structure Discovery in Bayesian Networks: Algorithms and Applications.” 2016. Web. 21 Oct 2019.

Vancouver:

Chen Y. Structure Discovery in Bayesian Networks: Algorithms and Applications. [Internet] [Thesis]. Iowa State University; 2016. [cited 2019 Oct 21]. Available from: https://lib.dr.iastate.edu/etd/15678.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen Y. Structure Discovery in Bayesian Networks: Algorithms and Applications. [Thesis]. Iowa State University; 2016. Available from: https://lib.dr.iastate.edu/etd/15678

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

25. Knoester, H. Probabilistic lifetime prediction with application to high-performance p-aramid fiber.

Degree: Faculty of Sciences, 2017, NARCIS

Subjects/Keywords: probabilistic; mathematical modeling; fibers; time-to-failure; Weibull

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APA (6th Edition):

Knoester, H. (2017). Probabilistic lifetime prediction with application to high-performance p-aramid fiber. (Doctoral Dissertation). NARCIS. Retrieved from https://research.vu.nl/en/publications/cd3ca22d-84b0-4534-a733-2eb76e0d6c86 ; urn:nbn:nl:ui:31-1871/55339 ; cd3ca22d-84b0-4534-a733-2eb76e0d6c86 ; 1871/55339 ; urn:nbn:nl:ui:31-1871/55339 ; https://research.vu.nl/en/publications/cd3ca22d-84b0-4534-a733-2eb76e0d6c86

Chicago Manual of Style (16th Edition):

Knoester, H. “Probabilistic lifetime prediction with application to high-performance p-aramid fiber.” 2017. Doctoral Dissertation, NARCIS. Accessed October 21, 2019. https://research.vu.nl/en/publications/cd3ca22d-84b0-4534-a733-2eb76e0d6c86 ; urn:nbn:nl:ui:31-1871/55339 ; cd3ca22d-84b0-4534-a733-2eb76e0d6c86 ; 1871/55339 ; urn:nbn:nl:ui:31-1871/55339 ; https://research.vu.nl/en/publications/cd3ca22d-84b0-4534-a733-2eb76e0d6c86.

MLA Handbook (7th Edition):

Knoester, H. “Probabilistic lifetime prediction with application to high-performance p-aramid fiber.” 2017. Web. 21 Oct 2019.

Vancouver:

Knoester H. Probabilistic lifetime prediction with application to high-performance p-aramid fiber. [Internet] [Doctoral dissertation]. NARCIS; 2017. [cited 2019 Oct 21]. Available from: https://research.vu.nl/en/publications/cd3ca22d-84b0-4534-a733-2eb76e0d6c86 ; urn:nbn:nl:ui:31-1871/55339 ; cd3ca22d-84b0-4534-a733-2eb76e0d6c86 ; 1871/55339 ; urn:nbn:nl:ui:31-1871/55339 ; https://research.vu.nl/en/publications/cd3ca22d-84b0-4534-a733-2eb76e0d6c86.

Council of Science Editors:

Knoester H. Probabilistic lifetime prediction with application to high-performance p-aramid fiber. [Doctoral Dissertation]. NARCIS; 2017. Available from: https://research.vu.nl/en/publications/cd3ca22d-84b0-4534-a733-2eb76e0d6c86 ; urn:nbn:nl:ui:31-1871/55339 ; cd3ca22d-84b0-4534-a733-2eb76e0d6c86 ; 1871/55339 ; urn:nbn:nl:ui:31-1871/55339 ; https://research.vu.nl/en/publications/cd3ca22d-84b0-4534-a733-2eb76e0d6c86


Cornell University

26. Li, Peipei. Illuminating the mechanisms that control the fatigue performance of additively manufactured Ti-6Al-4V .

Degree: 2018, Cornell University

 This dissertation composes three papers detailing work intended to examine the mechanisms that control the failure of additively manufactured (AM) metallic materials. All studies aim… (more)

Subjects/Keywords: Civil engineering; Additive Manufacturing; Powder Bed Fusion; Probabilistic Fatigue Model; Process-Structure-Performance; Thermal Modeling; Ti-6Al-4V

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APA (6th Edition):

Li, P. (2018). Illuminating the mechanisms that control the fatigue performance of additively manufactured Ti-6Al-4V . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/64915

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Peipei. “Illuminating the mechanisms that control the fatigue performance of additively manufactured Ti-6Al-4V .” 2018. Thesis, Cornell University. Accessed October 21, 2019. http://hdl.handle.net/1813/64915.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Peipei. “Illuminating the mechanisms that control the fatigue performance of additively manufactured Ti-6Al-4V .” 2018. Web. 21 Oct 2019.

Vancouver:

Li P. Illuminating the mechanisms that control the fatigue performance of additively manufactured Ti-6Al-4V . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1813/64915.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li P. Illuminating the mechanisms that control the fatigue performance of additively manufactured Ti-6Al-4V . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/64915

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Colorado

27. Peterson, Daniel Wyde. Probabilistic Modeling of Verbnet Clusters.

Degree: PhD, 2019, University of Colorado

  The objective of this research is to build automated models that emulate VerbNet, a semantic resource for English verbs. VerbNet has been built and… (more)

Subjects/Keywords: computational semantics; machine learning; natural language processing; probabilistic clustering; semantic resources; topic modeling; Computer Sciences; Linguistics

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APA (6th Edition):

Peterson, D. W. (2019). Probabilistic Modeling of Verbnet Clusters. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/200

Chicago Manual of Style (16th Edition):

Peterson, Daniel Wyde. “Probabilistic Modeling of Verbnet Clusters.” 2019. Doctoral Dissertation, University of Colorado. Accessed October 21, 2019. https://scholar.colorado.edu/csci_gradetds/200.

MLA Handbook (7th Edition):

Peterson, Daniel Wyde. “Probabilistic Modeling of Verbnet Clusters.” 2019. Web. 21 Oct 2019.

Vancouver:

Peterson DW. Probabilistic Modeling of Verbnet Clusters. [Internet] [Doctoral dissertation]. University of Colorado; 2019. [cited 2019 Oct 21]. Available from: https://scholar.colorado.edu/csci_gradetds/200.

Council of Science Editors:

Peterson DW. Probabilistic Modeling of Verbnet Clusters. [Doctoral Dissertation]. University of Colorado; 2019. Available from: https://scholar.colorado.edu/csci_gradetds/200


Purdue University

28. Ganguly, Samiran. Spintronic device modeling and evaluation using modular approach to spintronics.

Degree: PhD, Electrical and Computer Engineering, 2016, Purdue University

  Spintronics technology finds itself in an exciting stage today. Riding on the backs of rapid growth and impressive advances in materials and phenomena, it… (more)

Subjects/Keywords: Applied sciences; Probabilistic logic; Spin logic; Spin transfer torque mram; Spin-circuit modeling; Spintronic oscillators; Spintronics

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

APA (6th Edition):

Ganguly, S. (2016). Spintronic device modeling and evaluation using modular approach to spintronics. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/924

Chicago Manual of Style (16th Edition):

Ganguly, Samiran. “Spintronic device modeling and evaluation using modular approach to spintronics.” 2016. Doctoral Dissertation, Purdue University. Accessed October 21, 2019. https://docs.lib.purdue.edu/open_access_dissertations/924.

MLA Handbook (7th Edition):

Ganguly, Samiran. “Spintronic device modeling and evaluation using modular approach to spintronics.” 2016. Web. 21 Oct 2019.

Vancouver:

Ganguly S. Spintronic device modeling and evaluation using modular approach to spintronics. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2019 Oct 21]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/924.

Council of Science Editors:

Ganguly S. Spintronic device modeling and evaluation using modular approach to spintronics. [Doctoral Dissertation]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_dissertations/924


KTH

29. Katsikeas, Sotirios. vehicleLang: a probabilistic modeling and simulation language for vehicular cyber attacks.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

The technological advancements in the automotive industry as well as in thefield of communication technologies done the last years have transformed thevehicles to complex… (more)

Subjects/Keywords: Domain Specific Language; Probabilistic Modeling; Cyber Security; Threat Modeling; Attack Graphs; Vehicular Security; Domänspecifikt språk; Probabilistisk modellering; Cybersäkerhet; Hotmodellering; Attackgrafer; Fordonsäkerhet; Engineering and Technology; Teknik och teknologier

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

APA (6th Edition):

Katsikeas, S. (2018). vehicleLang: a probabilistic modeling and simulation language for vehicular cyber attacks. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232182

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Katsikeas, Sotirios. “vehicleLang: a probabilistic modeling and simulation language for vehicular cyber attacks.” 2018. Thesis, KTH. Accessed October 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232182.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Katsikeas, Sotirios. “vehicleLang: a probabilistic modeling and simulation language for vehicular cyber attacks.” 2018. Web. 21 Oct 2019.

Vancouver:

Katsikeas S. vehicleLang: a probabilistic modeling and simulation language for vehicular cyber attacks. [Internet] [Thesis]. KTH; 2018. [cited 2019 Oct 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232182.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Katsikeas S. vehicleLang: a probabilistic modeling and simulation language for vehicular cyber attacks. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232182

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Makhlouf, Heba. Essais virtuels pour l'industrie du meuble : Virtual tests for the furniture industry.

Degree: Docteur es, Mécanique, 2015, Université Paris-Est

Le travail s’inscrit dans le cadre d’une collaboration entre le Pôle Ameublement FCBA et le Laboratoire MSME de l’UPEM. L’objectif était de mettre au point… (more)

Subjects/Keywords: Eléments finis; Assemblage multi-Matériaux; Modélisation multi-Échelle; Modélisation probabiliste; Comportements non linéaires; Cao; Fem; Multi-Material assemblies; Multi-Scale modeling; Probabilistic modeling; Non-Linear behavior; Cad

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

APA (6th Edition):

Makhlouf, H. (2015). Essais virtuels pour l'industrie du meuble : Virtual tests for the furniture industry. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2015PESC1164

Chicago Manual of Style (16th Edition):

Makhlouf, Heba. “Essais virtuels pour l'industrie du meuble : Virtual tests for the furniture industry.” 2015. Doctoral Dissertation, Université Paris-Est. Accessed October 21, 2019. http://www.theses.fr/2015PESC1164.

MLA Handbook (7th Edition):

Makhlouf, Heba. “Essais virtuels pour l'industrie du meuble : Virtual tests for the furniture industry.” 2015. Web. 21 Oct 2019.

Vancouver:

Makhlouf H. Essais virtuels pour l'industrie du meuble : Virtual tests for the furniture industry. [Internet] [Doctoral dissertation]. Université Paris-Est; 2015. [cited 2019 Oct 21]. Available from: http://www.theses.fr/2015PESC1164.

Council of Science Editors:

Makhlouf H. Essais virtuels pour l'industrie du meuble : Virtual tests for the furniture industry. [Doctoral Dissertation]. Université Paris-Est; 2015. Available from: http://www.theses.fr/2015PESC1164

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