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You searched for subject:(Probabilistic modeling). Showing records 1 – 30 of 79 total matches.

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1. Restrepo, Maria Isabel. Characterization of Probabilistic Volumetric Models for 3-d Computer Vision.

Degree: PhD, Electrical Science and Computer Engineering, 2013, Brown University

 Automated estimation of the geometry and appearance of surfaces from aerial imagery is an active research topic with applications in computer vision, remote sensing, robotics… (more)

Subjects/Keywords: probabilistic volumetric modeling

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APA (6th Edition):

Restrepo, M. I. (2013). Characterization of Probabilistic Volumetric Models for 3-d Computer Vision. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:320582/

Chicago Manual of Style (16th Edition):

Restrepo, Maria Isabel. “Characterization of Probabilistic Volumetric Models for 3-d Computer Vision.” 2013. Doctoral Dissertation, Brown University. Accessed October 13, 2019. https://repository.library.brown.edu/studio/item/bdr:320582/.

MLA Handbook (7th Edition):

Restrepo, Maria Isabel. “Characterization of Probabilistic Volumetric Models for 3-d Computer Vision.” 2013. Web. 13 Oct 2019.

Vancouver:

Restrepo MI. Characterization of Probabilistic Volumetric Models for 3-d Computer Vision. [Internet] [Doctoral dissertation]. Brown University; 2013. [cited 2019 Oct 13]. Available from: https://repository.library.brown.edu/studio/item/bdr:320582/.

Council of Science Editors:

Restrepo MI. Characterization of Probabilistic Volumetric Models for 3-d Computer Vision. [Doctoral Dissertation]. Brown University; 2013. Available from: https://repository.library.brown.edu/studio/item/bdr:320582/


San Jose State University

2. Mendoza, Morgan K. Modeling Particle Transport Distances as a Function of Slope and Surface Roughness.

Degree: MS, Geology, 2010, San Jose State University

  Significant effort has been put into modeling the evolution of hillslope profiles through time. The models use a continuum approach and are commonly deterministic.… (more)

Subjects/Keywords: discrete; hillslope; modeling; probabilistic; roughness; slope

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APA (6th Edition):

Mendoza, M. K. (2010). Modeling Particle Transport Distances as a Function of Slope and Surface Roughness. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.c69u-w67p ; https://scholarworks.sjsu.edu/etd_theses/3820

Chicago Manual of Style (16th Edition):

Mendoza, Morgan K. “Modeling Particle Transport Distances as a Function of Slope and Surface Roughness.” 2010. Masters Thesis, San Jose State University. Accessed October 13, 2019. https://doi.org/10.31979/etd.c69u-w67p ; https://scholarworks.sjsu.edu/etd_theses/3820.

MLA Handbook (7th Edition):

Mendoza, Morgan K. “Modeling Particle Transport Distances as a Function of Slope and Surface Roughness.” 2010. Web. 13 Oct 2019.

Vancouver:

Mendoza MK. Modeling Particle Transport Distances as a Function of Slope and Surface Roughness. [Internet] [Masters thesis]. San Jose State University; 2010. [cited 2019 Oct 13]. Available from: https://doi.org/10.31979/etd.c69u-w67p ; https://scholarworks.sjsu.edu/etd_theses/3820.

Council of Science Editors:

Mendoza MK. Modeling Particle Transport Distances as a Function of Slope and Surface Roughness. [Masters Thesis]. San Jose State University; 2010. Available from: https://doi.org/10.31979/etd.c69u-w67p ; https://scholarworks.sjsu.edu/etd_theses/3820


University of California – Irvine

3. 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 13, 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. 13 Oct 2019.

Vancouver:

Lichman M. Context-Based Smoothing for Personlized Prediction Models. [Internet] [Thesis]. University of California – Irvine; 2017. [cited 2019 Oct 13]. 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

4. 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 13, 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. 13 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 13]. 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

5. 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 13, 2019. http://hdl.handle.net/2142/100972.

MLA Handbook (7th Edition):

Subakan, Y Cem. “Generative modeling of sequential data.” 2018. Web. 13 Oct 2019.

Vancouver:

Subakan YC. Generative modeling of sequential data. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Oct 13]. 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


Texas A&M University

6. Zhang, Yanbei. Probabilistic Calibration of a Discrete Particle Model.

Degree: 2011, Texas A&M University

 A discrete element model (DEM) capable of reproducing the mechanistic behavior of a triaxial compressive test performed on a Vosges sandstone specimen is presented considering… (more)

Subjects/Keywords: Probabilistic calibration; discrete element modeling; triaxial test; failure mechanism; Vosges sandstone

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APA (6th Edition):

Zhang, Y. (2011). Probabilistic Calibration of a Discrete Particle Model. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8110

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, Yanbei. “Probabilistic Calibration of a Discrete Particle Model.” 2011. Thesis, Texas A&M University. Accessed October 13, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8110.

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

MLA Handbook (7th Edition):

Zhang, Yanbei. “Probabilistic Calibration of a Discrete Particle Model.” 2011. Web. 13 Oct 2019.

Vancouver:

Zhang Y. Probabilistic Calibration of a Discrete Particle Model. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8110.

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 Calibration of a Discrete Particle Model. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8110

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


University of California – Irvine

7. Navaroli, Nicholas Martin. Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior.

Degree: Computer Science, 2014, University of California – Irvine

 Our daily lives increasingly involve interactions with others via different communication channels, such as email, text messaging, and social media. In this context, the ability… (more)

Subjects/Keywords: Computer science; Artificial intelligence; Statistics; Email Processing; Machine Learning; Probabilistic Modeling

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APA (6th Edition):

Navaroli, N. M. (2014). Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/0jk934gp

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):

Navaroli, Nicholas Martin. “Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior.” 2014. Thesis, University of California – Irvine. Accessed October 13, 2019. http://www.escholarship.org/uc/item/0jk934gp.

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

MLA Handbook (7th Edition):

Navaroli, Nicholas Martin. “Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior.” 2014. Web. 13 Oct 2019.

Vancouver:

Navaroli NM. Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior. [Internet] [Thesis]. University of California – Irvine; 2014. [cited 2019 Oct 13]. Available from: http://www.escholarship.org/uc/item/0jk934gp.

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

Council of Science Editors:

Navaroli NM. Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior. [Thesis]. University of California – Irvine; 2014. Available from: http://www.escholarship.org/uc/item/0jk934gp

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


University of California – Irvine

8. 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 13, 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. 13 Oct 2019.

Vancouver:

Bache K. Machine Learning for the Sciences. [Internet] [Thesis]. University of California – Irvine; 2017. [cited 2019 Oct 13]. 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


Virginia Tech

9. Mahendiran, Aravindan. Automated Vocabulary Building for Characterizing and Forecasting Elections using Social Media Analytics.

Degree: MS, Computer Science, 2014, Virginia Tech

 Twitter has become a popular data source in the recent decade and garnered a significant amount of attention as a surrogate data source for many… (more)

Subjects/Keywords: Election Forecasting; Twitter; Query Expansion; Social Group Modeling; Probabilistic Soft Logic

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APA (6th Edition):

Mahendiran, A. (2014). Automated Vocabulary Building for Characterizing and Forecasting Elections using Social Media Analytics. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/25430

Chicago Manual of Style (16th Edition):

Mahendiran, Aravindan. “Automated Vocabulary Building for Characterizing and Forecasting Elections using Social Media Analytics.” 2014. Masters Thesis, Virginia Tech. Accessed October 13, 2019. http://hdl.handle.net/10919/25430.

MLA Handbook (7th Edition):

Mahendiran, Aravindan. “Automated Vocabulary Building for Characterizing and Forecasting Elections using Social Media Analytics.” 2014. Web. 13 Oct 2019.

Vancouver:

Mahendiran A. Automated Vocabulary Building for Characterizing and Forecasting Elections using Social Media Analytics. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/10919/25430.

Council of Science Editors:

Mahendiran A. Automated Vocabulary Building for Characterizing and Forecasting Elections using Social Media Analytics. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/25430


Texas A&M University

10. 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 13, 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. 13 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 13]. 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


George Mason University

11. Carvalho, Rommel Novaes. Probabilistic Ontology: Representation and Modeling Methodology .

Degree: 2011, George Mason University

 The past few years have witnessed an increasingly mature body of research on the Semantic Web (SW), with new standards being developed and more complex… (more)

Subjects/Keywords: Probabilistic Ontologies; Uncertainty Modeling Process; PR-OWL; MEBN; Methodology; Bayesian Network

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APA (6th Edition):

Carvalho, R. N. (2011). Probabilistic Ontology: Representation and Modeling Methodology . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/6616

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):

Carvalho, Rommel Novaes. “Probabilistic Ontology: Representation and Modeling Methodology .” 2011. Thesis, George Mason University. Accessed October 13, 2019. http://hdl.handle.net/1920/6616.

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

MLA Handbook (7th Edition):

Carvalho, Rommel Novaes. “Probabilistic Ontology: Representation and Modeling Methodology .” 2011. Web. 13 Oct 2019.

Vancouver:

Carvalho RN. Probabilistic Ontology: Representation and Modeling Methodology . [Internet] [Thesis]. George Mason University; 2011. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1920/6616.

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

Council of Science Editors:

Carvalho RN. Probabilistic Ontology: Representation and Modeling Methodology . [Thesis]. George Mason University; 2011. Available from: http://hdl.handle.net/1920/6616

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


University of Illinois – Urbana-Champaign

12. 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 13, 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. 13 Oct 2019.

Vancouver:

Zhang Y. Probabilistic generative modeling of speech. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Oct 13]. 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


University of Southern California

13. Li, Weixuan. Inverse modeling and uncertainty quantification of nonlinear flow in porous media models.

Degree: PhD, Civil Engineering, 2014, University of Southern California

 When using computer models to predict flow in porous media, it is necessary to set parameter values that correctly characterize the geological properties like permeability… (more)

Subjects/Keywords: flow in porous media; uncertainty quantification; nonlinear and probabilistic inverse modeling

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APA (6th Edition):

Li, W. (2014). Inverse modeling and uncertainty quantification of nonlinear flow in porous media models. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366536/rec/3613

Chicago Manual of Style (16th Edition):

Li, Weixuan. “Inverse modeling and uncertainty quantification of nonlinear flow in porous media models.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 13, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366536/rec/3613.

MLA Handbook (7th Edition):

Li, Weixuan. “Inverse modeling and uncertainty quantification of nonlinear flow in porous media models.” 2014. Web. 13 Oct 2019.

Vancouver:

Li W. Inverse modeling and uncertainty quantification of nonlinear flow in porous media models. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 13]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366536/rec/3613.

Council of Science Editors:

Li W. Inverse modeling and uncertainty quantification of nonlinear flow in porous media models. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366536/rec/3613


Colorado State University

14. 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 13, 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. 13 Oct 2019.

Vancouver:

Vollmer CT. Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2019 Oct 13]. 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


University of Arizona

15. Gabbur, Prasad. Machine Learning Methods for Microarray Data Analysis .

Degree: 2010, University of Arizona

 Microarrays emerged in the 1990s as a consequence of the efforts to speed up the process of drug discovery. They revolutionized molecular biological research by… (more)

Subjects/Keywords: Bayesian Inference; Gene Expression; Gene Ontology; Machine Learning; Microarray; Probabilistic Modeling

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APA (6th Edition):

Gabbur, P. (2010). Machine Learning Methods for Microarray Data Analysis . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/195829

Chicago Manual of Style (16th Edition):

Gabbur, Prasad. “Machine Learning Methods for Microarray Data Analysis .” 2010. Doctoral Dissertation, University of Arizona. Accessed October 13, 2019. http://hdl.handle.net/10150/195829.

MLA Handbook (7th Edition):

Gabbur, Prasad. “Machine Learning Methods for Microarray Data Analysis .” 2010. Web. 13 Oct 2019.

Vancouver:

Gabbur P. Machine Learning Methods for Microarray Data Analysis . [Internet] [Doctoral dissertation]. University of Arizona; 2010. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/10150/195829.

Council of Science Editors:

Gabbur P. Machine Learning Methods for Microarray Data Analysis . [Doctoral Dissertation]. University of Arizona; 2010. Available from: http://hdl.handle.net/10150/195829


University of Rochester

16. Orhan, A. Emin (1984 - ). Theoretical investigations in visual short-term memory: structured probabilistic representations, model mismatch and neural population coding.

Degree: PhD, 2013, University of Rochester

 Visual short-term memory (VSTM) makes a stable and coherent perception of the world possible by maintaining visual information about a scene as it was a… (more)

Subjects/Keywords: Bayesian modeling; Ecological validity; Natural scene statistics; Population coding; Probabilistic modeling; Visual short-term memory

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

APA (6th Edition):

Orhan, A. E. (. -. ). (2013). Theoretical investigations in visual short-term memory: structured probabilistic representations, model mismatch and neural population coding. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/27913

Chicago Manual of Style (16th Edition):

Orhan, A Emin (1984 - ). “Theoretical investigations in visual short-term memory: structured probabilistic representations, model mismatch and neural population coding.” 2013. Doctoral Dissertation, University of Rochester. Accessed October 13, 2019. http://hdl.handle.net/1802/27913.

MLA Handbook (7th Edition):

Orhan, A Emin (1984 - ). “Theoretical investigations in visual short-term memory: structured probabilistic representations, model mismatch and neural population coding.” 2013. Web. 13 Oct 2019.

Vancouver:

Orhan AE(-). Theoretical investigations in visual short-term memory: structured probabilistic representations, model mismatch and neural population coding. [Internet] [Doctoral dissertation]. University of Rochester; 2013. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1802/27913.

Council of Science Editors:

Orhan AE(-). Theoretical investigations in visual short-term memory: structured probabilistic representations, model mismatch and neural population coding. [Doctoral Dissertation]. University of Rochester; 2013. Available from: http://hdl.handle.net/1802/27913


Missouri University of Science and Technology

17. Wu, Chenglin Bob. A unified bond theory, probabilistic meso-scale modeling, and experimental validation of deformed steel rebar in normal strength concrete.

Degree: PhD, Civil Engineering, Missouri University of Science and Technology

  "Bond between deformed rebar and concrete is affected by rebar deformation pattern, concrete properties, concrete confinement, and rebar-concrete interfacial properties. Two distinct groups of… (more)

Subjects/Keywords: Probabilistic Modeling; Unified Theory; Civil Engineering

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

APA (6th Edition):

Wu, C. B. (n.d.). A unified bond theory, probabilistic meso-scale modeling, and experimental validation of deformed steel rebar in normal strength concrete. (Doctoral Dissertation). Missouri University of Science and Technology. Retrieved from http://scholarsmine.mst.edu/doctoral_dissertations/2118

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Wu, Chenglin Bob. “A unified bond theory, probabilistic meso-scale modeling, and experimental validation of deformed steel rebar in normal strength concrete.” Doctoral Dissertation, Missouri University of Science and Technology. Accessed October 13, 2019. http://scholarsmine.mst.edu/doctoral_dissertations/2118.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Wu, Chenglin Bob. “A unified bond theory, probabilistic meso-scale modeling, and experimental validation of deformed steel rebar in normal strength concrete.” Web. 13 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Wu CB. A unified bond theory, probabilistic meso-scale modeling, and experimental validation of deformed steel rebar in normal strength concrete. [Internet] [Doctoral dissertation]. Missouri University of Science and Technology; [cited 2019 Oct 13]. Available from: http://scholarsmine.mst.edu/doctoral_dissertations/2118.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Wu CB. A unified bond theory, probabilistic meso-scale modeling, and experimental validation of deformed steel rebar in normal strength concrete. [Doctoral Dissertation]. Missouri University of Science and Technology; Available from: http://scholarsmine.mst.edu/doctoral_dissertations/2118

Note: this citation may be lacking information needed for this citation format:
No year of publication.


Texas A&M University

18. 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 13, 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. 13 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 13]. 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


Carnegie Mellon University

19. Sun, Feng-Tso. Nonparametric Discovery of Human Behavior Patterns from Multimodal Data.

Degree: 2014, Carnegie Mellon University

 Recent advances in sensor technologies and the growing interest in context- aware applications, such as targeted advertising and location-based services, have led to a demand… (more)

Subjects/Keywords: Activity recognition; machine learning; topic modeling; nonparametric Bayesian; probabilistic graphical models; context-aware systems

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APA (6th Edition):

Sun, F. (2014). Nonparametric Discovery of Human Behavior Patterns from Multimodal Data. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/359

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):

Sun, Feng-Tso. “Nonparametric Discovery of Human Behavior Patterns from Multimodal Data.” 2014. Thesis, Carnegie Mellon University. Accessed October 13, 2019. http://repository.cmu.edu/dissertations/359.

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

MLA Handbook (7th Edition):

Sun, Feng-Tso. “Nonparametric Discovery of Human Behavior Patterns from Multimodal Data.” 2014. Web. 13 Oct 2019.

Vancouver:

Sun F. Nonparametric Discovery of Human Behavior Patterns from Multimodal Data. [Internet] [Thesis]. Carnegie Mellon University; 2014. [cited 2019 Oct 13]. Available from: http://repository.cmu.edu/dissertations/359.

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

Council of Science Editors:

Sun F. Nonparametric Discovery of Human Behavior Patterns from Multimodal Data. [Thesis]. Carnegie Mellon University; 2014. Available from: http://repository.cmu.edu/dissertations/359

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

20. 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 13, 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. 13 Oct 2019.

Vancouver:

Hultman J. Fast-Track Queueing Models for Emergency Rooms . [Internet] [Thesis]. California State University – San Marcos; 2015. [cited 2019 Oct 13]. 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 California – Berkeley

21. Culpepper, Benjamin Jackson. Learned Factorization Models to Explain Variability in Natural Image Sequences.

Degree: Computer Science, 2011, University of California – Berkeley

 Robust object recognition requires computational mechanisms that compensate for variability in the appearance of objects under natural viewing conditions. Yet, these have proven to be… (more)

Subjects/Keywords: Computer science; Image Dynamics; Image Modeling; Natural Images; Probabilistic Models; Statistics; Vision

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APA (6th Edition):

Culpepper, B. J. (2011). Learned Factorization Models to Explain Variability in Natural Image Sequences. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/07p3z33d

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):

Culpepper, Benjamin Jackson. “Learned Factorization Models to Explain Variability in Natural Image Sequences.” 2011. Thesis, University of California – Berkeley. Accessed October 13, 2019. http://www.escholarship.org/uc/item/07p3z33d.

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

MLA Handbook (7th Edition):

Culpepper, Benjamin Jackson. “Learned Factorization Models to Explain Variability in Natural Image Sequences.” 2011. Web. 13 Oct 2019.

Vancouver:

Culpepper BJ. Learned Factorization Models to Explain Variability in Natural Image Sequences. [Internet] [Thesis]. University of California – Berkeley; 2011. [cited 2019 Oct 13]. Available from: http://www.escholarship.org/uc/item/07p3z33d.

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

Council of Science Editors:

Culpepper BJ. Learned Factorization Models to Explain Variability in Natural Image Sequences. [Thesis]. University of California – Berkeley; 2011. Available from: http://www.escholarship.org/uc/item/07p3z33d

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


Duke University

22. Weber, Paul William. Probabilistic Modeling of Decompression Sickness, Comparative Hydrodynamics of Cetacean Flippers, Optimization of CT/MRI Protocols and Evaluation of Modified Angiocatheters: Engineering Methods Applied to a Diverse Assemblage of Projects .

Degree: 2010, Duke University

  The intent of the work discussed in this dissertation is to apply the engineering methods of theory/modeling, numerics/computation, and experimentation to a diverse assemblage… (more)

Subjects/Keywords: Engineering, Mechanical; angiocatheter; cetacean; computational fluid dynamics; decompression sickness; hydrodynamics; probabilistic modeling

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APA (6th Edition):

Weber, P. W. (2010). Probabilistic Modeling of Decompression Sickness, Comparative Hydrodynamics of Cetacean Flippers, Optimization of CT/MRI Protocols and Evaluation of Modified Angiocatheters: Engineering Methods Applied to a Diverse Assemblage of Projects . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/3017

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):

Weber, Paul William. “Probabilistic Modeling of Decompression Sickness, Comparative Hydrodynamics of Cetacean Flippers, Optimization of CT/MRI Protocols and Evaluation of Modified Angiocatheters: Engineering Methods Applied to a Diverse Assemblage of Projects .” 2010. Thesis, Duke University. Accessed October 13, 2019. http://hdl.handle.net/10161/3017.

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

MLA Handbook (7th Edition):

Weber, Paul William. “Probabilistic Modeling of Decompression Sickness, Comparative Hydrodynamics of Cetacean Flippers, Optimization of CT/MRI Protocols and Evaluation of Modified Angiocatheters: Engineering Methods Applied to a Diverse Assemblage of Projects .” 2010. Web. 13 Oct 2019.

Vancouver:

Weber PW. Probabilistic Modeling of Decompression Sickness, Comparative Hydrodynamics of Cetacean Flippers, Optimization of CT/MRI Protocols and Evaluation of Modified Angiocatheters: Engineering Methods Applied to a Diverse Assemblage of Projects . [Internet] [Thesis]. Duke University; 2010. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/10161/3017.

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

Council of Science Editors:

Weber PW. Probabilistic Modeling of Decompression Sickness, Comparative Hydrodynamics of Cetacean Flippers, Optimization of CT/MRI Protocols and Evaluation of Modified Angiocatheters: Engineering Methods Applied to a Diverse Assemblage of Projects . [Thesis]. Duke University; 2010. Available from: http://hdl.handle.net/10161/3017

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


Clemson University

23. Hassanzadehshirazi, Seyed masood. PROPAGATION OF UNCERTAINTY IN LIGHT-FRAME WOOD BUILDINGS.

Degree: PhD, Civil Engineering, 2012, Clemson University

 Light-frame wood construction is the most common form of construction for residential and low-rise commercial buildings (e.g. hotels and motels) in North America. In these… (more)

Subjects/Keywords: aleatoric uncertainty; numerical modeling; probabilistic model; seismic; Shear walls; Wood structures; Engineering

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

APA (6th Edition):

Hassanzadehshirazi, S. m. (2012). PROPAGATION OF UNCERTAINTY IN LIGHT-FRAME WOOD BUILDINGS. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1008

Chicago Manual of Style (16th Edition):

Hassanzadehshirazi, Seyed masood. “PROPAGATION OF UNCERTAINTY IN LIGHT-FRAME WOOD BUILDINGS.” 2012. Doctoral Dissertation, Clemson University. Accessed October 13, 2019. https://tigerprints.clemson.edu/all_dissertations/1008.

MLA Handbook (7th Edition):

Hassanzadehshirazi, Seyed masood. “PROPAGATION OF UNCERTAINTY IN LIGHT-FRAME WOOD BUILDINGS.” 2012. Web. 13 Oct 2019.

Vancouver:

Hassanzadehshirazi Sm. PROPAGATION OF UNCERTAINTY IN LIGHT-FRAME WOOD BUILDINGS. [Internet] [Doctoral dissertation]. Clemson University; 2012. [cited 2019 Oct 13]. Available from: https://tigerprints.clemson.edu/all_dissertations/1008.

Council of Science Editors:

Hassanzadehshirazi Sm. PROPAGATION OF UNCERTAINTY IN LIGHT-FRAME WOOD BUILDINGS. [Doctoral Dissertation]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_dissertations/1008


University of Cincinnati

24. 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 13, 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. 13 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 13]. 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


University of California – Santa Cruz

25. 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 (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 13, 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. 13 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 13]. 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


George Mason University

26. Angulo, Marc Anthony. Dynamic Models for Metal Flows .

Degree: 2011, George Mason University

 Metal flow analysis, a discipline in industrial ecology, describes the manner in which metals propagate throughout a coupled ecological and industrial system. The current models… (more)

Subjects/Keywords: Metal Flow Analysis; Sustainablity Threshold; Compartmental Modeling; Parameter Optimization; Deterministic and Probabilistic Models

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

APA (6th Edition):

Angulo, M. A. (2011). Dynamic Models for Metal Flows . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/6582

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):

Angulo, Marc Anthony. “Dynamic Models for Metal Flows .” 2011. Thesis, George Mason University. Accessed October 13, 2019. http://hdl.handle.net/1920/6582.

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

MLA Handbook (7th Edition):

Angulo, Marc Anthony. “Dynamic Models for Metal Flows .” 2011. Web. 13 Oct 2019.

Vancouver:

Angulo MA. Dynamic Models for Metal Flows . [Internet] [Thesis]. George Mason University; 2011. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1920/6582.

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

Council of Science Editors:

Angulo MA. Dynamic Models for Metal Flows . [Thesis]. George Mason University; 2011. Available from: http://hdl.handle.net/1920/6582

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


Penn State University

27. 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 13, 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. 13 Oct 2019.

Vancouver:

Srikrishnan V. Markov-Switching Models for Probabilistic Solar Resource Assessment and Forecasting. [Internet] [Thesis]. Penn State University; 2018. [cited 2019 Oct 13]. 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


Northeastern University

28. Yan, Yan. Learning from imperfect and related labels.

Degree: PhD, Department of Electrical and Computer Engineering, 2012, Northeastern University

 Supervised Learning means there is a teacher providing labels or target information given data samples, and the goal is to predict the labels of new… (more)

Subjects/Keywords: Crowdsouring; Multi-Label; Multiple Annotator; Probabilistic Modeling; Supervised Learning; Computer and Systems Architecture; Computer Engineering

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APA (6th Edition):

Yan, Y. (2012). Learning from imperfect and related labels. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/d20002938

Chicago Manual of Style (16th Edition):

Yan, Yan. “Learning from imperfect and related labels.” 2012. Doctoral Dissertation, Northeastern University. Accessed October 13, 2019. http://hdl.handle.net/2047/d20002938.

MLA Handbook (7th Edition):

Yan, Yan. “Learning from imperfect and related labels.” 2012. Web. 13 Oct 2019.

Vancouver:

Yan Y. Learning from imperfect and related labels. [Internet] [Doctoral dissertation]. Northeastern University; 2012. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2047/d20002938.

Council of Science Editors:

Yan Y. Learning from imperfect and related labels. [Doctoral Dissertation]. Northeastern University; 2012. Available from: http://hdl.handle.net/2047/d20002938


University of Minnesota

29. 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 13, 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. 13 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 13]. 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


University of Illinois – Urbana-Champaign

30. He, Xin. Computational Models of Function and Evolution of cis-Regulatory Sequences.

Degree: PhD, 0112, 2010, University of Illinois – Urbana-Champaign

 Gene expression is controlled by regulatory DNA sequences, often called cis-regulatory modules or CRMs in higher organisms. Even though complete genomes are available in many… (more)

Subjects/Keywords: cis-regulatory modules; transcription factor binding sites; comparative genomics; probabilistic modeling; sequence evolution; thermodynamic modeling; segmentation

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

APA (6th Edition):

He, X. (2010). Computational Models of Function and Evolution of cis-Regulatory Sequences. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14601

Chicago Manual of Style (16th Edition):

He, Xin. “Computational Models of Function and Evolution of cis-Regulatory Sequences.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 13, 2019. http://hdl.handle.net/2142/14601.

MLA Handbook (7th Edition):

He, Xin. “Computational Models of Function and Evolution of cis-Regulatory Sequences.” 2010. Web. 13 Oct 2019.

Vancouver:

He X. Computational Models of Function and Evolution of cis-Regulatory Sequences. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2142/14601.

Council of Science Editors:

He X. Computational Models of Function and Evolution of cis-Regulatory Sequences. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14601

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