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Degree: PhD

You searched for subject:(Probabilistic modeling). Showing records 1 – 30 of 42 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 18, 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. 18 Oct 2019.

Vancouver:

Restrepo MI. Characterization of Probabilistic Volumetric Models for 3-d Computer Vision. [Internet] [Doctoral dissertation]. Brown University; 2013. [cited 2019 Oct 18]. 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/


University of Illinois – Urbana-Champaign

2. 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 18, 2019. http://hdl.handle.net/2142/100972.

MLA Handbook (7th Edition):

Subakan, Y Cem. “Generative modeling of sequential data.” 2018. Web. 18 Oct 2019.

Vancouver:

Subakan YC. Generative modeling of sequential data. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Oct 18]. 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 Oxford

3. 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 18, 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. 18 Oct 2019.

Vancouver:

Rainforth TWG. Automating inference, learning, and design using probabilistic programming. [Internet] [Doctoral dissertation]. University of Oxford; 2017. [cited 2019 Oct 18]. 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

4. 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 18, 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. 18 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 18]. 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


University of Southern California

5. 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 18, 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. 18 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 18]. 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

6. 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 18, 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. 18 Oct 2019.

Vancouver:

Vollmer CT. Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2019 Oct 18]. 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 Rochester

7. 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 (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 18, 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. 18 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 18]. 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

8. 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 (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 18, 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. 18 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 18]. 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.


Clemson University

9. 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 (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 18, 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. 18 Oct 2019.

Vancouver:

Hassanzadehshirazi Sm. PROPAGATION OF UNCERTAINTY IN LIGHT-FRAME WOOD BUILDINGS. [Internet] [Doctoral dissertation]. Clemson University; 2012. [cited 2019 Oct 18]. 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

10. 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 18, 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. 18 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 18]. 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


Northeastern University

11. 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 18, 2019. http://hdl.handle.net/2047/d20002938.

MLA Handbook (7th Edition):

Yan, Yan. “Learning from imperfect and related labels.” 2012. Web. 18 Oct 2019.

Vancouver:

Yan Y. Learning from imperfect and related labels. [Internet] [Doctoral dissertation]. Northeastern University; 2012. [cited 2019 Oct 18]. 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

12. 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 18, 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. 18 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 18]. 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

13. 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 (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 18, 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. 18 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 18]. 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


University of Florida

14. Todor, Andrei. Probabilistic Biological Network and Their Applications.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2014, University of Florida

 In this thesis I present some pioneering work on probabilistic biological network, as well as future directions on this topic. Biological networks are an important… (more)

Subjects/Keywords: Aggregation; Bioinformatics; Datasets; Leukemia; Payment protection insurance; Polynomials; Probabilistic modeling; Random variables; Separators; Topology; alignment  – biological  – connectivity  – degree  – distribution  – networks  – probabilistic  – reachability

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APA (6th Edition):

Todor, A. (2014). Probabilistic Biological Network and Their Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047416

Chicago Manual of Style (16th Edition):

Todor, Andrei. “Probabilistic Biological Network and Their Applications.” 2014. Doctoral Dissertation, University of Florida. Accessed October 18, 2019. http://ufdc.ufl.edu/UFE0047416.

MLA Handbook (7th Edition):

Todor, Andrei. “Probabilistic Biological Network and Their Applications.” 2014. Web. 18 Oct 2019.

Vancouver:

Todor A. Probabilistic Biological Network and Their Applications. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Oct 18]. Available from: http://ufdc.ufl.edu/UFE0047416.

Council of Science Editors:

Todor A. Probabilistic Biological Network and Their Applications. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047416

15. 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 18, 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. 18 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 18]. 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


University of Alberta

16. Zarnani, Ashkan. Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods.

Degree: PhD, Department of Electrical and Computer Engineering, 2014, University of Alberta

 Weather forecasting is one of the most vital tasks in many applications ranging from severe weather hazard systems to energy production. Numerical weather prediction (NWP)… (more)

Subjects/Keywords: Interval Forecast; Data clustering; Prediction Interval; Quantile Regression; Time series analysis; Numerical Weather Prediction; Statistical post-processing; Probabilistic forecast; Uncertainty Modeling

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

APA (6th Edition):

Zarnani, A. (2014). Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/6t053h668

Chicago Manual of Style (16th Edition):

Zarnani, Ashkan. “Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods.” 2014. Doctoral Dissertation, University of Alberta. Accessed October 18, 2019. https://era.library.ualberta.ca/files/6t053h668.

MLA Handbook (7th Edition):

Zarnani, Ashkan. “Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods.” 2014. Web. 18 Oct 2019.

Vancouver:

Zarnani A. Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods. [Internet] [Doctoral dissertation]. University of Alberta; 2014. [cited 2019 Oct 18]. Available from: https://era.library.ualberta.ca/files/6t053h668.

Council of Science Editors:

Zarnani A. Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods. [Doctoral Dissertation]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/6t053h668


The Ohio State University

17. Park, Kyoung Jin. Generating Thematic Maps from Hyperspectral Imagery Using a Bag-of-Materials Model.

Degree: PhD, Geodetic Science and Surveying, 2013, The Ohio State University

 Obtaining information about Earth’s surfaces and generating a land cover map is essential to remote sensing research. For that purpose, identifying and classifying the characteristics… (more)

Subjects/Keywords: Remote Sensing; Computer Engineering; Computer Science; Geographic Information Science; Hyperspectral image clustering; probabilistic topic modeling; generative model; latent dirichlet allocation

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APA (6th Edition):

Park, K. J. (2013). Generating Thematic Maps from Hyperspectral Imagery Using a Bag-of-Materials Model. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1366296426

Chicago Manual of Style (16th Edition):

Park, Kyoung Jin. “Generating Thematic Maps from Hyperspectral Imagery Using a Bag-of-Materials Model.” 2013. Doctoral Dissertation, The Ohio State University. Accessed October 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366296426.

MLA Handbook (7th Edition):

Park, Kyoung Jin. “Generating Thematic Maps from Hyperspectral Imagery Using a Bag-of-Materials Model.” 2013. Web. 18 Oct 2019.

Vancouver:

Park KJ. Generating Thematic Maps from Hyperspectral Imagery Using a Bag-of-Materials Model. [Internet] [Doctoral dissertation]. The Ohio State University; 2013. [cited 2019 Oct 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1366296426.

Council of Science Editors:

Park KJ. Generating Thematic Maps from Hyperspectral Imagery Using a Bag-of-Materials Model. [Doctoral Dissertation]. The Ohio State University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1366296426


University of Illinois – Urbana-Champaign

18. Mei, Qiaozhu. Contextual text mining.

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

 With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text.… (more)

Subjects/Keywords: contextual text mining; contextual topic analysis; Language Modeling; probabilistic topic models; context analysis; graph-based regularization

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APA (6th Edition):

Mei, Q. (2010). Contextual text mining. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14707

Chicago Manual of Style (16th Edition):

Mei, Qiaozhu. “Contextual text mining.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 18, 2019. http://hdl.handle.net/2142/14707.

MLA Handbook (7th Edition):

Mei, Qiaozhu. “Contextual text mining.” 2010. Web. 18 Oct 2019.

Vancouver:

Mei Q. Contextual text mining. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/2142/14707.

Council of Science Editors:

Mei Q. Contextual text mining. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14707


University of Florida

19. Chen, Lixia. Statistical Approximations of Database Queries with Confidence Intervals.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2011, University of Florida

 Explosive data growth in databases presents challenges of fast query processing. Computation of exact values of complex queries over large databases can take a long… (more)

Subjects/Keywords: Aggregation; Approximation; Confidence interval; Databases; Error rates; Estimators; Histograms; Probabilistic modeling; Random variables; Statistical discrepancies; aggregation  – approximation  – databases  – prababilistic  – statistical

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

APA (6th Edition):

Chen, L. (2011). Statistical Approximations of Database Queries with Confidence Intervals. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043509

Chicago Manual of Style (16th Edition):

Chen, Lixia. “Statistical Approximations of Database Queries with Confidence Intervals.” 2011. Doctoral Dissertation, University of Florida. Accessed October 18, 2019. http://ufdc.ufl.edu/UFE0043509.

MLA Handbook (7th Edition):

Chen, Lixia. “Statistical Approximations of Database Queries with Confidence Intervals.” 2011. Web. 18 Oct 2019.

Vancouver:

Chen L. Statistical Approximations of Database Queries with Confidence Intervals. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Oct 18]. Available from: http://ufdc.ufl.edu/UFE0043509.

Council of Science Editors:

Chen L. Statistical Approximations of Database Queries with Confidence Intervals. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043509


Northeastern University

20. Orhan, Umut. RSVP keyboard: an EEG based BCI typing system with context information fusion.

Degree: PhD, Department of Electrical and Computer Engineering, 2013, Northeastern University

 Worldwide, there are millions of people with severe motor and speech impairment, which prohibits them from participating in daily functional activities such as personal care.… (more)

Subjects/Keywords: Brain Computer Interfaces; Electroencephalography; Event Related Potentials; Language Modeling; Probabilistic Information Fusion; Biomedical devices and instrumentation; Biomedical Engineering and Bioengineering

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APA (6th Edition):

Orhan, U. (2013). RSVP keyboard: an EEG based BCI typing system with context information fusion. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/d20004866

Chicago Manual of Style (16th Edition):

Orhan, Umut. “RSVP keyboard: an EEG based BCI typing system with context information fusion.” 2013. Doctoral Dissertation, Northeastern University. Accessed October 18, 2019. http://hdl.handle.net/2047/d20004866.

MLA Handbook (7th Edition):

Orhan, Umut. “RSVP keyboard: an EEG based BCI typing system with context information fusion.” 2013. Web. 18 Oct 2019.

Vancouver:

Orhan U. RSVP keyboard: an EEG based BCI typing system with context information fusion. [Internet] [Doctoral dissertation]. Northeastern University; 2013. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/2047/d20004866.

Council of Science Editors:

Orhan U. RSVP keyboard: an EEG based BCI typing system with context information fusion. [Doctoral Dissertation]. Northeastern University; 2013. Available from: http://hdl.handle.net/2047/d20004866


University of Colorado

21. 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 18, 2019. https://scholar.colorado.edu/csci_gradetds/200.

MLA Handbook (7th Edition):

Peterson, Daniel Wyde. “Probabilistic Modeling of Verbnet Clusters.” 2019. Web. 18 Oct 2019.

Vancouver:

Peterson DW. Probabilistic Modeling of Verbnet Clusters. [Internet] [Doctoral dissertation]. University of Colorado; 2019. [cited 2019 Oct 18]. 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

22. 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 (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 18, 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. 18 Oct 2019.

Vancouver:

Ganguly S. Spintronic device modeling and evaluation using modular approach to spintronics. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2019 Oct 18]. 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


University of Illinois – Urbana-Champaign

23. Geigle, Chase Aaron. Towards high quality, scalable education: Techniques in automated assessment and probabilistic user behavior modeling.

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

 There are two primary challenges for instructors in offering a high-quality course at large scale. The first is scaling educational experiences to such a large… (more)

Subjects/Keywords: automated assessment; autograding; virtual lab; data science lab; user behavior modeling; probabilistic user behavior modeling; two-layer hidden Markov models; Dirichlet-multinomial mixture model

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APA (6th Edition):

Geigle, C. A. (2018). Towards high quality, scalable education: Techniques in automated assessment and probabilistic user behavior modeling. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/102458

Chicago Manual of Style (16th Edition):

Geigle, Chase Aaron. “Towards high quality, scalable education: Techniques in automated assessment and probabilistic user behavior modeling.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 18, 2019. http://hdl.handle.net/2142/102458.

MLA Handbook (7th Edition):

Geigle, Chase Aaron. “Towards high quality, scalable education: Techniques in automated assessment and probabilistic user behavior modeling.” 2018. Web. 18 Oct 2019.

Vancouver:

Geigle CA. Towards high quality, scalable education: Techniques in automated assessment and probabilistic user behavior modeling. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/2142/102458.

Council of Science Editors:

Geigle CA. Towards high quality, scalable education: Techniques in automated assessment and probabilistic user behavior modeling. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/102458


University of Florida

24. Lhee, Sang. Artificial Neural Network Model to Predict Financial Contingency for Transportation Construction Projects.

Degree: PhD, Design, Construction, and Planning Doctorate - Design, Construction, and Planning, 2009, University of Florida

 Construction projects involve many uncertainties and risks in all phases. As a result, all types of construction projects, including transportation projects, have historically experienced significant… (more)

Subjects/Keywords: Contingency fees; Cost estimates; Database models; Job performance evaluation; Modeling; Neural networks; Neurons; Performance enhancing substances; Probabilistic modeling; Student evaluation of teacher performance

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APA (6th Edition):

Lhee, S. (2009). Artificial Neural Network Model to Predict Financial Contingency for Transportation Construction Projects. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041093

Chicago Manual of Style (16th Edition):

Lhee, Sang. “Artificial Neural Network Model to Predict Financial Contingency for Transportation Construction Projects.” 2009. Doctoral Dissertation, University of Florida. Accessed October 18, 2019. http://ufdc.ufl.edu/UFE0041093.

MLA Handbook (7th Edition):

Lhee, Sang. “Artificial Neural Network Model to Predict Financial Contingency for Transportation Construction Projects.” 2009. Web. 18 Oct 2019.

Vancouver:

Lhee S. Artificial Neural Network Model to Predict Financial Contingency for Transportation Construction Projects. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Oct 18]. Available from: http://ufdc.ufl.edu/UFE0041093.

Council of Science Editors:

Lhee S. Artificial Neural Network Model to Predict Financial Contingency for Transportation Construction Projects. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0041093

25. Trepode, Nestor Walter. Modelagem do controle gênico do ciclo celular por redes genéticas probabilísticas.

Degree: PhD, Bioinformática, 2007, University of São Paulo

O ciclo de divisão celular compreende uma seqüência de fenômenos controlados por una complexa rede de regulação gênica muito estável e robusta. Aplicamos as Redes… (more)

Subjects/Keywords: cell-cycle control; controle do ciclo celular; dinamical system; gene regulation networks; modelagem; modeling; probabilistic genetic networks; redes de regulação gênica; redes genéticas probabilísticas; simulação; simulation; sistema dinâmico

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APA (6th Edition):

Trepode, N. W. (2007). Modelagem do controle gênico do ciclo celular por redes genéticas probabilísticas. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/95/95131/tde-14122007-130518/ ;

Chicago Manual of Style (16th Edition):

Trepode, Nestor Walter. “Modelagem do controle gênico do ciclo celular por redes genéticas probabilísticas.” 2007. Doctoral Dissertation, University of São Paulo. Accessed October 18, 2019. http://www.teses.usp.br/teses/disponiveis/95/95131/tde-14122007-130518/ ;.

MLA Handbook (7th Edition):

Trepode, Nestor Walter. “Modelagem do controle gênico do ciclo celular por redes genéticas probabilísticas.” 2007. Web. 18 Oct 2019.

Vancouver:

Trepode NW. Modelagem do controle gênico do ciclo celular por redes genéticas probabilísticas. [Internet] [Doctoral dissertation]. University of São Paulo; 2007. [cited 2019 Oct 18]. Available from: http://www.teses.usp.br/teses/disponiveis/95/95131/tde-14122007-130518/ ;.

Council of Science Editors:

Trepode NW. Modelagem do controle gênico do ciclo celular por redes genéticas probabilísticas. [Doctoral Dissertation]. University of São Paulo; 2007. Available from: http://www.teses.usp.br/teses/disponiveis/95/95131/tde-14122007-130518/ ;

26. Kunz, Jacob Andrew. Probabilistic modeling of microgrinding wheel topography.

Degree: PhD, Mechanical Engineering, 2013, Georgia Tech

 This work addresses the advanced probabilistic modeling of the stochastic nature of microgrinding in the machining of high-aspect ratio, ceramic micro-features. The heightened sensitivity of… (more)

Subjects/Keywords: Grinding; Microgrinding; Probabilistic modeling; Microelectromechanical systems; Microtechnology; Grinding wheels

…222 xvii SUMMARY This work addresses the advanced probabilistic modeling of the… …measurement and (a) numerical simulation model and (b) probabilistic model… …the developed probabilistic models… …drives a need for improved stochastic modeling. Statistical propagation is used to generate a… …comprehensive analytic probabilistic model for static wheel topography. Numerical simulation and… 

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APA (6th Edition):

Kunz, J. A. (2013). Probabilistic modeling of microgrinding wheel topography. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49118

Chicago Manual of Style (16th Edition):

Kunz, Jacob Andrew. “Probabilistic modeling of microgrinding wheel topography.” 2013. Doctoral Dissertation, Georgia Tech. Accessed October 18, 2019. http://hdl.handle.net/1853/49118.

MLA Handbook (7th Edition):

Kunz, Jacob Andrew. “Probabilistic modeling of microgrinding wheel topography.” 2013. Web. 18 Oct 2019.

Vancouver:

Kunz JA. Probabilistic modeling of microgrinding wheel topography. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1853/49118.

Council of Science Editors:

Kunz JA. Probabilistic modeling of microgrinding wheel topography. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/49118


University of Southern California

27. Kang, Jeon-Hyung. Modeling social and cognitive aspects of user behavior in social media.

Degree: PhD, Computer Science, 2015, University of Southern California

 The spread of information in an online social network is a complex process that depends on the nature of information, the structure of the network,… (more)

Subjects/Keywords: probabilistic models; recommendation system; modeling information adoption; understanding information diffusion; user behavior; social media; social network; role of network structure; user effort

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APA (6th Edition):

Kang, J. (2015). Modeling social and cognitive aspects of user behavior in social media. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603277/rec/4142

Chicago Manual of Style (16th Edition):

Kang, Jeon-Hyung. “Modeling social and cognitive aspects of user behavior in social media.” 2015. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603277/rec/4142.

MLA Handbook (7th Edition):

Kang, Jeon-Hyung. “Modeling social and cognitive aspects of user behavior in social media.” 2015. Web. 18 Oct 2019.

Vancouver:

Kang J. Modeling social and cognitive aspects of user behavior in social media. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603277/rec/4142.

Council of Science Editors:

Kang J. Modeling social and cognitive aspects of user behavior in social media. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603277/rec/4142


University of Florida

28. Park, Chanyoung. Probabilistic Structural Design Effects of Multi-Stage Testing and Multiple Failure Modes.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2013, University of Florida

 Traditional probabilistic design methods are in the lack of capability in representing practical design processes. In practice, design of complex engineering system is based on… (more)

Subjects/Keywords: Buckling; Coupons; Cumulative distribution functions; Error rates; Failure modes; Mathematical independent variables; Modeling; Standard deviation; System reliability; Uncertainty; design  – failure  – mode  – multi-stage  – multiple  – probabilistic  – testing

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APA (6th Edition):

Park, C. (2013). Probabilistic Structural Design Effects of Multi-Stage Testing and Multiple Failure Modes. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046279

Chicago Manual of Style (16th Edition):

Park, Chanyoung. “Probabilistic Structural Design Effects of Multi-Stage Testing and Multiple Failure Modes.” 2013. Doctoral Dissertation, University of Florida. Accessed October 18, 2019. http://ufdc.ufl.edu/UFE0046279.

MLA Handbook (7th Edition):

Park, Chanyoung. “Probabilistic Structural Design Effects of Multi-Stage Testing and Multiple Failure Modes.” 2013. Web. 18 Oct 2019.

Vancouver:

Park C. Probabilistic Structural Design Effects of Multi-Stage Testing and Multiple Failure Modes. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Oct 18]. Available from: http://ufdc.ufl.edu/UFE0046279.

Council of Science Editors:

Park C. Probabilistic Structural Design Effects of Multi-Stage Testing and Multiple Failure Modes. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0046279

29. Zhou, Xiaofeng. Statistical Modeling to Information Retrieval for Searching from Big Text Data and Higher Order Inference for Reliability.

Degree: PhD, Mathematics & Statistics, 2015, York University

 This thesis examined two research projects: probabilistic information retrieval modeling and third-order inference on reliability. In the first part of this dissertation, two research topics… (more)

Subjects/Keywords: Information technology; Statistics; Mathematics; Reliability; Information retrieval; Probabilistic IR; BM25; Document length; Survival modeling; Diversity; Re-rank; Biomedical IR; Thesaurus; Aspect; Term proximity; Third-order inference

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APA (6th Edition):

Zhou, X. (2015). Statistical Modeling to Information Retrieval for Searching from Big Text Data and Higher Order Inference for Reliability. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/28237

Chicago Manual of Style (16th Edition):

Zhou, Xiaofeng. “Statistical Modeling to Information Retrieval for Searching from Big Text Data and Higher Order Inference for Reliability.” 2015. Doctoral Dissertation, York University. Accessed October 18, 2019. http://hdl.handle.net/10315/28237.

MLA Handbook (7th Edition):

Zhou, Xiaofeng. “Statistical Modeling to Information Retrieval for Searching from Big Text Data and Higher Order Inference for Reliability.” 2015. Web. 18 Oct 2019.

Vancouver:

Zhou X. Statistical Modeling to Information Retrieval for Searching from Big Text Data and Higher Order Inference for Reliability. [Internet] [Doctoral dissertation]. York University; 2015. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10315/28237.

Council of Science Editors:

Zhou X. Statistical Modeling to Information Retrieval for Searching from Big Text Data and Higher Order Inference for Reliability. [Doctoral Dissertation]. York University; 2015. Available from: http://hdl.handle.net/10315/28237


University of Notre Dame

30. Juan Camilo Medina. Optimization under Uncertainty: Adaptive Variance Reduction, Adaptive Metamodeling, and Investigation of Robustness Measures</h1>.

Degree: PhD, Aerospace and Mechanical Engineering, 2014, University of Notre Dame

  This dissertation offers computational and theoretical advances for optimization under uncertainty problems that utilize a probabilistic framework for addressing such uncertainties, and adopt a… (more)

Subjects/Keywords: prediction error; model-based design; stochastic simulation; optimization under uncertainty; kriging; robust design; relative entropy; importance sampling; surrogate modeling; topology optimization; probabilistic sensitivity; RDO

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APA (6th Edition):

Medina, J. C. (2014). Optimization under Uncertainty: Adaptive Variance Reduction, Adaptive Metamodeling, and Investigation of Robustness Measures</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/xw42n586h8q

Chicago Manual of Style (16th Edition):

Medina, Juan Camilo. “Optimization under Uncertainty: Adaptive Variance Reduction, Adaptive Metamodeling, and Investigation of Robustness Measures</h1>.” 2014. Doctoral Dissertation, University of Notre Dame. Accessed October 18, 2019. https://curate.nd.edu/show/xw42n586h8q.

MLA Handbook (7th Edition):

Medina, Juan Camilo. “Optimization under Uncertainty: Adaptive Variance Reduction, Adaptive Metamodeling, and Investigation of Robustness Measures</h1>.” 2014. Web. 18 Oct 2019.

Vancouver:

Medina JC. Optimization under Uncertainty: Adaptive Variance Reduction, Adaptive Metamodeling, and Investigation of Robustness Measures</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2014. [cited 2019 Oct 18]. Available from: https://curate.nd.edu/show/xw42n586h8q.

Council of Science Editors:

Medina JC. Optimization under Uncertainty: Adaptive Variance Reduction, Adaptive Metamodeling, and Investigation of Robustness Measures</h1>. [Doctoral Dissertation]. University of Notre Dame; 2014. Available from: https://curate.nd.edu/show/xw42n586h8q

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