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You searched for subject:(Graphical Models). Showing records 1 – 30 of 235 total matches.

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1. Pacheco, Jason L. Variational Approximations with Diverse Applications.

Degree: PhD, Computer Science, 2016, Brown University

 We develop a family of algorithms for statistical inference in models of high dimensional continuous random variables. Our approach builds on existing variational methods, which… (more)

Subjects/Keywords: graphical models

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APA (6th Edition):

Pacheco, J. L. (2016). Variational Approximations with Diverse Applications. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:674262/

Chicago Manual of Style (16th Edition):

Pacheco, Jason L. “Variational Approximations with Diverse Applications.” 2016. Doctoral Dissertation, Brown University. Accessed March 20, 2019. https://repository.library.brown.edu/studio/item/bdr:674262/.

MLA Handbook (7th Edition):

Pacheco, Jason L. “Variational Approximations with Diverse Applications.” 2016. Web. 20 Mar 2019.

Vancouver:

Pacheco JL. Variational Approximations with Diverse Applications. [Internet] [Doctoral dissertation]. Brown University; 2016. [cited 2019 Mar 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:674262/.

Council of Science Editors:

Pacheco JL. Variational Approximations with Diverse Applications. [Doctoral Dissertation]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:674262/

2. Buchanan, David W. Edge Replacement as a Model of Causal Reasoning.

Degree: PhD, Cognitive Sciences, 2011, Brown University

 The last two decades in Cognitive Science have seen the productive application of Causal Graphical Models (Pearl, 2000; Spirtes, Glymour & Scheines, 1993) to theories… (more)

Subjects/Keywords: causal graphical models

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APA (6th Edition):

Buchanan, D. W. (2011). Edge Replacement as a Model of Causal Reasoning. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:11424/

Chicago Manual of Style (16th Edition):

Buchanan, David W. “Edge Replacement as a Model of Causal Reasoning.” 2011. Doctoral Dissertation, Brown University. Accessed March 20, 2019. https://repository.library.brown.edu/studio/item/bdr:11424/.

MLA Handbook (7th Edition):

Buchanan, David W. “Edge Replacement as a Model of Causal Reasoning.” 2011. Web. 20 Mar 2019.

Vancouver:

Buchanan DW. Edge Replacement as a Model of Causal Reasoning. [Internet] [Doctoral dissertation]. Brown University; 2011. [cited 2019 Mar 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:11424/.

Council of Science Editors:

Buchanan DW. Edge Replacement as a Model of Causal Reasoning. [Doctoral Dissertation]. Brown University; 2011. Available from: https://repository.library.brown.edu/studio/item/bdr:11424/


Cornell University

3. Tian, Yuan. A Parallel Implementation Of Hierarchical Belief Propagation .

Degree: 2013, Cornell University

 Though Belief Propagation (BP) algorithms generate high quality results for a wide range of Markov Random Field (MRF) formulated energy minimization problems, they require large… (more)

Subjects/Keywords: Belief Propagation; Graphical Models; Parallelism

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APA (6th Edition):

Tian, Y. (2013). A Parallel Implementation Of Hierarchical Belief Propagation . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/34099

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):

Tian, Yuan. “A Parallel Implementation Of Hierarchical Belief Propagation .” 2013. Thesis, Cornell University. Accessed March 20, 2019. http://hdl.handle.net/1813/34099.

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

MLA Handbook (7th Edition):

Tian, Yuan. “A Parallel Implementation Of Hierarchical Belief Propagation .” 2013. Web. 20 Mar 2019.

Vancouver:

Tian Y. A Parallel Implementation Of Hierarchical Belief Propagation . [Internet] [Thesis]. Cornell University; 2013. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1813/34099.

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

Council of Science Editors:

Tian Y. A Parallel Implementation Of Hierarchical Belief Propagation . [Thesis]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/34099

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


Georgia Tech

4. Shegheva, Snejana. A computational model for solving raven’s progressive matrices intelligence test.

Degree: MS, Computer Science, 2018, Georgia Tech

Graphical models offer techniques for capturing the structure of many problems in real- world domains and provide means for representation, interpretation, and inference. The modeling… (more)

Subjects/Keywords: Probabilistic graphical models; Machine learning

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APA (6th Edition):

Shegheva, S. (2018). A computational model for solving raven’s progressive matrices intelligence test. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60191

Chicago Manual of Style (16th Edition):

Shegheva, Snejana. “A computational model for solving raven’s progressive matrices intelligence test.” 2018. Masters Thesis, Georgia Tech. Accessed March 20, 2019. http://hdl.handle.net/1853/60191.

MLA Handbook (7th Edition):

Shegheva, Snejana. “A computational model for solving raven’s progressive matrices intelligence test.” 2018. Web. 20 Mar 2019.

Vancouver:

Shegheva S. A computational model for solving raven’s progressive matrices intelligence test. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1853/60191.

Council of Science Editors:

Shegheva S. A computational model for solving raven’s progressive matrices intelligence test. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60191


University of New Mexico

5. Oyen, Diane. Interactive Exploration of Multitask Dependency Networks.

Degree: Department of Computer Science, 2013, University of New Mexico

 Scientists increasingly depend on machine learning algorithms to discover patterns in complex data. Two examples addressed in this dissertation are identifying how information sharing among… (more)

Subjects/Keywords: machine learning; probabilistic graphical models

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APA (6th Edition):

Oyen, D. (2013). Interactive Exploration of Multitask Dependency Networks. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/23359

Chicago Manual of Style (16th Edition):

Oyen, Diane. “Interactive Exploration of Multitask Dependency Networks.” 2013. Doctoral Dissertation, University of New Mexico. Accessed March 20, 2019. http://hdl.handle.net/1928/23359.

MLA Handbook (7th Edition):

Oyen, Diane. “Interactive Exploration of Multitask Dependency Networks.” 2013. Web. 20 Mar 2019.

Vancouver:

Oyen D. Interactive Exploration of Multitask Dependency Networks. [Internet] [Doctoral dissertation]. University of New Mexico; 2013. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1928/23359.

Council of Science Editors:

Oyen D. Interactive Exploration of Multitask Dependency Networks. [Doctoral Dissertation]. University of New Mexico; 2013. Available from: http://hdl.handle.net/1928/23359


University of Rochester

6. Wei, Bin (1981 - ). Graphical models for heterogeneous transfer learning and co-reference resolution.

Degree: PhD, 2011, University of Rochester

 Traditional supervised machine learning requires labeled data for a specific problem of interest. There have been many attempts to reduce this requirement such as approaches… (more)

Subjects/Keywords: Graphical models; Transfer learning

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APA (6th Edition):

Wei, B. (. -. ). (2011). Graphical models for heterogeneous transfer learning and co-reference resolution. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/15216

Chicago Manual of Style (16th Edition):

Wei, Bin (1981 - ). “Graphical models for heterogeneous transfer learning and co-reference resolution.” 2011. Doctoral Dissertation, University of Rochester. Accessed March 20, 2019. http://hdl.handle.net/1802/15216.

MLA Handbook (7th Edition):

Wei, Bin (1981 - ). “Graphical models for heterogeneous transfer learning and co-reference resolution.” 2011. Web. 20 Mar 2019.

Vancouver:

Wei B(-). Graphical models for heterogeneous transfer learning and co-reference resolution. [Internet] [Doctoral dissertation]. University of Rochester; 2011. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1802/15216.

Council of Science Editors:

Wei B(-). Graphical models for heterogeneous transfer learning and co-reference resolution. [Doctoral Dissertation]. University of Rochester; 2011. Available from: http://hdl.handle.net/1802/15216


University of Utah

7. Liu, Wei. Resting state functional magnetic resonance imaging analysis by graphical model.

Degree: PhD, Computing (School of), 2014, University of Utah

 Functional magnetic resonance imaging (fMRI) measures the change of oxygen consumption level in the blood vessels of the human brain, hence indirectly detecting the neuronal… (more)

Subjects/Keywords: Brain connectivity; Functional MRI; Graphical models

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APA (6th Edition):

Liu, W. (2014). Resting state functional magnetic resonance imaging analysis by graphical model. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102

Chicago Manual of Style (16th Edition):

Liu, Wei. “Resting state functional magnetic resonance imaging analysis by graphical model.” 2014. Doctoral Dissertation, University of Utah. Accessed March 20, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102.

MLA Handbook (7th Edition):

Liu, Wei. “Resting state functional magnetic resonance imaging analysis by graphical model.” 2014. Web. 20 Mar 2019.

Vancouver:

Liu W. Resting state functional magnetic resonance imaging analysis by graphical model. [Internet] [Doctoral dissertation]. University of Utah; 2014. [cited 2019 Mar 20]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102.

Council of Science Editors:

Liu W. Resting state functional magnetic resonance imaging analysis by graphical model. [Doctoral Dissertation]. University of Utah; 2014. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102


University of British Columbia

8. Hamze, Firas. Monte Carlo integration in discrete undirected probabilistic models .

Degree: 2008, University of British Columbia

 This thesis contains the author’s work in and contributions to the field of Monte Carlo sampling for undirected graphical models, a class of statistical model… (more)

Subjects/Keywords: Graphical models; Monte Carlo inference; Bayesian inference

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APA (6th Edition):

Hamze, F. (2008). Monte Carlo integration in discrete undirected probabilistic models . (Thesis). University of British Columbia. Retrieved from http://hdl.handle.net/2429/744

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):

Hamze, Firas. “Monte Carlo integration in discrete undirected probabilistic models .” 2008. Thesis, University of British Columbia. Accessed March 20, 2019. http://hdl.handle.net/2429/744.

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

MLA Handbook (7th Edition):

Hamze, Firas. “Monte Carlo integration in discrete undirected probabilistic models .” 2008. Web. 20 Mar 2019.

Vancouver:

Hamze F. Monte Carlo integration in discrete undirected probabilistic models . [Internet] [Thesis]. University of British Columbia; 2008. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2429/744.

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

Council of Science Editors:

Hamze F. Monte Carlo integration in discrete undirected probabilistic models . [Thesis]. University of British Columbia; 2008. Available from: http://hdl.handle.net/2429/744

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


University of Adelaide

9. Webb, Michael Roy. New methodologies for modelling individual differences in cognition.

Degree: 2010, University of Adelaide

 Many evaluations of cognitive models rely on data that have been averaged or aggregated across all experimental subjects, and so fail to consider the possibility… (more)

Subjects/Keywords: cognitive models; individual differences; Bayesian graphical modelling

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APA (6th Edition):

Webb, M. R. (2010). New methodologies for modelling individual differences in cognition. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/62779

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):

Webb, Michael Roy. “New methodologies for modelling individual differences in cognition.” 2010. Thesis, University of Adelaide. Accessed March 20, 2019. http://hdl.handle.net/2440/62779.

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

MLA Handbook (7th Edition):

Webb, Michael Roy. “New methodologies for modelling individual differences in cognition.” 2010. Web. 20 Mar 2019.

Vancouver:

Webb MR. New methodologies for modelling individual differences in cognition. [Internet] [Thesis]. University of Adelaide; 2010. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2440/62779.

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

Council of Science Editors:

Webb MR. New methodologies for modelling individual differences in cognition. [Thesis]. University of Adelaide; 2010. Available from: http://hdl.handle.net/2440/62779

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

10. Tezcan, Hasan Gokhan. A Molecular Modeling Toolkit with Applications to Efficient Free Energy Computation.

Degree: MSin Electrical and Computer Engineering (M.S.E.C.E.), Electrical & Computer Engineering, 2010, U of Massachusetts : Masters

 In this thesis we develop a molecular modeling toolkit that models the conformation space of proteins and allows easy prototyping of algorithms on the conformation… (more)

Subjects/Keywords: proteins; free energy; conformation space; graphical models

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APA (6th Edition):

Tezcan, H. G. (2010). A Molecular Modeling Toolkit with Applications to Efficient Free Energy Computation. (Masters Thesis). U of Massachusetts : Masters. Retrieved from http://scholarworks.umass.edu/theses/482

Chicago Manual of Style (16th Edition):

Tezcan, Hasan Gokhan. “A Molecular Modeling Toolkit with Applications to Efficient Free Energy Computation.” 2010. Masters Thesis, U of Massachusetts : Masters. Accessed March 20, 2019. http://scholarworks.umass.edu/theses/482.

MLA Handbook (7th Edition):

Tezcan, Hasan Gokhan. “A Molecular Modeling Toolkit with Applications to Efficient Free Energy Computation.” 2010. Web. 20 Mar 2019.

Vancouver:

Tezcan HG. A Molecular Modeling Toolkit with Applications to Efficient Free Energy Computation. [Internet] [Masters thesis]. U of Massachusetts : Masters; 2010. [cited 2019 Mar 20]. Available from: http://scholarworks.umass.edu/theses/482.

Council of Science Editors:

Tezcan HG. A Molecular Modeling Toolkit with Applications to Efficient Free Energy Computation. [Masters Thesis]. U of Massachusetts : Masters; 2010. Available from: http://scholarworks.umass.edu/theses/482

11. Charbonnier, Camille. Inférence de réseaux de régulation génétique à partir de données du transcriptome non indépendamment et indentiquement distribuées : Inference of gene regulatory networks from non independently and identically distributed transcriptomic data.

Degree: Docteur es, Mathématiques appliquées, 2012, Evry-Val d'Essonne

Cette thèse étudie l'inférence de modèles graphiques Gaussiens en grande dimension à partir de données du transcriptome non indépendamment et identiquement distribuées dans l'objectif d'estimer… (more)

Subjects/Keywords: Modèles graphiques Gaussiens; Gaussian graphical models

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APA (6th Edition):

Charbonnier, C. (2012). Inférence de réseaux de régulation génétique à partir de données du transcriptome non indépendamment et indentiquement distribuées : Inference of gene regulatory networks from non independently and identically distributed transcriptomic data. (Doctoral Dissertation). Evry-Val d'Essonne. Retrieved from http://www.theses.fr/2012EVRY0022

Chicago Manual of Style (16th Edition):

Charbonnier, Camille. “Inférence de réseaux de régulation génétique à partir de données du transcriptome non indépendamment et indentiquement distribuées : Inference of gene regulatory networks from non independently and identically distributed transcriptomic data.” 2012. Doctoral Dissertation, Evry-Val d'Essonne. Accessed March 20, 2019. http://www.theses.fr/2012EVRY0022.

MLA Handbook (7th Edition):

Charbonnier, Camille. “Inférence de réseaux de régulation génétique à partir de données du transcriptome non indépendamment et indentiquement distribuées : Inference of gene regulatory networks from non independently and identically distributed transcriptomic data.” 2012. Web. 20 Mar 2019.

Vancouver:

Charbonnier C. Inférence de réseaux de régulation génétique à partir de données du transcriptome non indépendamment et indentiquement distribuées : Inference of gene regulatory networks from non independently and identically distributed transcriptomic data. [Internet] [Doctoral dissertation]. Evry-Val d'Essonne; 2012. [cited 2019 Mar 20]. Available from: http://www.theses.fr/2012EVRY0022.

Council of Science Editors:

Charbonnier C. Inférence de réseaux de régulation génétique à partir de données du transcriptome non indépendamment et indentiquement distribuées : Inference of gene regulatory networks from non independently and identically distributed transcriptomic data. [Doctoral Dissertation]. Evry-Val d'Essonne; 2012. Available from: http://www.theses.fr/2012EVRY0022


University of Minnesota

12. Zhu, Yunzhang. Grouping penalties and its applications to high-dimensional models.

Degree: PhD, Statistics, 2014, University of Minnesota

 Part I: In high-dimensional regression, grouping pursuit and feature selection have their own merits while complementing each other in battling the curse of dimensionality. To… (more)

Subjects/Keywords: Graphical models; Grouping penalty; High-dimensional statistics

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APA (6th Edition):

Zhu, Y. (2014). Grouping penalties and its applications to high-dimensional models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/165147

Chicago Manual of Style (16th Edition):

Zhu, Yunzhang. “Grouping penalties and its applications to high-dimensional models.” 2014. Doctoral Dissertation, University of Minnesota. Accessed March 20, 2019. http://hdl.handle.net/11299/165147.

MLA Handbook (7th Edition):

Zhu, Yunzhang. “Grouping penalties and its applications to high-dimensional models.” 2014. Web. 20 Mar 2019.

Vancouver:

Zhu Y. Grouping penalties and its applications to high-dimensional models. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/11299/165147.

Council of Science Editors:

Zhu Y. Grouping penalties and its applications to high-dimensional models. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/165147


Australian National University

13. Zhang, Xinhua. Graphical Models: Modeling, Optimization, and Hilbert Space Embedding .

Degree: 2010, Australian National University

 Over the past two decades graphical models have been widely used as a powerful tool for compactly representing distributions. On the other hand, kernel methods… (more)

Subjects/Keywords: Machine Learning; Graphical Models; Kernel Methods; Optimization

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APA (6th Edition):

Zhang, X. (2010). Graphical Models: Modeling, Optimization, and Hilbert Space Embedding . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/49340

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, Xinhua. “Graphical Models: Modeling, Optimization, and Hilbert Space Embedding .” 2010. Thesis, Australian National University. Accessed March 20, 2019. http://hdl.handle.net/1885/49340.

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

MLA Handbook (7th Edition):

Zhang, Xinhua. “Graphical Models: Modeling, Optimization, and Hilbert Space Embedding .” 2010. Web. 20 Mar 2019.

Vancouver:

Zhang X. Graphical Models: Modeling, Optimization, and Hilbert Space Embedding . [Internet] [Thesis]. Australian National University; 2010. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1885/49340.

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

Council of Science Editors:

Zhang X. Graphical Models: Modeling, Optimization, and Hilbert Space Embedding . [Thesis]. Australian National University; 2010. Available from: http://hdl.handle.net/1885/49340

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


Australian National University

14. Mohasel Afshar, Hadi. Probabilistic Inference in Piecewise Graphical Models .

Degree: 2016, Australian National University

 In many applications of probabilistic inference the models contain piecewise densities that are differentiable except at partition boundaries. For instance, (1) some models may intrinsically… (more)

Subjects/Keywords: Piecewise; Graphical models; probabilistic inference; MCMC; sampling

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APA (6th Edition):

Mohasel Afshar, H. (2016). Probabilistic Inference in Piecewise Graphical Models . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/107386

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):

Mohasel Afshar, Hadi. “Probabilistic Inference in Piecewise Graphical Models .” 2016. Thesis, Australian National University. Accessed March 20, 2019. http://hdl.handle.net/1885/107386.

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

MLA Handbook (7th Edition):

Mohasel Afshar, Hadi. “Probabilistic Inference in Piecewise Graphical Models .” 2016. Web. 20 Mar 2019.

Vancouver:

Mohasel Afshar H. Probabilistic Inference in Piecewise Graphical Models . [Internet] [Thesis]. Australian National University; 2016. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1885/107386.

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

Council of Science Editors:

Mohasel Afshar H. Probabilistic Inference in Piecewise Graphical Models . [Thesis]. Australian National University; 2016. Available from: http://hdl.handle.net/1885/107386

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


University of Rochester

15. Mahalanabis, Satyaki. Subset and sample selection for graphical models: Gaussian processes, Ising models and Gaussian mixture models.

Degree: PhD, 2012, University of Rochester

 Probabilistic Graphical Models are a popular method of representing complex joint distributions in which stochastic dependence between subsets of random variables is expressed in terms… (more)

Subjects/Keywords: Graphical models; Sample selection; Subset selection

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APA (6th Edition):

Mahalanabis, S. (2012). Subset and sample selection for graphical models: Gaussian processes, Ising models and Gaussian mixture models. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/25118

Chicago Manual of Style (16th Edition):

Mahalanabis, Satyaki. “Subset and sample selection for graphical models: Gaussian processes, Ising models and Gaussian mixture models.” 2012. Doctoral Dissertation, University of Rochester. Accessed March 20, 2019. http://hdl.handle.net/1802/25118.

MLA Handbook (7th Edition):

Mahalanabis, Satyaki. “Subset and sample selection for graphical models: Gaussian processes, Ising models and Gaussian mixture models.” 2012. Web. 20 Mar 2019.

Vancouver:

Mahalanabis S. Subset and sample selection for graphical models: Gaussian processes, Ising models and Gaussian mixture models. [Internet] [Doctoral dissertation]. University of Rochester; 2012. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1802/25118.

Council of Science Editors:

Mahalanabis S. Subset and sample selection for graphical models: Gaussian processes, Ising models and Gaussian mixture models. [Doctoral Dissertation]. University of Rochester; 2012. Available from: http://hdl.handle.net/1802/25118


Texas A&M University

16. Talluri, Rajesh. Bayesian Gaussian Graphical models using sparse selection priors and their mixtures.

Degree: 2012, Texas A&M University

 We propose Bayesian methods for estimating the precision matrix in Gaussian graphical models. The methods lead to sparse and adaptively shrunk estimators of the precision… (more)

Subjects/Keywords: Bayesian; Gaussian Graphical Models; Covariance Selection; Mixture Models

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APA (6th Edition):

Talluri, R. (2012). Bayesian Gaussian Graphical models using sparse selection priors and their mixtures. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9828

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):

Talluri, Rajesh. “Bayesian Gaussian Graphical models using sparse selection priors and their mixtures.” 2012. Thesis, Texas A&M University. Accessed March 20, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9828.

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

MLA Handbook (7th Edition):

Talluri, Rajesh. “Bayesian Gaussian Graphical models using sparse selection priors and their mixtures.” 2012. Web. 20 Mar 2019.

Vancouver:

Talluri R. Bayesian Gaussian Graphical models using sparse selection priors and their mixtures. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9828.

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

Council of Science Editors:

Talluri R. Bayesian Gaussian Graphical models using sparse selection priors and their mixtures. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9828

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


University of Texas – Austin

17. -4493-3358. Appropriate, accessible and appealing probabilistic graphical models.

Degree: Computer Sciences, 2017, University of Texas – Austin

 Appropriate - Many multivariate probabilistic models either use independent distributions or dependent Gaussian distributions. Yet, many real-world datasets contain count-valued or non-negative skewed data, e.g.… (more)

Subjects/Keywords: Graphical models; Topic models; Poisson; Count data; Visualization; Human computer interaction

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

APA (6th Edition):

-4493-3358. (2017). Appropriate, accessible and appealing probabilistic graphical models. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62986

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

Chicago Manual of Style (16th Edition):

-4493-3358. “Appropriate, accessible and appealing probabilistic graphical models.” 2017. Thesis, University of Texas – Austin. Accessed March 20, 2019. http://hdl.handle.net/2152/62986.

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

MLA Handbook (7th Edition):

-4493-3358. “Appropriate, accessible and appealing probabilistic graphical models.” 2017. Web. 20 Mar 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-4493-3358. Appropriate, accessible and appealing probabilistic graphical models. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2152/62986.

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

Council of Science Editors:

-4493-3358. Appropriate, accessible and appealing probabilistic graphical models. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62986

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


University of Oxford

18. Hitz, Adrien. Modelling of extremes.

Degree: PhD, 2016, University of Oxford

 This work focuses on statistical methods to understand how frequently rare events occur and what the magnitude of extreme values such as large losses is.… (more)

Subjects/Keywords: Extreme Value Theory; Extreme River Flows; Website Visits; Discrete Distributions; Asymptotic Graphical Models; Graphical Models; One Component Regular Variation; Asymptotic Conditional Independence; Generalized Zipf Distribution; Tree Graphical Models; Multivariate Regular Variation; Gaussian Graphical Models; Student Graphical Models; Censored Copula; Discrete Generalized Pareto Distribution; Discrete Pareto IV Distribution

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

APA (6th Edition):

Hitz, A. (2016). Modelling of extremes. (Doctoral Dissertation). University of Oxford. Retrieved from https://ora.ox.ac.uk/objects/uuid:ad32f298-b140-4aae-b50e-931259714085 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730173

Chicago Manual of Style (16th Edition):

Hitz, Adrien. “Modelling of extremes.” 2016. Doctoral Dissertation, University of Oxford. Accessed March 20, 2019. https://ora.ox.ac.uk/objects/uuid:ad32f298-b140-4aae-b50e-931259714085 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730173.

MLA Handbook (7th Edition):

Hitz, Adrien. “Modelling of extremes.” 2016. Web. 20 Mar 2019.

Vancouver:

Hitz A. Modelling of extremes. [Internet] [Doctoral dissertation]. University of Oxford; 2016. [cited 2019 Mar 20]. Available from: https://ora.ox.ac.uk/objects/uuid:ad32f298-b140-4aae-b50e-931259714085 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730173.

Council of Science Editors:

Hitz A. Modelling of extremes. [Doctoral Dissertation]. University of Oxford; 2016. Available from: https://ora.ox.ac.uk/objects/uuid:ad32f298-b140-4aae-b50e-931259714085 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730173


Penn State University

19. Butt, Asad Anwar. Multi-target Tracking Using Higher-order Motion Models.

Degree: PhD, Computer Science and Engineering, 2013, Penn State University

 Multi-target tracking is a significant and challenging problem. In its general form it is known to be NP-hard, and many approximate sub-optimal solution methods have… (more)

Subjects/Keywords: multi-target tracking; graphical models; higher-order models; motion models; min-cost network flow

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APA (6th Edition):

Butt, A. A. (2013). Multi-target Tracking Using Higher-order Motion Models. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/19121

Chicago Manual of Style (16th Edition):

Butt, Asad Anwar. “Multi-target Tracking Using Higher-order Motion Models.” 2013. Doctoral Dissertation, Penn State University. Accessed March 20, 2019. https://etda.libraries.psu.edu/catalog/19121.

MLA Handbook (7th Edition):

Butt, Asad Anwar. “Multi-target Tracking Using Higher-order Motion Models.” 2013. Web. 20 Mar 2019.

Vancouver:

Butt AA. Multi-target Tracking Using Higher-order Motion Models. [Internet] [Doctoral dissertation]. Penn State University; 2013. [cited 2019 Mar 20]. Available from: https://etda.libraries.psu.edu/catalog/19121.

Council of Science Editors:

Butt AA. Multi-target Tracking Using Higher-order Motion Models. [Doctoral Dissertation]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/19121

20. Belilovsky, Eugene. Apprentissage de graphes structuré et parcimonieux dans des données de haute dimension avec applications à l’imagerie cérébrale : Structured Sparse Learning on Graphs in High-Dimensional Data with Applications to NeuroImaging.

Degree: Docteur es, Traitement du signal et des images, 2018, Paris Saclay; Katholieke Universiteit Leuven

Cette thèse présente de nouvelles méthodes d’apprentissage structuré et parcimonieux sur les graphes, ce qui permet de résoudre une large variété de problèmes d’imagerie cérébrale,… (more)

Subjects/Keywords: Apprentissage statistique; Gaussian graphical models; Neuroimagerie; Apprentissage profond; Machine learning; Gaussian graphical models; Neuroimaging; Deep learning

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APA (6th Edition):

Belilovsky, E. (2018). Apprentissage de graphes structuré et parcimonieux dans des données de haute dimension avec applications à l’imagerie cérébrale : Structured Sparse Learning on Graphs in High-Dimensional Data with Applications to NeuroImaging. (Doctoral Dissertation). Paris Saclay; Katholieke Universiteit Leuven. Retrieved from http://www.theses.fr/2018SACLC027

Chicago Manual of Style (16th Edition):

Belilovsky, Eugene. “Apprentissage de graphes structuré et parcimonieux dans des données de haute dimension avec applications à l’imagerie cérébrale : Structured Sparse Learning on Graphs in High-Dimensional Data with Applications to NeuroImaging.” 2018. Doctoral Dissertation, Paris Saclay; Katholieke Universiteit Leuven. Accessed March 20, 2019. http://www.theses.fr/2018SACLC027.

MLA Handbook (7th Edition):

Belilovsky, Eugene. “Apprentissage de graphes structuré et parcimonieux dans des données de haute dimension avec applications à l’imagerie cérébrale : Structured Sparse Learning on Graphs in High-Dimensional Data with Applications to NeuroImaging.” 2018. Web. 20 Mar 2019.

Vancouver:

Belilovsky E. Apprentissage de graphes structuré et parcimonieux dans des données de haute dimension avec applications à l’imagerie cérébrale : Structured Sparse Learning on Graphs in High-Dimensional Data with Applications to NeuroImaging. [Internet] [Doctoral dissertation]. Paris Saclay; Katholieke Universiteit Leuven; 2018. [cited 2019 Mar 20]. Available from: http://www.theses.fr/2018SACLC027.

Council of Science Editors:

Belilovsky E. Apprentissage de graphes structuré et parcimonieux dans des données de haute dimension avec applications à l’imagerie cérébrale : Structured Sparse Learning on Graphs in High-Dimensional Data with Applications to NeuroImaging. [Doctoral Dissertation]. Paris Saclay; Katholieke Universiteit Leuven; 2018. Available from: http://www.theses.fr/2018SACLC027

21. Grzegorczyk, Marco. Comparative evaluation of different graphical models for the analysis of gene expression data.

Degree: 2006, Technische Universität Dortmund

 An important problem in systems biology is to infer the architecture of gene regulatory networks and biochemical pathways from postgenomic data. Various reverse engineering methods… (more)

Subjects/Keywords: Bayesian networks; Gene regulatory networks; Graphical Gaussian models; Relevance networks; 310

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APA (6th Edition):

Grzegorczyk, M. (2006). Comparative evaluation of different graphical models for the analysis of gene expression data. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/22855

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):

Grzegorczyk, Marco. “Comparative evaluation of different graphical models for the analysis of gene expression data.” 2006. Thesis, Technische Universität Dortmund. Accessed March 20, 2019. http://hdl.handle.net/2003/22855.

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

MLA Handbook (7th Edition):

Grzegorczyk, Marco. “Comparative evaluation of different graphical models for the analysis of gene expression data.” 2006. Web. 20 Mar 2019.

Vancouver:

Grzegorczyk M. Comparative evaluation of different graphical models for the analysis of gene expression data. [Internet] [Thesis]. Technische Universität Dortmund; 2006. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2003/22855.

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

Council of Science Editors:

Grzegorczyk M. Comparative evaluation of different graphical models for the analysis of gene expression data. [Thesis]. Technische Universität Dortmund; 2006. Available from: http://hdl.handle.net/2003/22855

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

22. Mauá, Denis Deratani. Algorithms and complexity results for discrete probabilistic reasoning tasks.

Degree: 2013, Università della Svizzera italiana

 Many solutions to problems in machine learning and artificial intelligence involve solving a combinatorial optimization problem over discrete variables whose functional dependence is conveniently represented… (more)

Subjects/Keywords: Probabilistic graphical models

…Maximum a posteriori inference 2.1 Graphical models and the MAP assignment problem . . . . 2.2… …problems we consider involves credal networks, which are graphical models whose numerical… …posteriori inference in discrete probabilistic graphical models (more precisely, in Bayesian… …inference problem in graphical models. The algorithm is carefully analyzed and is shown… …graphical models. The complexity analysis of the strategy selection problem in limited memory… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Mauá, D. D. (2013). Algorithms and complexity results for discrete probabilistic reasoning tasks. (Thesis). Università della Svizzera italiana. Retrieved from http://doc.rero.ch/record/203103

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):

Mauá, Denis Deratani. “Algorithms and complexity results for discrete probabilistic reasoning tasks.” 2013. Thesis, Università della Svizzera italiana. Accessed March 20, 2019. http://doc.rero.ch/record/203103.

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

MLA Handbook (7th Edition):

Mauá, Denis Deratani. “Algorithms and complexity results for discrete probabilistic reasoning tasks.” 2013. Web. 20 Mar 2019.

Vancouver:

Mauá DD. Algorithms and complexity results for discrete probabilistic reasoning tasks. [Internet] [Thesis]. Università della Svizzera italiana; 2013. [cited 2019 Mar 20]. Available from: http://doc.rero.ch/record/203103.

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

Council of Science Editors:

Mauá DD. Algorithms and complexity results for discrete probabilistic reasoning tasks. [Thesis]. Università della Svizzera italiana; 2013. Available from: http://doc.rero.ch/record/203103

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


Cornell University

23. Sinclair, David Giles. Model selection results for latent high-dimensional graphical models on binary and count data with applications to fMRI and Genomics .

Degree: 2017, Cornell University

 This dissertation explores the undirected graphical model framework. We explore applications of highly dependent binary data and count data in order to determine to determine… (more)

Subjects/Keywords: Statistics; fMRI; Graphical Models; Expectation Maximzation; Latent Network; miRNA; lasso

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APA (6th Edition):

Sinclair, D. G. (2017). Model selection results for latent high-dimensional graphical models on binary and count data with applications to fMRI and Genomics . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/56786

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):

Sinclair, David Giles. “Model selection results for latent high-dimensional graphical models on binary and count data with applications to fMRI and Genomics .” 2017. Thesis, Cornell University. Accessed March 20, 2019. http://hdl.handle.net/1813/56786.

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

MLA Handbook (7th Edition):

Sinclair, David Giles. “Model selection results for latent high-dimensional graphical models on binary and count data with applications to fMRI and Genomics .” 2017. Web. 20 Mar 2019.

Vancouver:

Sinclair DG. Model selection results for latent high-dimensional graphical models on binary and count data with applications to fMRI and Genomics . [Internet] [Thesis]. Cornell University; 2017. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1813/56786.

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

Council of Science Editors:

Sinclair DG. Model selection results for latent high-dimensional graphical models on binary and count data with applications to fMRI and Genomics . [Thesis]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/56786

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


RMIT University

24. Queiroz Batista da Silva, C. A holistic approach for measuring the survivability of SCADA systems.

Degree: 2012, RMIT University

 Supervisory Control and Data Acquisition (SCADA) systems are responsible for controlling and monitoring Industrial Control Systems (ICS) and Critical Infrastructure Systems (CIS) among others. Such… (more)

Subjects/Keywords: Fields of Research; SCADA; Survivability; Probabilistic Graphical Models; Security; Performance

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APA (6th Edition):

Queiroz Batista da Silva, C. (2012). A holistic approach for measuring the survivability of SCADA systems. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:160341

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):

Queiroz Batista da Silva, C. “A holistic approach for measuring the survivability of SCADA systems.” 2012. Thesis, RMIT University. Accessed March 20, 2019. http://researchbank.rmit.edu.au/view/rmit:160341.

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

MLA Handbook (7th Edition):

Queiroz Batista da Silva, C. “A holistic approach for measuring the survivability of SCADA systems.” 2012. Web. 20 Mar 2019.

Vancouver:

Queiroz Batista da Silva C. A holistic approach for measuring the survivability of SCADA systems. [Internet] [Thesis]. RMIT University; 2012. [cited 2019 Mar 20]. Available from: http://researchbank.rmit.edu.au/view/rmit:160341.

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

Council of Science Editors:

Queiroz Batista da Silva C. A holistic approach for measuring the survivability of SCADA systems. [Thesis]. RMIT University; 2012. Available from: http://researchbank.rmit.edu.au/view/rmit:160341

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


University of Toronto

25. Dhoot, Aditya. Wind Farm Layout Optimization Using Approximate Inference in Graphical Models.

Degree: 2016, University of Toronto

Wind farm layout optimization (WFLO) determines the optimal location of wind turbines within a fixed geographical area to maximize the total power capacity of the… (more)

Subjects/Keywords: approximate inference; probabilistic graphical models; wind farm design; 0796

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APA (6th Edition):

Dhoot, A. (2016). Wind Farm Layout Optimization Using Approximate Inference in Graphical Models. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/72692

Chicago Manual of Style (16th Edition):

Dhoot, Aditya. “Wind Farm Layout Optimization Using Approximate Inference in Graphical Models.” 2016. Masters Thesis, University of Toronto. Accessed March 20, 2019. http://hdl.handle.net/1807/72692.

MLA Handbook (7th Edition):

Dhoot, Aditya. “Wind Farm Layout Optimization Using Approximate Inference in Graphical Models.” 2016. Web. 20 Mar 2019.

Vancouver:

Dhoot A. Wind Farm Layout Optimization Using Approximate Inference in Graphical Models. [Internet] [Masters thesis]. University of Toronto; 2016. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1807/72692.

Council of Science Editors:

Dhoot A. Wind Farm Layout Optimization Using Approximate Inference in Graphical Models. [Masters Thesis]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/72692


Georgia Tech

26. Zou, Jun. Social computing for personalization and credible information mining using probabilistic graphical models.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 In this dissertation, we address challenging social computing problems in personalized recommender systems and social media information mining. We tap into probabilistic graphical models, including… (more)

Subjects/Keywords: Social computing; Recommender systems; Collaborative filtering; Belief propagation; Probabilistic graphical models

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APA (6th Edition):

Zou, J. (2016). Social computing for personalization and credible information mining using probabilistic graphical models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55646

Chicago Manual of Style (16th Edition):

Zou, Jun. “Social computing for personalization and credible information mining using probabilistic graphical models.” 2016. Doctoral Dissertation, Georgia Tech. Accessed March 20, 2019. http://hdl.handle.net/1853/55646.

MLA Handbook (7th Edition):

Zou, Jun. “Social computing for personalization and credible information mining using probabilistic graphical models.” 2016. Web. 20 Mar 2019.

Vancouver:

Zou J. Social computing for personalization and credible information mining using probabilistic graphical models. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1853/55646.

Council of Science Editors:

Zou J. Social computing for personalization and credible information mining using probabilistic graphical models. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55646


The Ohio State University

27. Ma, Yi. Learning for Spoken Dialog Systems with Discriminative Graphical Models.

Degree: PhD, Computer Science and Engineering, 2015, The Ohio State University

 A statistical spoken dialog system must keep track of what the user wants at any point during a dialog. The system has the ability to… (more)

Subjects/Keywords: Computer Science; spoken dialog systems; discriminative graphical models

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APA (6th Edition):

Ma, Y. (2015). Learning for Spoken Dialog Systems with Discriminative Graphical Models. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1440166760

Chicago Manual of Style (16th Edition):

Ma, Yi. “Learning for Spoken Dialog Systems with Discriminative Graphical Models.” 2015. Doctoral Dissertation, The Ohio State University. Accessed March 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440166760.

MLA Handbook (7th Edition):

Ma, Yi. “Learning for Spoken Dialog Systems with Discriminative Graphical Models.” 2015. Web. 20 Mar 2019.

Vancouver:

Ma Y. Learning for Spoken Dialog Systems with Discriminative Graphical Models. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2019 Mar 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440166760.

Council of Science Editors:

Ma Y. Learning for Spoken Dialog Systems with Discriminative Graphical Models. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440166760


Carnegie Mellon University

28. Wei, Wei. Probabilistic Models of Topics and Social Events.

Degree: 2016, Carnegie Mellon University

 Structured probabilistic inference has shown to be useful in modeling complex latent structures of data. One successful way in which this technique has been applied… (more)

Subjects/Keywords: Machine Learning; Topic Modeling; Graphical Models; Non-parametric Bayesian; Text Mining

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APA (6th Edition):

Wei, W. (2016). Probabilistic Models of Topics and Social Events. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/941

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):

Wei, Wei. “Probabilistic Models of Topics and Social Events.” 2016. Thesis, Carnegie Mellon University. Accessed March 20, 2019. http://repository.cmu.edu/dissertations/941.

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

MLA Handbook (7th Edition):

Wei, Wei. “Probabilistic Models of Topics and Social Events.” 2016. Web. 20 Mar 2019.

Vancouver:

Wei W. Probabilistic Models of Topics and Social Events. [Internet] [Thesis]. Carnegie Mellon University; 2016. [cited 2019 Mar 20]. Available from: http://repository.cmu.edu/dissertations/941.

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

Council of Science Editors:

Wei W. Probabilistic Models of Topics and Social Events. [Thesis]. Carnegie Mellon University; 2016. Available from: http://repository.cmu.edu/dissertations/941

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


University of California – Irvine

29. Lam, William Ming. Advancing Heuristics for Search over Graphical Models.

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

Graphical models are widely used to model complex interactions between variables. A graphical model contains many functions over these variables which have an underlying graph… (more)

Subjects/Keywords: Artificial intelligence; combinatorial optimization; graphical models; heuristic search

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APA (6th Edition):

Lam, W. M. (2017). Advancing Heuristics for Search over Graphical Models. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/3kf999mp

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):

Lam, William Ming. “Advancing Heuristics for Search over Graphical Models.” 2017. Thesis, University of California – Irvine. Accessed March 20, 2019. http://www.escholarship.org/uc/item/3kf999mp.

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

MLA Handbook (7th Edition):

Lam, William Ming. “Advancing Heuristics for Search over Graphical Models.” 2017. Web. 20 Mar 2019.

Vancouver:

Lam WM. Advancing Heuristics for Search over Graphical Models. [Internet] [Thesis]. University of California – Irvine; 2017. [cited 2019 Mar 20]. Available from: http://www.escholarship.org/uc/item/3kf999mp.

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

Council of Science Editors:

Lam WM. Advancing Heuristics for Search over Graphical Models. [Thesis]. University of California – Irvine; 2017. Available from: http://www.escholarship.org/uc/item/3kf999mp

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


University of California – Santa Cruz

30. Ng, Sam. Identifying Key Pathways in Multiple Cancers with Multi-omics Pathway Analysis.

Degree: Biomolecular Engineering and Bioinformatics, 2015, University of California – Santa Cruz

 Since response to therapy can differ greatly between cancer patients, a precision medicine approach to treating cancer based on the uniqueness of patient tumors could… (more)

Subjects/Keywords: Bioinformatics; Bioinformatics; Cancer; Graphical Models; Precision Medicine; Systems Biology; TCGA

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APA (6th Edition):

Ng, S. (2015). Identifying Key Pathways in Multiple Cancers with Multi-omics Pathway Analysis. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/7j0151v4

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):

Ng, Sam. “Identifying Key Pathways in Multiple Cancers with Multi-omics Pathway Analysis.” 2015. Thesis, University of California – Santa Cruz. Accessed March 20, 2019. http://www.escholarship.org/uc/item/7j0151v4.

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

MLA Handbook (7th Edition):

Ng, Sam. “Identifying Key Pathways in Multiple Cancers with Multi-omics Pathway Analysis.” 2015. Web. 20 Mar 2019.

Vancouver:

Ng S. Identifying Key Pathways in Multiple Cancers with Multi-omics Pathway Analysis. [Internet] [Thesis]. University of California – Santa Cruz; 2015. [cited 2019 Mar 20]. Available from: http://www.escholarship.org/uc/item/7j0151v4.

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

Council of Science Editors:

Ng S. Identifying Key Pathways in Multiple Cancers with Multi-omics Pathway Analysis. [Thesis]. University of California – Santa Cruz; 2015. Available from: http://www.escholarship.org/uc/item/7j0151v4

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

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