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You searched for subject:( KL divergence). Showing records 1 – 9 of 9 total matches.

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University of Guelph

1. FANG, XUAN. Computational Gains Via a Discretization of the Parameter Space in Individual Level Models of Infectious Disease .

Degree: 2012, University of Guelph

 The Bayesian Markov Chain Monte Carlo(MCMC) approach to inference is commonly used to estimate the parameters in spatial infectious disease models. However, such MCMC analyses… (more)

Subjects/Keywords: MCMC; Infectious Disease; Individual Level Model; KL-divergence; Computational Gain

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APA (6th Edition):

FANG, X. (2012). Computational Gains Via a Discretization of the Parameter Space in Individual Level Models of Infectious Disease . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3276

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):

FANG, XUAN. “Computational Gains Via a Discretization of the Parameter Space in Individual Level Models of Infectious Disease .” 2012. Thesis, University of Guelph. Accessed October 14, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3276.

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

MLA Handbook (7th Edition):

FANG, XUAN. “Computational Gains Via a Discretization of the Parameter Space in Individual Level Models of Infectious Disease .” 2012. Web. 14 Oct 2019.

Vancouver:

FANG X. Computational Gains Via a Discretization of the Parameter Space in Individual Level Models of Infectious Disease . [Internet] [Thesis]. University of Guelph; 2012. [cited 2019 Oct 14]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3276.

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

Council of Science Editors:

FANG X. Computational Gains Via a Discretization of the Parameter Space in Individual Level Models of Infectious Disease . [Thesis]. University of Guelph; 2012. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3276

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

2. Sepúlveda Torres, Lianet. Representações hierárquicas de vocábulos de línguas indígenas brasileiras: modelos baseados em mistura de Gaussianas.

Degree: Mestrado, Processamento de Sinais de Instrumentação, 2010, University of São Paulo

Apesar da ampla diversidade de línguas indígenas no Brasil, poucas pesquisas estudam estas línguas e suas relações. Inúmeros esforços têm sido dedicados a procurar similaridades… (more)

Subjects/Keywords: Agrupamento hierárquico; Dendogram; Dendrograma; Divergência KL; Gaussian mixture models; Hierarchical clustering; Indigenous languages; KL divergence; Línguas indígenas; Mistura de gaussianas

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APA (6th Edition):

Sepúlveda Torres, L. (2010). Representações hierárquicas de vocábulos de línguas indígenas brasileiras: modelos baseados em mistura de Gaussianas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/18/18152/tde-22122010-154505/ ;

Chicago Manual of Style (16th Edition):

Sepúlveda Torres, Lianet. “Representações hierárquicas de vocábulos de línguas indígenas brasileiras: modelos baseados em mistura de Gaussianas.” 2010. Masters Thesis, University of São Paulo. Accessed October 14, 2019. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-22122010-154505/ ;.

MLA Handbook (7th Edition):

Sepúlveda Torres, Lianet. “Representações hierárquicas de vocábulos de línguas indígenas brasileiras: modelos baseados em mistura de Gaussianas.” 2010. Web. 14 Oct 2019.

Vancouver:

Sepúlveda Torres L. Representações hierárquicas de vocábulos de línguas indígenas brasileiras: modelos baseados em mistura de Gaussianas. [Internet] [Masters thesis]. University of São Paulo; 2010. [cited 2019 Oct 14]. Available from: http://www.teses.usp.br/teses/disponiveis/18/18152/tde-22122010-154505/ ;.

Council of Science Editors:

Sepúlveda Torres L. Representações hierárquicas de vocábulos de línguas indígenas brasileiras: modelos baseados em mistura de Gaussianas. [Masters Thesis]. University of São Paulo; 2010. Available from: http://www.teses.usp.br/teses/disponiveis/18/18152/tde-22122010-154505/ ;

3. Krstanović Lidija. Mera sličnosti između modela Gausovih smeša zasnovana na transformaciji prostora parametara.

Degree: 2017, University of Novi Sad

Predmet istraživanja ovog rada je istraživanje i eksploatacija mogućnosti da parametri Gausovih komponenti korišćenih Gaussian mixture modela  (GMM) aproksimativno leže na niže dimenzionalnoj površi… (more)

Subjects/Keywords: Gausove smeše, Mere sličnosti, Redukcija dimenzionalnosti, KL-divergenca; Gaussian mixture model, Similarity measures, Dimensionality reduction, KL-divergence

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APA (6th Edition):

Lidija, K. (2017). Mera sličnosti između modela Gausovih smeša zasnovana na transformaciji prostora parametara. (Thesis). University of Novi Sad. Retrieved from https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija150062423322666.pdf?controlNumber=(BISIS)104904&fileName=150062423322666.pdf&id=10282&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=104904&source=OATD&language=en

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):

Lidija, Krstanović. “Mera sličnosti između modela Gausovih smeša zasnovana na transformaciji prostora parametara.” 2017. Thesis, University of Novi Sad. Accessed October 14, 2019. https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija150062423322666.pdf?controlNumber=(BISIS)104904&fileName=150062423322666.pdf&id=10282&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=104904&source=OATD&language=en.

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

MLA Handbook (7th Edition):

Lidija, Krstanović. “Mera sličnosti između modela Gausovih smeša zasnovana na transformaciji prostora parametara.” 2017. Web. 14 Oct 2019.

Vancouver:

Lidija K. Mera sličnosti između modela Gausovih smeša zasnovana na transformaciji prostora parametara. [Internet] [Thesis]. University of Novi Sad; 2017. [cited 2019 Oct 14]. Available from: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija150062423322666.pdf?controlNumber=(BISIS)104904&fileName=150062423322666.pdf&id=10282&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=104904&source=OATD&language=en.

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

Council of Science Editors:

Lidija K. Mera sličnosti između modela Gausovih smeša zasnovana na transformaciji prostora parametara. [Thesis]. University of Novi Sad; 2017. Available from: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija150062423322666.pdf?controlNumber=(BISIS)104904&fileName=150062423322666.pdf&id=10282&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=104904&source=OATD&language=en

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


Michigan Technological University

4. Amin, Ishtiaque. Detection of complex point targets with distributed assets in a MIMO radar system.

Degree: MS, Department of Electrical and Computer Engineering, 2011, Michigan Technological University

 The report explores the problem of detecting complex point target models in a MIMO radar system. A complex point target is a mathematical and statistical… (more)

Subjects/Keywords: MIMO radar; target model; target extent; SNR; ROC; KL divergence; Electrical and Computer Engineering; Engineering

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APA (6th Edition):

Amin, I. (2011). Detection of complex point targets with distributed assets in a MIMO radar system. (Masters Thesis). Michigan Technological University. Retrieved from http://digitalcommons.mtu.edu/etds/575

Chicago Manual of Style (16th Edition):

Amin, Ishtiaque. “Detection of complex point targets with distributed assets in a MIMO radar system.” 2011. Masters Thesis, Michigan Technological University. Accessed October 14, 2019. http://digitalcommons.mtu.edu/etds/575.

MLA Handbook (7th Edition):

Amin, Ishtiaque. “Detection of complex point targets with distributed assets in a MIMO radar system.” 2011. Web. 14 Oct 2019.

Vancouver:

Amin I. Detection of complex point targets with distributed assets in a MIMO radar system. [Internet] [Masters thesis]. Michigan Technological University; 2011. [cited 2019 Oct 14]. Available from: http://digitalcommons.mtu.edu/etds/575.

Council of Science Editors:

Amin I. Detection of complex point targets with distributed assets in a MIMO radar system. [Masters Thesis]. Michigan Technological University; 2011. Available from: http://digitalcommons.mtu.edu/etds/575


Georgia Tech

5. Chen, Jiangning. Text-classification methods and the mathematical theory of Principal Components.

Degree: PhD, Mathematics, 2019, Georgia Tech

 This thesis studies three topics. First of all, in text classification, one may use Principal Components Analysis (PCA) as a dimension reduction technique, or with… (more)

Subjects/Keywords: Text-classification; NLP; PCA; online PCA; incremental scheme; Naive Bayes; Partial labeling; KL divergence

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APA (6th Edition):

Chen, J. (2019). Text-classification methods and the mathematical theory of Principal Components. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61686

Chicago Manual of Style (16th Edition):

Chen, Jiangning. “Text-classification methods and the mathematical theory of Principal Components.” 2019. Doctoral Dissertation, Georgia Tech. Accessed October 14, 2019. http://hdl.handle.net/1853/61686.

MLA Handbook (7th Edition):

Chen, Jiangning. “Text-classification methods and the mathematical theory of Principal Components.” 2019. Web. 14 Oct 2019.

Vancouver:

Chen J. Text-classification methods and the mathematical theory of Principal Components. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/1853/61686.

Council of Science Editors:

Chen J. Text-classification methods and the mathematical theory of Principal Components. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61686

6. Bu, Yuheng. Estimation of KL divergence: optimal minimax rate.

Degree: MS, Electrical & Computer Engr, 2016, University of Illinois – Urbana-Champaign

 The problem of estimating the Kullback-Leibler divergence D(P||Q) between two unknown distributions P and Q is studied, under the assumption that the alphabet size k… (more)

Subjects/Keywords: KL divergence estimation; Best polynomial approximation; Large alphabet; Functional estimation

…quantity in information theory, the Kullback-Leibler (KL) divergence between two… …distributions has a wide range of applications in various domains. For example, KL divergence can be… …x5D;. In these contexts, it is often desired to estimate KL divergence efficiently based on… …estimation of KL divergence between two probability distributions P and Q defined as D(P kQ… …case quadratic risk to measure the performance of estimators of the KL divergence: R(D̂… 

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APA (6th Edition):

Bu, Y. (2016). Estimation of KL divergence: optimal minimax rate. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95324

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):

Bu, Yuheng. “Estimation of KL divergence: optimal minimax rate.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed October 14, 2019. http://hdl.handle.net/2142/95324.

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

MLA Handbook (7th Edition):

Bu, Yuheng. “Estimation of KL divergence: optimal minimax rate.” 2016. Web. 14 Oct 2019.

Vancouver:

Bu Y. Estimation of KL divergence: optimal minimax rate. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/2142/95324.

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

Council of Science Editors:

Bu Y. Estimation of KL divergence: optimal minimax rate. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95324

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

7. Nguyen, Duy Khuong. 非負数マトリックス因数分解へのリッチモデルと高速アルゴリズム.

Degree: 博士(知識科学), 2016, Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学

Supervisor:Ho Bao Tu

知識科学研究科

博士

Subjects/Keywords: Rich models; fast algorithms; nonnegative matrix factorization; parallel and distributed; Frobenius norm; KL divergence

Page 1 Page 2 Page 3

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APA (6th Edition):

Nguyen, D. K. (2016). 非負数マトリックス因数分解へのリッチモデルと高速アルゴリズム. (Thesis). Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10119/13512

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):

Nguyen, Duy Khuong. “非負数マトリックス因数分解へのリッチモデルと高速アルゴリズム.” 2016. Thesis, Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Accessed October 14, 2019. http://hdl.handle.net/10119/13512.

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

MLA Handbook (7th Edition):

Nguyen, Duy Khuong. “非負数マトリックス因数分解へのリッチモデルと高速アルゴリズム.” 2016. Web. 14 Oct 2019.

Vancouver:

Nguyen DK. 非負数マトリックス因数分解へのリッチモデルと高速アルゴリズム. [Internet] [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; 2016. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/10119/13512.

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

Council of Science Editors:

Nguyen DK. 非負数マトリックス因数分解へのリッチモデルと高速アルゴリズム. [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; 2016. Available from: http://hdl.handle.net/10119/13512

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


University of Cambridge

8. Hee, Sonke. Computational Bayesian techniques applied to cosmology.

Degree: PhD, 2018, University of Cambridge

 This thesis presents work around 3 themes: dark energy, gravitational waves and Bayesian inference. Both dark energy and gravitational wave physics are not yet well… (more)

Subjects/Keywords: Bayesian inference; Cosmology; Dark Energy; LCDM; Quintessence; Statistics; Gravitational waves; Tests of GR; Computational acceleration; Nested Sampling; General Relativity; Multinest; PolyChord; Product Space MCMC; Model selection; Posterior odds; Posterior Odds Ratio; Bayes factors; Parameter estimation; Equation of state; Phantom Dark Energy; Microwave background radiation; CMB; Supernovae; Baryonic Acoustic Oscillations; Data constraints; Kullback Leibler Divergence; KL divergence; LIGO; Constraining power; Lyman alpha forest; Bayesian; Bayes theorem; Probability; Efficiency; Concordance model; Parameter reconstruction; Marginal Likelihood; Kerr waveform; Free-form reconstruction; w(z); w=-1; Cosmological constant; Model comparison; Evidence; CosmoMC; CAMB; Hyper-likelihood; Model averaging; Planck

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APA (6th Edition):

Hee, S. (2018). Computational Bayesian techniques applied to cosmology. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549

Chicago Manual of Style (16th Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology.” 2018. Doctoral Dissertation, University of Cambridge. Accessed October 14, 2019. https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549.

MLA Handbook (7th Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology.” 2018. Web. 14 Oct 2019.

Vancouver:

Hee S. Computational Bayesian techniques applied to cosmology. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2019 Oct 14]. Available from: https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549.

Council of Science Editors:

Hee S. Computational Bayesian techniques applied to cosmology. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549


University of Cambridge

9. Hee, Sonke. Computational Bayesian techniques applied to cosmology .

Degree: 2018, University of Cambridge

 This thesis presents work around 3 themes: dark energy, gravitational waves and Bayesian inference. Both dark energy and gravitational wave physics are not yet well… (more)

Subjects/Keywords: Bayesian inference; Cosmology; Dark Energy; LCDM; Quintessence; Statistics; Gravitational waves; Tests of GR; Computational acceleration; Nested Sampling; General Relativity; Multinest; PolyChord; Product Space MCMC; Model selection; Posterior odds; Posterior Odds Ratio; Bayes factors; Parameter estimation; Equation of state; Phantom Dark Energy; Microwave background radiation; CMB; Supernovae; Baryonic Acoustic Oscillations; Data constraints; Kullback Leibler Divergence; KL divergence; LIGO; Constraining power; Lyman alpha forest; Bayesian; Bayes theorem; Probability; Efficiency; Concordance model; Parameter reconstruction; Marginal Likelihood; Kerr waveform; Free-form reconstruction; w(z); w=-1; Cosmological constant; Model comparison; Evidence; CosmoMC; CAMB; Hyper-likelihood; Model averaging; Planck

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

APA (6th Edition):

Hee, S. (2018). Computational Bayesian techniques applied to cosmology . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/273346

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):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology .” 2018. Thesis, University of Cambridge. Accessed October 14, 2019. https://www.repository.cam.ac.uk/handle/1810/273346.

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

MLA Handbook (7th Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology .” 2018. Web. 14 Oct 2019.

Vancouver:

Hee S. Computational Bayesian techniques applied to cosmology . [Internet] [Thesis]. University of Cambridge; 2018. [cited 2019 Oct 14]. Available from: https://www.repository.cam.ac.uk/handle/1810/273346.

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

Council of Science Editors:

Hee S. Computational Bayesian techniques applied to cosmology . [Thesis]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/273346

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

.