Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(Bregman divergence). Showing records 1 – 12 of 12 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


University of Alberta

1. Cheng, Hao. Bregman Divergence Clustering: A Convex Approach.

Degree: MS, Department of Computing Science, 2013, University of Alberta

 Due to its wide application in various fields, clustering, as a fundamental unsupervised learning problem, has been intensively investigated over the past few decades. Unfortunately,… (more)

Subjects/Keywords: convex; clustering; Bregman divergence

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Cheng, H. (2013). Bregman Divergence Clustering: A Convex Approach. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/6d56zz264

Chicago Manual of Style (16th Edition):

Cheng, Hao. “Bregman Divergence Clustering: A Convex Approach.” 2013. Masters Thesis, University of Alberta. Accessed July 18, 2019. https://era.library.ualberta.ca/files/6d56zz264.

MLA Handbook (7th Edition):

Cheng, Hao. “Bregman Divergence Clustering: A Convex Approach.” 2013. Web. 18 Jul 2019.

Vancouver:

Cheng H. Bregman Divergence Clustering: A Convex Approach. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2019 Jul 18]. Available from: https://era.library.ualberta.ca/files/6d56zz264.

Council of Science Editors:

Cheng H. Bregman Divergence Clustering: A Convex Approach. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/6d56zz264


Princeton University

2. Basbug, Mehmet Emin. Integrating Exponential Dispersion Models to Latent Structures .

Degree: PhD, 2017, Princeton University

 Latent variable models have two basic components: a latent structure encoding a hypothesized complex pattern and an observation model capturing the data distribution. With the… (more)

Subjects/Keywords: Bregman Divergence; Clustering; Exponential Dispersion Model; Machine Learning; Matrix Factorization; Missing Data

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Basbug, M. E. (2017). Integrating Exponential Dispersion Models to Latent Structures . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp019z903235x

Chicago Manual of Style (16th Edition):

Basbug, Mehmet Emin. “Integrating Exponential Dispersion Models to Latent Structures .” 2017. Doctoral Dissertation, Princeton University. Accessed July 18, 2019. http://arks.princeton.edu/ark:/88435/dsp019z903235x.

MLA Handbook (7th Edition):

Basbug, Mehmet Emin. “Integrating Exponential Dispersion Models to Latent Structures .” 2017. Web. 18 Jul 2019.

Vancouver:

Basbug ME. Integrating Exponential Dispersion Models to Latent Structures . [Internet] [Doctoral dissertation]. Princeton University; 2017. [cited 2019 Jul 18]. Available from: http://arks.princeton.edu/ark:/88435/dsp019z903235x.

Council of Science Editors:

Basbug ME. Integrating Exponential Dispersion Models to Latent Structures . [Doctoral Dissertation]. Princeton University; 2017. Available from: http://arks.princeton.edu/ark:/88435/dsp019z903235x


Western Michigan University

3. Abdullah, Osamah Ali. Indoor Localization of Mobile Devices Based on Wi-Fi Signals Via Convex Optimization and Bregman Divergence.

Degree: PhD, Electrical and Computer Engineering, 2016, Western Michigan University

  Indoor positioning systems (IPS) have been the subject of intense academic and industrial research due to the significance of such systems in a wide… (more)

Subjects/Keywords: Bregman divergence; PIIN; KNN; Wi-Fi; fingerprint; KLnrg; Electrical and Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Abdullah, O. A. (2016). Indoor Localization of Mobile Devices Based on Wi-Fi Signals Via Convex Optimization and Bregman Divergence. (Doctoral Dissertation). Western Michigan University. Retrieved from https://scholarworks.wmich.edu/dissertations/2497

Chicago Manual of Style (16th Edition):

Abdullah, Osamah Ali. “Indoor Localization of Mobile Devices Based on Wi-Fi Signals Via Convex Optimization and Bregman Divergence.” 2016. Doctoral Dissertation, Western Michigan University. Accessed July 18, 2019. https://scholarworks.wmich.edu/dissertations/2497.

MLA Handbook (7th Edition):

Abdullah, Osamah Ali. “Indoor Localization of Mobile Devices Based on Wi-Fi Signals Via Convex Optimization and Bregman Divergence.” 2016. Web. 18 Jul 2019.

Vancouver:

Abdullah OA. Indoor Localization of Mobile Devices Based on Wi-Fi Signals Via Convex Optimization and Bregman Divergence. [Internet] [Doctoral dissertation]. Western Michigan University; 2016. [cited 2019 Jul 18]. Available from: https://scholarworks.wmich.edu/dissertations/2497.

Council of Science Editors:

Abdullah OA. Indoor Localization of Mobile Devices Based on Wi-Fi Signals Via Convex Optimization and Bregman Divergence. [Doctoral Dissertation]. Western Michigan University; 2016. Available from: https://scholarworks.wmich.edu/dissertations/2497


University of Minnesota

4. Cherian, Anoop. Similarity search in visual data.

Degree: PhD, Computer science, 2013, University of Minnesota

 Contemporary times have witnessed a significant increase in the amount of data available on the Internet. Organizing such big data so that it is easily… (more)

Subjects/Keywords: Covariance matrices; Dictionary learning; Dirichlet process; Jensen-bregman logdet divergence; Nearest neighbors; Sparse coding

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Cherian, A. (2013). Similarity search in visual data. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/144455

Chicago Manual of Style (16th Edition):

Cherian, Anoop. “Similarity search in visual data.” 2013. Doctoral Dissertation, University of Minnesota. Accessed July 18, 2019. http://purl.umn.edu/144455.

MLA Handbook (7th Edition):

Cherian, Anoop. “Similarity search in visual data.” 2013. Web. 18 Jul 2019.

Vancouver:

Cherian A. Similarity search in visual data. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2019 Jul 18]. Available from: http://purl.umn.edu/144455.

Council of Science Editors:

Cherian A. Similarity search in visual data. [Doctoral Dissertation]. University of Minnesota; 2013. Available from: http://purl.umn.edu/144455

5. Acharyya, Sreangsu. Learning to rank in supervised and unsupervised settings using convexity and monotonicity.

Degree: Electrical and Computer Engineering, 2013, University of Texas – Austin

 This dissertation addresses the task of learning to rank, both in the supervised and unsupervised settings, by exploiting the interplay of convex functions, monotonic mappings… (more)

Subjects/Keywords: Learning to rank; Convexity; Monotonicity; Bregman divergence

Bregman divergence between the consensus rank and the ranks induced by item specific… …7 2.2 Bregman Divergence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9… …such that the symmetrized Bregman divergence between ρT and wT +1 is 5.4 β 1−β times their… …schematic applies equally to the general Bregman divergence case as well. To represent this… …simultaneous projections can be computed independent of the Bregman divergence and the other… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Acharyya, S. (2013). Learning to rank in supervised and unsupervised settings using convexity and monotonicity. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/21154

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):

Acharyya, Sreangsu. “Learning to rank in supervised and unsupervised settings using convexity and monotonicity.” 2013. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/21154.

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

MLA Handbook (7th Edition):

Acharyya, Sreangsu. “Learning to rank in supervised and unsupervised settings using convexity and monotonicity.” 2013. Web. 18 Jul 2019.

Vancouver:

Acharyya S. Learning to rank in supervised and unsupervised settings using convexity and monotonicity. [Internet] [Thesis]. University of Texas – Austin; 2013. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/21154.

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

Council of Science Editors:

Acharyya S. Learning to rank in supervised and unsupervised settings using convexity and monotonicity. [Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/21154

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


Pontifical Catholic University of Rio de Janeiro

6. DANIEL ALEJANDRO MESEJO-LEON. [en] APPROXIMATE NEAREST NEIGHBOR SEARCH FOR THE KULLBACK-LEIBLER DIVERGENCE.

Degree: 2018, Pontifical Catholic University of Rio de Janeiro

[pt] Em uma série de aplicações, os pontos de dados podem ser representados como distribuições de probabilidade. Por exemplo, os documentos podem ser representados como… (more)

Subjects/Keywords: [pt] DIVERGENCIA KULLBACK-LEIBER; [en] KULLBACK-LEIBLER DIVERGENCE; [pt] BUSCA DE VIZINHOS MAIS PROXIMOS; [en] NEAREST NEIGHBOR SEARCH; [pt] INDICES INVERTIDOS; [en] INVERTED INDEX; [pt] HASH SENSIVEL A LOCALIDADE; [en] LOCALITY SENSITIVE HASHING; [pt] ARVORES DE BREGMAN; [en] BREGMAN BALL TREE

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

MESEJO-LEON, D. A. (2018). [en] APPROXIMATE NEAREST NEIGHBOR SEARCH FOR THE KULLBACK-LEIBLER DIVERGENCE. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33305

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):

MESEJO-LEON, DANIEL ALEJANDRO. “[en] APPROXIMATE NEAREST NEIGHBOR SEARCH FOR THE KULLBACK-LEIBLER DIVERGENCE.” 2018. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed July 18, 2019. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33305.

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

MLA Handbook (7th Edition):

MESEJO-LEON, DANIEL ALEJANDRO. “[en] APPROXIMATE NEAREST NEIGHBOR SEARCH FOR THE KULLBACK-LEIBLER DIVERGENCE.” 2018. Web. 18 Jul 2019.

Vancouver:

MESEJO-LEON DA. [en] APPROXIMATE NEAREST NEIGHBOR SEARCH FOR THE KULLBACK-LEIBLER DIVERGENCE. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2018. [cited 2019 Jul 18]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33305.

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

Council of Science Editors:

MESEJO-LEON DA. [en] APPROXIMATE NEAREST NEIGHBOR SEARCH FOR THE KULLBACK-LEIBLER DIVERGENCE. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2018. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33305

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


University of Florida

7. Liu, Meizhu. Total Bregman Divergence, a Robust Divergence Measure, and Its Applications.

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

Divergence measures provide a means to measure the pairwise dissimilarity between "objects", e.g., vectors and probability density functions (pdfs). Kullback-Leibler (KL) divergence and the square… (more)

Subjects/Keywords: Algorithms; Computer conferencing; Computer pattern recognition; Computer vision; Databases; Datasets; Information retrieval; Machine learning; Outliers; Tensors; boosting  – bregman  – divergence  – dti  – metric  – robust

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Liu, M. (2011). Total Bregman Divergence, a Robust Divergence Measure, and Its Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043601

Chicago Manual of Style (16th Edition):

Liu, Meizhu. “Total Bregman Divergence, a Robust Divergence Measure, and Its Applications.” 2011. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0043601.

MLA Handbook (7th Edition):

Liu, Meizhu. “Total Bregman Divergence, a Robust Divergence Measure, and Its Applications.” 2011. Web. 18 Jul 2019.

Vancouver:

Liu M. Total Bregman Divergence, a Robust Divergence Measure, and Its Applications. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0043601.

Council of Science Editors:

Liu M. Total Bregman Divergence, a Robust Divergence Measure, and Its Applications. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043601

8. Hasnat, Md Abul. Unsupervised 3D image clustering and extension to joint color and depth segmentation : Classification non supervisée d’images 3D et extension à la segmentation exploitant les informations de couleur et de profondeur.

Degree: Docteur es, Image, Vision, Signal, 2014, Saint-Etienne

L'accès aux séquences d'images 3D s'est aujourd'hui démocratisé, grâce aux récentes avancées dans le développement des capteurs de profondeur ainsi que des méthodes permettant de… (more)

Subjects/Keywords: Analyse d'images de profondeur; Segmentation d'images RGB-D; Classification non supervisée; Divergence de Bregman; Sélection de modèles; Distributions directionnelles; Loi de Von Mises-Fisher; Loi de Watson; Analysis depth images; RGB-D image segmentation; Unsupervised classification; Bregman divergence; Models selection; Directional distributions; Von Mises-Fisher distribution; Watson distribution

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hasnat, M. A. (2014). Unsupervised 3D image clustering and extension to joint color and depth segmentation : Classification non supervisée d’images 3D et extension à la segmentation exploitant les informations de couleur et de profondeur. (Doctoral Dissertation). Saint-Etienne. Retrieved from http://www.theses.fr/2014STET4013

Chicago Manual of Style (16th Edition):

Hasnat, Md Abul. “Unsupervised 3D image clustering and extension to joint color and depth segmentation : Classification non supervisée d’images 3D et extension à la segmentation exploitant les informations de couleur et de profondeur.” 2014. Doctoral Dissertation, Saint-Etienne. Accessed July 18, 2019. http://www.theses.fr/2014STET4013.

MLA Handbook (7th Edition):

Hasnat, Md Abul. “Unsupervised 3D image clustering and extension to joint color and depth segmentation : Classification non supervisée d’images 3D et extension à la segmentation exploitant les informations de couleur et de profondeur.” 2014. Web. 18 Jul 2019.

Vancouver:

Hasnat MA. Unsupervised 3D image clustering and extension to joint color and depth segmentation : Classification non supervisée d’images 3D et extension à la segmentation exploitant les informations de couleur et de profondeur. [Internet] [Doctoral dissertation]. Saint-Etienne; 2014. [cited 2019 Jul 18]. Available from: http://www.theses.fr/2014STET4013.

Council of Science Editors:

Hasnat MA. Unsupervised 3D image clustering and extension to joint color and depth segmentation : Classification non supervisée d’images 3D et extension à la segmentation exploitant les informations de couleur et de profondeur. [Doctoral Dissertation]. Saint-Etienne; 2014. Available from: http://www.theses.fr/2014STET4013

9. Adamcik, Martin. Collective reasoning under uncertainty and inconsistency.

Degree: PhD, 2014, University of Manchester

 In this thesis we investigate some global desiderata for probabilistic knowledge merging given several possibly jointly inconsistent, but individually consistent knowledge bases. We show that… (more)

Subjects/Keywords: 519.2; probabilistic reasoning; probability function; probabilistic merging; Bregman divergence; Kullback-Leibler divergence; principles for merging

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Adamcik, M. (2014). Collective reasoning under uncertainty and inconsistency. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/collective-reasoning-under-uncertainty-and-inconsistency(7fab8021-8beb-45e7-8b45-7cb4fadd70be).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603220

Chicago Manual of Style (16th Edition):

Adamcik, Martin. “Collective reasoning under uncertainty and inconsistency.” 2014. Doctoral Dissertation, University of Manchester. Accessed July 18, 2019. https://www.research.manchester.ac.uk/portal/en/theses/collective-reasoning-under-uncertainty-and-inconsistency(7fab8021-8beb-45e7-8b45-7cb4fadd70be).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603220.

MLA Handbook (7th Edition):

Adamcik, Martin. “Collective reasoning under uncertainty and inconsistency.” 2014. Web. 18 Jul 2019.

Vancouver:

Adamcik M. Collective reasoning under uncertainty and inconsistency. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2019 Jul 18]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/collective-reasoning-under-uncertainty-and-inconsistency(7fab8021-8beb-45e7-8b45-7cb4fadd70be).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603220.

Council of Science Editors:

Adamcik M. Collective reasoning under uncertainty and inconsistency. [Doctoral Dissertation]. University of Manchester; 2014. Available from: https://www.research.manchester.ac.uk/portal/en/theses/collective-reasoning-under-uncertainty-and-inconsistency(7fab8021-8beb-45e7-8b45-7cb4fadd70be).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603220

10. Adamcik, Martin. Collective Reasoning under Uncertainty and Inconsistency.

Degree: 2014, University of Manchester

 In this thesis we investigate some global desiderata for probabilistic knowledge merging given several possibly jointly inconsistent, but individually consistent knowledge bases. We show that… (more)

Subjects/Keywords: probabilistic reasoning; probability function; probabilistic merging; Bregman divergence; Kullback-Leibler divergence; principles for merging

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Adamcik, M. (2014). Collective Reasoning under Uncertainty and Inconsistency. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:219828

Chicago Manual of Style (16th Edition):

Adamcik, Martin. “Collective Reasoning under Uncertainty and Inconsistency.” 2014. Doctoral Dissertation, University of Manchester. Accessed July 18, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:219828.

MLA Handbook (7th Edition):

Adamcik, Martin. “Collective Reasoning under Uncertainty and Inconsistency.” 2014. Web. 18 Jul 2019.

Vancouver:

Adamcik M. Collective Reasoning under Uncertainty and Inconsistency. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2019 Jul 18]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:219828.

Council of Science Editors:

Adamcik M. Collective Reasoning under Uncertainty and Inconsistency. [Doctoral Dissertation]. University of Manchester; 2014. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:219828

11. Sustik, Mátyás Attila. Structured numerical problems in contemporary applications.

Degree: Computer Sciences, 2013, University of Texas – Austin

 The presence of structure in a computational problem can often be exploited and can lead to a more efficient numerical algorithm. In this dissertation, we… (more)

Subjects/Keywords: Matrix computation; Inverse eigenvalue problem; Equiangular frame; Bregman divergence; Zero-finding; Divide-and-conquer eigensolver

divergence, and Cholesky updates in case of the LogDet Bregman matrix divergence. Our contribution… …the objective functions to be minimized are the von Neumann and the LogDet Bregman matrix… …4.1.3 Bregman’s Algorithm . . . . . . . . . . . . . 4.2 Bregman Divergences for Rank–deficient… …Kernel Learning with Bregman Matrix Divergences with B. Kulis and I. S. Dhillon appeared in… 

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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sustik, M. A. (2013). Structured numerical problems in contemporary applications. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/21855

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):

Sustik, Mátyás Attila. “Structured numerical problems in contemporary applications.” 2013. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/21855.

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

MLA Handbook (7th Edition):

Sustik, Mátyás Attila. “Structured numerical problems in contemporary applications.” 2013. Web. 18 Jul 2019.

Vancouver:

Sustik MA. Structured numerical problems in contemporary applications. [Internet] [Thesis]. University of Texas – Austin; 2013. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/21855.

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

Council of Science Editors:

Sustik MA. Structured numerical problems in contemporary applications. [Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/21855

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

12. Sears, Timothy. Generalized Maximum Entropy, Convexity and Machine Learning .

Degree: 2010, Australian National University

 This thesis identifies and extends techniques that can be linked to the principle of maximum entropy (maxent) and applied to parameter estimation in machine learning… (more)

Subjects/Keywords: Maximum entropy; Bregman divergence; exponential family; deformed logarithm; escort distribution; non-negative matrix factorization.

…NMF). Keywords: Maximum entropy, Bregman divergence, exponential family, deformed… …Examples . . . . . . . . . . . . . . . 2.3 Bregman Divergence… …2.3.1 Support function of Bregman divergence sublevel set 2.3.2 Csiszar’s divergence… …sets. . . . . . . . . . . . . . . . . . Bregman divergence . . . . . . . . . . . . . Bregman… …turn a special case of Bregman divergence. Bregman divergence between two distributions is… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sears, T. (2010). Generalized Maximum Entropy, Convexity and Machine Learning . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/49355

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):

Sears, Timothy. “Generalized Maximum Entropy, Convexity and Machine Learning .” 2010. Thesis, Australian National University. Accessed July 18, 2019. http://hdl.handle.net/1885/49355.

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

MLA Handbook (7th Edition):

Sears, Timothy. “Generalized Maximum Entropy, Convexity and Machine Learning .” 2010. Web. 18 Jul 2019.

Vancouver:

Sears T. Generalized Maximum Entropy, Convexity and Machine Learning . [Internet] [Thesis]. Australian National University; 2010. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/1885/49355.

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

Council of Science Editors:

Sears T. Generalized Maximum Entropy, Convexity and Machine Learning . [Thesis]. Australian National University; 2010. Available from: http://hdl.handle.net/1885/49355

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

.