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You searched for subject:(Co factorization). Showing records 1 – 4 of 4 total matches.

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1. -7585-6925. Distributed and dynamic factor modeling of online data.

Degree: Electrical and Computer Engineering, 2017, University of Texas – Austin

 The domain of data mining and machine learning has expanded rapidly in recent years to include both large-scale distributed and streaming computation. Although many open-source… (more)

Subjects/Keywords: Distributed clustering; Dynamic clustering; Matrix factorization; Co-factorization

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

APA (6th Edition):

-7585-6925. (2017). Distributed and dynamic factor modeling of online data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62065

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):

-7585-6925. “Distributed and dynamic factor modeling of online data.” 2017. Thesis, University of Texas – Austin. Accessed March 19, 2019. http://hdl.handle.net/2152/62065.

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):

-7585-6925. “Distributed and dynamic factor modeling of online data.” 2017. Web. 19 Mar 2019.

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

Vancouver:

-7585-6925. Distributed and dynamic factor modeling of online data. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/2152/62065.

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:

-7585-6925. Distributed and dynamic factor modeling of online data. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62065

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


Rochester Institute of Technology

2. Salunke, Amit. Evolutionary star-structured heterogeneous data co-clustering.

Degree: Computer Science (GCCIS), 2012, Rochester Institute of Technology

 A star-structured interrelationship, which is a more common type in real world data, has a central object connected to the other types of objects. One… (more)

Subjects/Keywords: Clustering; Co-clustering; Evolutionary; Heterogeneous data; Non-negative matrix factorization; Star-structured

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

APA (6th Edition):

Salunke, A. (2012). Evolutionary star-structured heterogeneous data co-clustering. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/5522

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):

Salunke, Amit. “Evolutionary star-structured heterogeneous data co-clustering.” 2012. Thesis, Rochester Institute of Technology. Accessed March 19, 2019. https://scholarworks.rit.edu/theses/5522.

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

MLA Handbook (7th Edition):

Salunke, Amit. “Evolutionary star-structured heterogeneous data co-clustering.” 2012. Web. 19 Mar 2019.

Vancouver:

Salunke A. Evolutionary star-structured heterogeneous data co-clustering. [Internet] [Thesis]. Rochester Institute of Technology; 2012. [cited 2019 Mar 19]. Available from: https://scholarworks.rit.edu/theses/5522.

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

Council of Science Editors:

Salunke A. Evolutionary star-structured heterogeneous data co-clustering. [Thesis]. Rochester Institute of Technology; 2012. Available from: https://scholarworks.rit.edu/theses/5522

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


Cornell University

3. Lee, Moontae. Joint-stochastic Spectral Inference for Robust Co-occurrence Modeling and Latent Topic Analysis .

Degree: 2018, Cornell University

Co-occurrence information is powerful statistics that can model various discrete objects by their joint instances with other objects. Transforming unsupervised problems of learning low-dimensional geometry… (more)

Subjects/Keywords: Statistics; Applied mathematics; Anchor Word Algorithm; Co-occurrence Modeling; Joint-Stochastic Matrix Factorization; Rectification; Spectral Inference; Topic Modeling; Artificial intelligence

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

APA (6th Edition):

Lee, M. (2018). Joint-stochastic Spectral Inference for Robust Co-occurrence Modeling and Latent Topic Analysis . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59414

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):

Lee, Moontae. “Joint-stochastic Spectral Inference for Robust Co-occurrence Modeling and Latent Topic Analysis .” 2018. Thesis, Cornell University. Accessed March 19, 2019. http://hdl.handle.net/1813/59414.

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

MLA Handbook (7th Edition):

Lee, Moontae. “Joint-stochastic Spectral Inference for Robust Co-occurrence Modeling and Latent Topic Analysis .” 2018. Web. 19 Mar 2019.

Vancouver:

Lee M. Joint-stochastic Spectral Inference for Robust Co-occurrence Modeling and Latent Topic Analysis . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/1813/59414.

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

Council of Science Editors:

Lee M. Joint-stochastic Spectral Inference for Robust Co-occurrence Modeling and Latent Topic Analysis . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59414

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


University of Illinois – Urbana-Champaign

4. Paul, Subhadeep. Consistent community detection in uni-layer and multi-layer networks.

Degree: PhD, Statistics, 2017, University of Illinois – Urbana-Champaign

 Over the last two decades, we have witnessed a massive explosion of our data collection abilities and the birth of a "big data" age. This… (more)

Subjects/Keywords: Community detection; Consistency; Co-regularization; Invariant subspaces; Minimax rates; Multi-layer networks; Multi-layer null models; Multi-layer modularity; Multi-layer stochastic block model; Network analysis; Non-negative matrix factorization; Neuroimaging; Random effects stochastic block model; Stochastic block model; Spectral clustering; Variational expectation-maximization (EM)

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

APA (6th Edition):

Paul, S. (2017). Consistent community detection in uni-layer and multi-layer networks. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/98136

Chicago Manual of Style (16th Edition):

Paul, Subhadeep. “Consistent community detection in uni-layer and multi-layer networks.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 19, 2019. http://hdl.handle.net/2142/98136.

MLA Handbook (7th Edition):

Paul, Subhadeep. “Consistent community detection in uni-layer and multi-layer networks.” 2017. Web. 19 Mar 2019.

Vancouver:

Paul S. Consistent community detection in uni-layer and multi-layer networks. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/2142/98136.

Council of Science Editors:

Paul S. Consistent community detection in uni-layer and multi-layer networks. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/98136

.