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You searched for subject:( learning networks). Showing records 1 – 30 of 1647 total matches.

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University of Waterloo

1. Bekolay, Trevor. Learning in large-scale spiking neural networks.

Degree: 2011, University of Waterloo

Learning is central to the exploration of intelligence. Psychology and machine learning provide high-level explanations of how rational agents learn. Neuroscience provides low-level descriptions of… (more)

Subjects/Keywords: neuroplasticity; learning; neural networks; spiking neural networks

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APA (6th Edition):

Bekolay, T. (2011). Learning in large-scale spiking neural networks. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6195

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):

Bekolay, Trevor. “Learning in large-scale spiking neural networks.” 2011. Thesis, University of Waterloo. Accessed October 23, 2019. http://hdl.handle.net/10012/6195.

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

MLA Handbook (7th Edition):

Bekolay, Trevor. “Learning in large-scale spiking neural networks.” 2011. Web. 23 Oct 2019.

Vancouver:

Bekolay T. Learning in large-scale spiking neural networks. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10012/6195.

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

Council of Science Editors:

Bekolay T. Learning in large-scale spiking neural networks. [Thesis]. University of Waterloo; 2011. Available from: http://hdl.handle.net/10012/6195

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


Nelson Mandela Metropolitan University

2. Olamijulo, Christianah. An investigation into integrating social sites as a teaching and learning practice to create dialogue spaces in the language classroom.

Degree: Faculty of Arts, 2012, Nelson Mandela Metropolitan University

 This study intends to explore how social media or social networking sites (SNSs) such as Facebook can facilitate communication channels or create dialogue spaces in… (more)

Subjects/Keywords: Online social networks; Blended learning

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APA (6th Edition):

Olamijulo, C. (2012). An investigation into integrating social sites as a teaching and learning practice to create dialogue spaces in the language classroom. (Thesis). Nelson Mandela Metropolitan University. Retrieved from http://hdl.handle.net/10948/d1020149

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):

Olamijulo, Christianah. “An investigation into integrating social sites as a teaching and learning practice to create dialogue spaces in the language classroom.” 2012. Thesis, Nelson Mandela Metropolitan University. Accessed October 23, 2019. http://hdl.handle.net/10948/d1020149.

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

MLA Handbook (7th Edition):

Olamijulo, Christianah. “An investigation into integrating social sites as a teaching and learning practice to create dialogue spaces in the language classroom.” 2012. Web. 23 Oct 2019.

Vancouver:

Olamijulo C. An investigation into integrating social sites as a teaching and learning practice to create dialogue spaces in the language classroom. [Internet] [Thesis]. Nelson Mandela Metropolitan University; 2012. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10948/d1020149.

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

Council of Science Editors:

Olamijulo C. An investigation into integrating social sites as a teaching and learning practice to create dialogue spaces in the language classroom. [Thesis]. Nelson Mandela Metropolitan University; 2012. Available from: http://hdl.handle.net/10948/d1020149

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


Open Universiteit Nederland

3. Bartelts-Schilt, Marleen. Sturen op Optimale Motivatie in Leernetwerken voor Professioneel Leren .

Degree: 2015, Open Universiteit Nederland

 Bekwame leraren, die zich professioneel willen ontwikkelen en willen bijdragen aan innovatie zijn onontbeerlijk voor kwalitatief hoogwaardig onderwijs. Het onderwijs moet zich immers continu aanpassen… (more)

Subjects/Keywords: motivation; learning networks; professional development

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APA (6th Edition):

Bartelts-Schilt, M. (2015). Sturen op Optimale Motivatie in Leernetwerken voor Professioneel Leren . (Masters Thesis). Open Universiteit Nederland. Retrieved from http://hdl.handle.net/1820/6273

Chicago Manual of Style (16th Edition):

Bartelts-Schilt, Marleen. “Sturen op Optimale Motivatie in Leernetwerken voor Professioneel Leren .” 2015. Masters Thesis, Open Universiteit Nederland. Accessed October 23, 2019. http://hdl.handle.net/1820/6273.

MLA Handbook (7th Edition):

Bartelts-Schilt, Marleen. “Sturen op Optimale Motivatie in Leernetwerken voor Professioneel Leren .” 2015. Web. 23 Oct 2019.

Vancouver:

Bartelts-Schilt M. Sturen op Optimale Motivatie in Leernetwerken voor Professioneel Leren . [Internet] [Masters thesis]. Open Universiteit Nederland; 2015. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1820/6273.

Council of Science Editors:

Bartelts-Schilt M. Sturen op Optimale Motivatie in Leernetwerken voor Professioneel Leren . [Masters Thesis]. Open Universiteit Nederland; 2015. Available from: http://hdl.handle.net/1820/6273


University of Waterloo

4. Tang, Yichuan. Robust Visual Recognition Using Multilayer Generative Neural Networks.

Degree: 2010, University of Waterloo

 Deep generative neural networks such as the Deep Belief Network and Deep Boltzmann Machines have been used successfully to model high dimensional visual data. However,… (more)

Subjects/Keywords: Neural Networks; Deep Learning

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APA (6th Edition):

Tang, Y. (2010). Robust Visual Recognition Using Multilayer Generative Neural Networks. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5376

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):

Tang, Yichuan. “Robust Visual Recognition Using Multilayer Generative Neural Networks.” 2010. Thesis, University of Waterloo. Accessed October 23, 2019. http://hdl.handle.net/10012/5376.

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

MLA Handbook (7th Edition):

Tang, Yichuan. “Robust Visual Recognition Using Multilayer Generative Neural Networks.” 2010. Web. 23 Oct 2019.

Vancouver:

Tang Y. Robust Visual Recognition Using Multilayer Generative Neural Networks. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10012/5376.

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

Council of Science Editors:

Tang Y. Robust Visual Recognition Using Multilayer Generative Neural Networks. [Thesis]. University of Waterloo; 2010. Available from: http://hdl.handle.net/10012/5376

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


University of Illinois – Urbana-Champaign

5. Liang, Shiyu. Why deep neural networks for function approximation.

Degree: MS, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 Recently there has been much interest in understanding why deep neural networks are preferred to shallow networks. We show that, for a large class of… (more)

Subjects/Keywords: Neural networks; Deep learning

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

APA (6th Edition):

Liang, S. (2017). Why deep neural networks for function approximation. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99417

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):

Liang, Shiyu. “Why deep neural networks for function approximation.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed October 23, 2019. http://hdl.handle.net/2142/99417.

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

MLA Handbook (7th Edition):

Liang, Shiyu. “Why deep neural networks for function approximation.” 2017. Web. 23 Oct 2019.

Vancouver:

Liang S. Why deep neural networks for function approximation. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/2142/99417.

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

Council of Science Editors:

Liang S. Why deep neural networks for function approximation. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99417

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


University of Toronto

6. Liu, Chen. Probabilistic Siamese Networks for Learning Representations.

Degree: 2013, University of Toronto

We explore the training of deep neural networks to produce vector representations using weakly labelled information in the form of binary similarity labels for pairs… (more)

Subjects/Keywords: Machine Learning; Neural Networks; 0544

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APA (6th Edition):

Liu, C. (2013). Probabilistic Siamese Networks for Learning Representations. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/43097

Chicago Manual of Style (16th Edition):

Liu, Chen. “Probabilistic Siamese Networks for Learning Representations.” 2013. Masters Thesis, University of Toronto. Accessed October 23, 2019. http://hdl.handle.net/1807/43097.

MLA Handbook (7th Edition):

Liu, Chen. “Probabilistic Siamese Networks for Learning Representations.” 2013. Web. 23 Oct 2019.

Vancouver:

Liu C. Probabilistic Siamese Networks for Learning Representations. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1807/43097.

Council of Science Editors:

Liu C. Probabilistic Siamese Networks for Learning Representations. [Masters Thesis]. University of Toronto; 2013. Available from: http://hdl.handle.net/1807/43097


University of Texas – Austin

7. -5777-2824. A study of generative adversarial networks and possible extensions of GANs.

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

 The goal of our research is to explore the power of generative adversarial networks (GANs). We take a review of deep learning and many extended… (more)

Subjects/Keywords: Deep learning; Generative adversarial networks

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APA (6th Edition):

-5777-2824. (2017). A study of generative adversarial networks and possible extensions of GANs. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/61664

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

Chicago Manual of Style (16th Edition):

-5777-2824. “A study of generative adversarial networks and possible extensions of GANs.” 2017. Masters Thesis, University of Texas – Austin. Accessed October 23, 2019. http://hdl.handle.net/2152/61664.

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

MLA Handbook (7th Edition):

-5777-2824. “A study of generative adversarial networks and possible extensions of GANs.” 2017. Web. 23 Oct 2019.

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

Vancouver:

-5777-2824. A study of generative adversarial networks and possible extensions of GANs. [Internet] [Masters thesis]. University of Texas – Austin; 2017. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/2152/61664.

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

Council of Science Editors:

-5777-2824. A study of generative adversarial networks and possible extensions of GANs. [Masters Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/61664

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


Cornell University

8. Sedra, Daniel. Training Paradigms For Deep Residual Networks .

Degree: 2016, Cornell University

 Convolutional networks are the current state of the art for image tasks. It has long been known that depth is key for increasing their expressive… (more)

Subjects/Keywords: deep learning; machine learning; deep residual networks

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

APA (6th Edition):

Sedra, D. (2016). Training Paradigms For Deep Residual Networks . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/44294

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):

Sedra, Daniel. “Training Paradigms For Deep Residual Networks .” 2016. Thesis, Cornell University. Accessed October 23, 2019. http://hdl.handle.net/1813/44294.

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

MLA Handbook (7th Edition):

Sedra, Daniel. “Training Paradigms For Deep Residual Networks .” 2016. Web. 23 Oct 2019.

Vancouver:

Sedra D. Training Paradigms For Deep Residual Networks . [Internet] [Thesis]. Cornell University; 2016. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1813/44294.

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

Council of Science Editors:

Sedra D. Training Paradigms For Deep Residual Networks . [Thesis]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/44294

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


University of Illinois – Urbana-Champaign

9. Song, Myung Hwan. Trainability and generalization of small-scale neural networks.

Degree: MS, Industrial Engineering, 2019, University of Illinois – Urbana-Champaign

 As deep learning has become solution for various machine learning, artificial intelligence applications, their architectures have been developed accordingly. Modern deep learning applications often use… (more)

Subjects/Keywords: Deep Learning; Neural Networks; Learning Theory

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APA (6th Edition):

Song, M. H. (2019). Trainability and generalization of small-scale neural networks. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104821

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):

Song, Myung Hwan. “Trainability and generalization of small-scale neural networks.” 2019. Thesis, University of Illinois – Urbana-Champaign. Accessed October 23, 2019. http://hdl.handle.net/2142/104821.

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

MLA Handbook (7th Edition):

Song, Myung Hwan. “Trainability and generalization of small-scale neural networks.” 2019. Web. 23 Oct 2019.

Vancouver:

Song MH. Trainability and generalization of small-scale neural networks. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2019. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/2142/104821.

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

Council of Science Editors:

Song MH. Trainability and generalization of small-scale neural networks. [Thesis]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104821

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


University of Waterloo

10. Caterini, Anthony. A Novel Mathematical Framework for the Analysis of Neural Networks.

Degree: 2017, University of Waterloo

 Over the past decade, Deep Neural Networks (DNNs) have become very popular models for processing large amounts of data because of their successful application in… (more)

Subjects/Keywords: Neural Networks; Convolutional Neural Networks; Deep Neural Networks; Machine Learning; Recurrent Neural Networks

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APA (6th Edition):

Caterini, A. (2017). A Novel Mathematical Framework for the Analysis of Neural Networks. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/12173

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):

Caterini, Anthony. “A Novel Mathematical Framework for the Analysis of Neural Networks.” 2017. Thesis, University of Waterloo. Accessed October 23, 2019. http://hdl.handle.net/10012/12173.

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

MLA Handbook (7th Edition):

Caterini, Anthony. “A Novel Mathematical Framework for the Analysis of Neural Networks.” 2017. Web. 23 Oct 2019.

Vancouver:

Caterini A. A Novel Mathematical Framework for the Analysis of Neural Networks. [Internet] [Thesis]. University of Waterloo; 2017. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10012/12173.

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

Council of Science Editors:

Caterini A. A Novel Mathematical Framework for the Analysis of Neural Networks. [Thesis]. University of Waterloo; 2017. Available from: http://hdl.handle.net/10012/12173

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


University of Ottawa

11. Otoum, Safa. Machine Learning-driven Intrusion Detection Techniques in Critical Infrastructures Monitored by Sensor Networks .

Degree: 2019, University of Ottawa

 In most of critical infrastructures, Wireless Sensor Networks (WSNs) are deployed due to their low-cost, flexibility and efficiency as well as their wide usage in… (more)

Subjects/Keywords: Wireless Sensor Networks (WSNs); Networks security; Deep Learning; Machine Learning; Reinforcement Learning; Intrusion Detection System

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APA (6th Edition):

Otoum, S. (2019). Machine Learning-driven Intrusion Detection Techniques in Critical Infrastructures Monitored by Sensor Networks . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/39090

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):

Otoum, Safa. “Machine Learning-driven Intrusion Detection Techniques in Critical Infrastructures Monitored by Sensor Networks .” 2019. Thesis, University of Ottawa. Accessed October 23, 2019. http://hdl.handle.net/10393/39090.

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

MLA Handbook (7th Edition):

Otoum, Safa. “Machine Learning-driven Intrusion Detection Techniques in Critical Infrastructures Monitored by Sensor Networks .” 2019. Web. 23 Oct 2019.

Vancouver:

Otoum S. Machine Learning-driven Intrusion Detection Techniques in Critical Infrastructures Monitored by Sensor Networks . [Internet] [Thesis]. University of Ottawa; 2019. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10393/39090.

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

Council of Science Editors:

Otoum S. Machine Learning-driven Intrusion Detection Techniques in Critical Infrastructures Monitored by Sensor Networks . [Thesis]. University of Ottawa; 2019. Available from: http://hdl.handle.net/10393/39090

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


Rochester Institute of Technology

12. Pandit, Tej. Relational Neurogenesis for Lifelong Learning Agents.

Degree: MS, Computer Engineering, 2019, Rochester Institute of Technology

  Reinforcement learning systems have shown tremendous potential in being able to model meritorious behavior in virtual agents and robots. The ability to learn through… (more)

Subjects/Keywords: Artificial intelligence; Continual learning; Lifelong learning; Neural networks; Neurogenesis; Reinforcement learning

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APA (6th Edition):

Pandit, T. (2019). Relational Neurogenesis for Lifelong Learning Agents. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10096

Chicago Manual of Style (16th Edition):

Pandit, Tej. “Relational Neurogenesis for Lifelong Learning Agents.” 2019. Masters Thesis, Rochester Institute of Technology. Accessed October 23, 2019. https://scholarworks.rit.edu/theses/10096.

MLA Handbook (7th Edition):

Pandit, Tej. “Relational Neurogenesis for Lifelong Learning Agents.” 2019. Web. 23 Oct 2019.

Vancouver:

Pandit T. Relational Neurogenesis for Lifelong Learning Agents. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2019 Oct 23]. Available from: https://scholarworks.rit.edu/theses/10096.

Council of Science Editors:

Pandit T. Relational Neurogenesis for Lifelong Learning Agents. [Masters Thesis]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10096


Colorado State University

13. Elliott, Daniel L. Wisdom of the crowd : reliable deep reinforcement learning through ensembles of Q-functions, The.

Degree: PhD, Computer Science, 2018, Colorado State University

 Reinforcement learning agents learn by exploring the environment and then exploiting what they have learned. This frees the human trainers from having to know the… (more)

Subjects/Keywords: machine learning; Q-learning; ensemble; reinforcement learning; neural networks

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APA (6th Edition):

Elliott, D. L. (2018). Wisdom of the crowd : reliable deep reinforcement learning through ensembles of Q-functions, The. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/191477

Chicago Manual of Style (16th Edition):

Elliott, Daniel L. “Wisdom of the crowd : reliable deep reinforcement learning through ensembles of Q-functions, The.” 2018. Doctoral Dissertation, Colorado State University. Accessed October 23, 2019. http://hdl.handle.net/10217/191477.

MLA Handbook (7th Edition):

Elliott, Daniel L. “Wisdom of the crowd : reliable deep reinforcement learning through ensembles of Q-functions, The.” 2018. Web. 23 Oct 2019.

Vancouver:

Elliott DL. Wisdom of the crowd : reliable deep reinforcement learning through ensembles of Q-functions, The. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10217/191477.

Council of Science Editors:

Elliott DL. Wisdom of the crowd : reliable deep reinforcement learning through ensembles of Q-functions, The. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/191477


University of Limerick

14. Shinners, Eoin. The impact of a social learning network on teaching and learning of history at junior certificate in a rural secondary school - a case study.

Degree: 2013, University of Limerick

non-peer-reviewed

We live a changing society where information technologies have become an integral part of society. The emergence of social media networks or Web 2.0… (more)

Subjects/Keywords: social learning networks; teaching; history; education

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APA (6th Edition):

Shinners, E. (2013). The impact of a social learning network on teaching and learning of history at junior certificate in a rural secondary school - a case study. (Thesis). University of Limerick. Retrieved from http://hdl.handle.net/10344/3584

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):

Shinners, Eoin. “The impact of a social learning network on teaching and learning of history at junior certificate in a rural secondary school - a case study.” 2013. Thesis, University of Limerick. Accessed October 23, 2019. http://hdl.handle.net/10344/3584.

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

MLA Handbook (7th Edition):

Shinners, Eoin. “The impact of a social learning network on teaching and learning of history at junior certificate in a rural secondary school - a case study.” 2013. Web. 23 Oct 2019.

Vancouver:

Shinners E. The impact of a social learning network on teaching and learning of history at junior certificate in a rural secondary school - a case study. [Internet] [Thesis]. University of Limerick; 2013. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10344/3584.

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

Council of Science Editors:

Shinners E. The impact of a social learning network on teaching and learning of history at junior certificate in a rural secondary school - a case study. [Thesis]. University of Limerick; 2013. Available from: http://hdl.handle.net/10344/3584

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


Texas A&M University

15. Thothathri, Visvanathan. MAFIA: Malicious Facebook Page Identification.

Degree: 2016, Texas A&M University

 Facebook has been a host to many different attack vectors, such as malicious apps that use their permissions to spread malware and compromise user accounts… (more)

Subjects/Keywords: Security; Social Networks; Facebook; Machine Learning

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APA (6th Edition):

Thothathri, V. (2016). MAFIA: Malicious Facebook Page Identification. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158701

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):

Thothathri, Visvanathan. “MAFIA: Malicious Facebook Page Identification.” 2016. Thesis, Texas A&M University. Accessed October 23, 2019. http://hdl.handle.net/1969.1/158701.

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

MLA Handbook (7th Edition):

Thothathri, Visvanathan. “MAFIA: Malicious Facebook Page Identification.” 2016. Web. 23 Oct 2019.

Vancouver:

Thothathri V. MAFIA: Malicious Facebook Page Identification. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1969.1/158701.

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

Council of Science Editors:

Thothathri V. MAFIA: Malicious Facebook Page Identification. [Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158701

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

16. de Castro Callado, Arthur. Traffic identification in IP networks .

Degree: 2009, Universidade Federal de Pernambuco

 A análise e identificação de tráfego em redes IP ainda é algo muito dependente da interação e expertise humana. A compreensão da composição e dinâmica… (more)

Subjects/Keywords: Computer networks; traffic identification; machine learning

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

APA (6th Edition):

de Castro Callado, A. (2009). Traffic identification in IP networks . (Thesis). Universidade Federal de Pernambuco. Retrieved from http://repositorio.ufpe.br/handle/123456789/1351

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):

de Castro Callado, Arthur. “Traffic identification in IP networks .” 2009. Thesis, Universidade Federal de Pernambuco. Accessed October 23, 2019. http://repositorio.ufpe.br/handle/123456789/1351.

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

MLA Handbook (7th Edition):

de Castro Callado, Arthur. “Traffic identification in IP networks .” 2009. Web. 23 Oct 2019.

Vancouver:

de Castro Callado A. Traffic identification in IP networks . [Internet] [Thesis]. Universidade Federal de Pernambuco; 2009. [cited 2019 Oct 23]. Available from: http://repositorio.ufpe.br/handle/123456789/1351.

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

Council of Science Editors:

de Castro Callado A. Traffic identification in IP networks . [Thesis]. Universidade Federal de Pernambuco; 2009. Available from: http://repositorio.ufpe.br/handle/123456789/1351

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


University of Tennessee – Knoxville

17. Auerbach, Jeremy David. Essays in network theory applications for transportation planning.

Degree: 2018, University of Tennessee – Knoxville

 Throughout the dissertation, network methods are developed to address pressing issues in transportation science and geography. These methods are applied to case studies to highlight… (more)

Subjects/Keywords: Networks; Transportation; Planning; Machine Learning; Optimization; Complexity

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APA (6th Edition):

Auerbach, J. D. (2018). Essays in network theory applications for transportation planning. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/5027

Chicago Manual of Style (16th Edition):

Auerbach, Jeremy David. “Essays in network theory applications for transportation planning.” 2018. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed October 23, 2019. https://trace.tennessee.edu/utk_graddiss/5027.

MLA Handbook (7th Edition):

Auerbach, Jeremy David. “Essays in network theory applications for transportation planning.” 2018. Web. 23 Oct 2019.

Vancouver:

Auerbach JD. Essays in network theory applications for transportation planning. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2018. [cited 2019 Oct 23]. Available from: https://trace.tennessee.edu/utk_graddiss/5027.

Council of Science Editors:

Auerbach JD. Essays in network theory applications for transportation planning. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2018. Available from: https://trace.tennessee.edu/utk_graddiss/5027


University of Victoria

18. Mehrnejad, Marzieh. Towards robust identification of slow moving animals in deep-sea imagery by integrating shape and appearance cues.

Degree: Department of Electrical and Computer Engineering, 2015, University of Victoria

 Underwater video data are a rich source of information for marine biologists. However, the large amount of recorded video creates a ’big data’ problem, which… (more)

Subjects/Keywords: Computer Vision; Classification; Neural Networks; Machine Learning

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

APA (6th Edition):

Mehrnejad, M. (2015). Towards robust identification of slow moving animals in deep-sea imagery by integrating shape and appearance cues. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/6439

Chicago Manual of Style (16th Edition):

Mehrnejad, Marzieh. “Towards robust identification of slow moving animals in deep-sea imagery by integrating shape and appearance cues.” 2015. Masters Thesis, University of Victoria. Accessed October 23, 2019. http://hdl.handle.net/1828/6439.

MLA Handbook (7th Edition):

Mehrnejad, Marzieh. “Towards robust identification of slow moving animals in deep-sea imagery by integrating shape and appearance cues.” 2015. Web. 23 Oct 2019.

Vancouver:

Mehrnejad M. Towards robust identification of slow moving animals in deep-sea imagery by integrating shape and appearance cues. [Internet] [Masters thesis]. University of Victoria; 2015. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1828/6439.

Council of Science Editors:

Mehrnejad M. Towards robust identification of slow moving animals in deep-sea imagery by integrating shape and appearance cues. [Masters Thesis]. University of Victoria; 2015. Available from: http://hdl.handle.net/1828/6439


University of Victoria

19. Wang, Hongrui. Online intrusion detection design and implementation for SCADA networks.

Degree: Department of Electrical and Computer Engineering, 2017, University of Victoria

 The standardization and interconnection of supervisory control and data acquisition (SCADA) systems has exposed the systems to cyber attacks. To improve the security of the… (more)

Subjects/Keywords: Intrusion detection; SCADA networks; Machine learning

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

APA (6th Edition):

Wang, H. (2017). Online intrusion detection design and implementation for SCADA networks. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7984

Chicago Manual of Style (16th Edition):

Wang, Hongrui. “Online intrusion detection design and implementation for SCADA networks.” 2017. Masters Thesis, University of Victoria. Accessed October 23, 2019. http://hdl.handle.net/1828/7984.

MLA Handbook (7th Edition):

Wang, Hongrui. “Online intrusion detection design and implementation for SCADA networks.” 2017. Web. 23 Oct 2019.

Vancouver:

Wang H. Online intrusion detection design and implementation for SCADA networks. [Internet] [Masters thesis]. University of Victoria; 2017. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1828/7984.

Council of Science Editors:

Wang H. Online intrusion detection design and implementation for SCADA networks. [Masters Thesis]. University of Victoria; 2017. Available from: http://hdl.handle.net/1828/7984


University of Illinois – Chicago

20. Lessner, Jonathan P. Neural Network Design via Evolutionary Programming: Discovering Relevant Inputs and Optimal Configuration.

Degree: 2015, University of Illinois – Chicago

 Neural Networks, capable of accurate prediction over complex domains, learn subtle correlations between disparate data streams in a non-linear way. This is both their greatest… (more)

Subjects/Keywords: Evolutionary Programming; Neural Networks; Machine Learning

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APA (6th Edition):

Lessner, J. P. (2015). Neural Network Design via Evolutionary Programming: Discovering Relevant Inputs and Optimal Configuration. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/19329

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):

Lessner, Jonathan P. “Neural Network Design via Evolutionary Programming: Discovering Relevant Inputs and Optimal Configuration.” 2015. Thesis, University of Illinois – Chicago. Accessed October 23, 2019. http://hdl.handle.net/10027/19329.

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

MLA Handbook (7th Edition):

Lessner, Jonathan P. “Neural Network Design via Evolutionary Programming: Discovering Relevant Inputs and Optimal Configuration.” 2015. Web. 23 Oct 2019.

Vancouver:

Lessner JP. Neural Network Design via Evolutionary Programming: Discovering Relevant Inputs and Optimal Configuration. [Internet] [Thesis]. University of Illinois – Chicago; 2015. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10027/19329.

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

Council of Science Editors:

Lessner JP. Neural Network Design via Evolutionary Programming: Discovering Relevant Inputs and Optimal Configuration. [Thesis]. University of Illinois – Chicago; 2015. Available from: http://hdl.handle.net/10027/19329

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


University of Adelaide

21. Zhang, Junjie. Deep learning for multi-label scene classification.

Degree: 2016, University of Adelaide

 Scene classification is an important topic in computer vision. For similar weather conditions, there are some obstacles for extracting features from outdoor images. In this… (more)

Subjects/Keywords: deep learning; classification; neural networks; multi-label

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

APA (6th Edition):

Zhang, J. (2016). Deep learning for multi-label scene classification. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/103473

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, Junjie. “Deep learning for multi-label scene classification.” 2016. Thesis, University of Adelaide. Accessed October 23, 2019. http://hdl.handle.net/2440/103473.

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

MLA Handbook (7th Edition):

Zhang, Junjie. “Deep learning for multi-label scene classification.” 2016. Web. 23 Oct 2019.

Vancouver:

Zhang J. Deep learning for multi-label scene classification. [Internet] [Thesis]. University of Adelaide; 2016. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/2440/103473.

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

Council of Science Editors:

Zhang J. Deep learning for multi-label scene classification. [Thesis]. University of Adelaide; 2016. Available from: http://hdl.handle.net/2440/103473

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

22. Vikström, Filip. A recurrent neural network approach to quantification of risks surrounding the Swedish property market.

Degree: Mathematics and Mathematical Statistics, 2016, Umeå University

  As the real estate market plays a central role in a countries financial situation, as a life insurer, a bank and a property developer,… (more)

Subjects/Keywords: Artificial neural networks; Machine learning; RNN

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APA (6th Edition):

Vikström, F. (2016). A recurrent neural network approach to quantification of risks surrounding the Swedish property market. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126192

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):

Vikström, Filip. “A recurrent neural network approach to quantification of risks surrounding the Swedish property market.” 2016. Thesis, Umeå University. Accessed October 23, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126192.

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

MLA Handbook (7th Edition):

Vikström, Filip. “A recurrent neural network approach to quantification of risks surrounding the Swedish property market.” 2016. Web. 23 Oct 2019.

Vancouver:

Vikström F. A recurrent neural network approach to quantification of risks surrounding the Swedish property market. [Internet] [Thesis]. Umeå University; 2016. [cited 2019 Oct 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126192.

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

Council of Science Editors:

Vikström F. A recurrent neural network approach to quantification of risks surrounding the Swedish property market. [Thesis]. Umeå University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126192

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

23. Zeltner, Felix. Autonomous Terrain Classification Through Unsupervised Learning.

Degree: Electrical and Space Engineering, 2016, Luleå University of Technology

  A key component of autonomous outdoor navigation in unstructured environments is the classification of terrain. Recent development in the area of machine learning show… (more)

Subjects/Keywords: Terrain Classification; Unsupervised Learning; Robotics; Neural Networks

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

APA (6th Edition):

Zeltner, F. (2016). Autonomous Terrain Classification Through Unsupervised Learning. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-60893

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):

Zeltner, Felix. “Autonomous Terrain Classification Through Unsupervised Learning.” 2016. Thesis, Luleå University of Technology. Accessed October 23, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-60893.

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

MLA Handbook (7th Edition):

Zeltner, Felix. “Autonomous Terrain Classification Through Unsupervised Learning.” 2016. Web. 23 Oct 2019.

Vancouver:

Zeltner F. Autonomous Terrain Classification Through Unsupervised Learning. [Internet] [Thesis]. Luleå University of Technology; 2016. [cited 2019 Oct 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-60893.

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

Council of Science Editors:

Zeltner F. Autonomous Terrain Classification Through Unsupervised Learning. [Thesis]. Luleå University of Technology; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-60893

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


Mississippi State University

24. Malone, Brandon. Learning optimal Bayesian networks with heuristic search.

Degree: PhD, Computer Science and Engineering, 2012, Mississippi State University

  Bayesian networks are a widely used graphical model which formalize reasoning under uncertainty. Unfortunately, construction of a Bayesian network by an expert is timeconsuming,… (more)

Subjects/Keywords: machine learning; heuristic search; Bayesian networks

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

APA (6th Edition):

Malone, B. (2012). Learning optimal Bayesian networks with heuristic search. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-06202012-144942/ ;

Chicago Manual of Style (16th Edition):

Malone, Brandon. “Learning optimal Bayesian networks with heuristic search.” 2012. Doctoral Dissertation, Mississippi State University. Accessed October 23, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-06202012-144942/ ;.

MLA Handbook (7th Edition):

Malone, Brandon. “Learning optimal Bayesian networks with heuristic search.” 2012. Web. 23 Oct 2019.

Vancouver:

Malone B. Learning optimal Bayesian networks with heuristic search. [Internet] [Doctoral dissertation]. Mississippi State University; 2012. [cited 2019 Oct 23]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06202012-144942/ ;.

Council of Science Editors:

Malone B. Learning optimal Bayesian networks with heuristic search. [Doctoral Dissertation]. Mississippi State University; 2012. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06202012-144942/ ;

25. Walker, Michael Luke. Application of bayesian networks to a longitudinal asthma study.

Degree: 2016, University of Melbourne

 Asthma is a highly prevalent and often serious condition causing significant illness and sometimes death. It typically consumes between 1-3% of the medical budget in… (more)

Subjects/Keywords: bayesian networks; machine learning; asthma; statistics

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APA (6th Edition):

Walker, M. L. (2016). Application of bayesian networks to a longitudinal asthma study. (Masters Thesis). University of Melbourne. Retrieved from http://hdl.handle.net/11343/130061

Chicago Manual of Style (16th Edition):

Walker, Michael Luke. “Application of bayesian networks to a longitudinal asthma study.” 2016. Masters Thesis, University of Melbourne. Accessed October 23, 2019. http://hdl.handle.net/11343/130061.

MLA Handbook (7th Edition):

Walker, Michael Luke. “Application of bayesian networks to a longitudinal asthma study.” 2016. Web. 23 Oct 2019.

Vancouver:

Walker ML. Application of bayesian networks to a longitudinal asthma study. [Internet] [Masters thesis]. University of Melbourne; 2016. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/11343/130061.

Council of Science Editors:

Walker ML. Application of bayesian networks to a longitudinal asthma study. [Masters Thesis]. University of Melbourne; 2016. Available from: http://hdl.handle.net/11343/130061


University of Bridgeport

26. Kaur, Tanveen. Study of deep learning approaches to face recognition and object detection YOLO .

Degree: 2019, University of Bridgeport

 In this research, I have focused on deep learning approaches to face detection and recognition and object detection and recognition. This research has mainly focused… (more)

Subjects/Keywords: Deep learning; Facial detection; Neural networks

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

APA (6th Edition):

Kaur, T. (2019). Study of deep learning approaches to face recognition and object detection YOLO . (Thesis). University of Bridgeport. Retrieved from https://scholarworks.bridgeport.edu/xmlui/handle/123456789/3965

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):

Kaur, Tanveen. “Study of deep learning approaches to face recognition and object detection YOLO .” 2019. Thesis, University of Bridgeport. Accessed October 23, 2019. https://scholarworks.bridgeport.edu/xmlui/handle/123456789/3965.

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

MLA Handbook (7th Edition):

Kaur, Tanveen. “Study of deep learning approaches to face recognition and object detection YOLO .” 2019. Web. 23 Oct 2019.

Vancouver:

Kaur T. Study of deep learning approaches to face recognition and object detection YOLO . [Internet] [Thesis]. University of Bridgeport; 2019. [cited 2019 Oct 23]. Available from: https://scholarworks.bridgeport.edu/xmlui/handle/123456789/3965.

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

Council of Science Editors:

Kaur T. Study of deep learning approaches to face recognition and object detection YOLO . [Thesis]. University of Bridgeport; 2019. Available from: https://scholarworks.bridgeport.edu/xmlui/handle/123456789/3965

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


California State University – Sacramento

27. Wani, Gaurav Dilip. Text normalization for speech recognition using deep learning.

Degree: MS, Computer Science, 2019, California State University – Sacramento

 In 21st century it has become a norm that companies are using virtual assistants such as Siri, Google assistant or Alexa to resolve many problems… (more)

Subjects/Keywords: LSTM; GRU; Neural networks; Deep learning

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

APA (6th Edition):

Wani, G. D. (2019). Text normalization for speech recognition using deep learning. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/207676

Chicago Manual of Style (16th Edition):

Wani, Gaurav Dilip. “Text normalization for speech recognition using deep learning.” 2019. Masters Thesis, California State University – Sacramento. Accessed October 23, 2019. http://hdl.handle.net/10211.3/207676.

MLA Handbook (7th Edition):

Wani, Gaurav Dilip. “Text normalization for speech recognition using deep learning.” 2019. Web. 23 Oct 2019.

Vancouver:

Wani GD. Text normalization for speech recognition using deep learning. [Internet] [Masters thesis]. California State University – Sacramento; 2019. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10211.3/207676.

Council of Science Editors:

Wani GD. Text normalization for speech recognition using deep learning. [Masters Thesis]. California State University – Sacramento; 2019. Available from: http://hdl.handle.net/10211.3/207676


Mississippi State University

28. Ervin, Jason Nathaniel. A network-based method for the analysis of use and function in stone tool kits: Implications for Late Prehistoric settlement patterning in northeast Mississippi.

Degree: MA, Anthropology and Middle Eastern Cultures, 2018, Mississippi State University

  A network-based method is developed for analyzing use in stone tool assemblages, where 'use' denotes the tasks for which chipped edges are suitable. Modeling… (more)

Subjects/Keywords: cultural evolution; social learning; networks; lithics

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APA (6th Edition):

Ervin, J. N. (2018). A network-based method for the analysis of use and function in stone tool kits: Implications for Late Prehistoric settlement patterning in northeast Mississippi. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-05072018-121655/ ;

Chicago Manual of Style (16th Edition):

Ervin, Jason Nathaniel. “A network-based method for the analysis of use and function in stone tool kits: Implications for Late Prehistoric settlement patterning in northeast Mississippi.” 2018. Masters Thesis, Mississippi State University. Accessed October 23, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-05072018-121655/ ;.

MLA Handbook (7th Edition):

Ervin, Jason Nathaniel. “A network-based method for the analysis of use and function in stone tool kits: Implications for Late Prehistoric settlement patterning in northeast Mississippi.” 2018. Web. 23 Oct 2019.

Vancouver:

Ervin JN. A network-based method for the analysis of use and function in stone tool kits: Implications for Late Prehistoric settlement patterning in northeast Mississippi. [Internet] [Masters thesis]. Mississippi State University; 2018. [cited 2019 Oct 23]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-05072018-121655/ ;.

Council of Science Editors:

Ervin JN. A network-based method for the analysis of use and function in stone tool kits: Implications for Late Prehistoric settlement patterning in northeast Mississippi. [Masters Thesis]. Mississippi State University; 2018. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-05072018-121655/ ;


Vanderbilt University

29. Paul, Justin Stuart. Deep Learning for Brain Tumor Classification.

Degree: MS, Computer Science, 2016, Vanderbilt University

 Deep learning has been used successfully in supervised classification tasks in order to learn complex patterns. The purpose of the study is to apply this… (more)

Subjects/Keywords: deep learning; convolutional neural networks; overfitting

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

APA (6th Edition):

Paul, J. S. (2016). Deep Learning for Brain Tumor Classification. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-04112016-224926/ ;

Chicago Manual of Style (16th Edition):

Paul, Justin Stuart. “Deep Learning for Brain Tumor Classification.” 2016. Masters Thesis, Vanderbilt University. Accessed October 23, 2019. http://etd.library.vanderbilt.edu/available/etd-04112016-224926/ ;.

MLA Handbook (7th Edition):

Paul, Justin Stuart. “Deep Learning for Brain Tumor Classification.” 2016. Web. 23 Oct 2019.

Vancouver:

Paul JS. Deep Learning for Brain Tumor Classification. [Internet] [Masters thesis]. Vanderbilt University; 2016. [cited 2019 Oct 23]. Available from: http://etd.library.vanderbilt.edu/available/etd-04112016-224926/ ;.

Council of Science Editors:

Paul JS. Deep Learning for Brain Tumor Classification. [Masters Thesis]. Vanderbilt University; 2016. Available from: http://etd.library.vanderbilt.edu/available/etd-04112016-224926/ ;


University of Toronto

30. Guo, Wenzhangzhi. Hair Segmentation using Heuristically-trained Neural Networks.

Degree: 2016, University of Toronto

We present a method for binary classification using neural networks that performs training and classification on the same data using the help of a pre-training… (more)

Subjects/Keywords: hair segmentation; machine learning; neural networks; 0800

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

APA (6th Edition):

Guo, W. (2016). Hair Segmentation using Heuristically-trained Neural Networks. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/72673

Chicago Manual of Style (16th Edition):

Guo, Wenzhangzhi. “Hair Segmentation using Heuristically-trained Neural Networks.” 2016. Masters Thesis, University of Toronto. Accessed October 23, 2019. http://hdl.handle.net/1807/72673.

MLA Handbook (7th Edition):

Guo, Wenzhangzhi. “Hair Segmentation using Heuristically-trained Neural Networks.” 2016. Web. 23 Oct 2019.

Vancouver:

Guo W. Hair Segmentation using Heuristically-trained Neural Networks. [Internet] [Masters thesis]. University of Toronto; 2016. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1807/72673.

Council of Science Editors:

Guo W. Hair Segmentation using Heuristically-trained Neural Networks. [Masters Thesis]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/72673

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