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You searched for subject:(Distributed learning system). Showing records 1 – 23 of 23 total matches.

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Carnegie Mellon University

1. Dai, Wei. Learning with Staleness.

Degree: 2018, Carnegie Mellon University

 A fundamental assumption behind most machine learning (ML) algorithms and analyses is the sequential execution. That is, any update to the ML model can be… (more)

Subjects/Keywords: Large Scale Machine Learning; Distributed Optimization Method; Distributed System; Parameter Server

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APA (6th Edition):

Dai, W. (2018). Learning with Staleness. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1209

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):

Dai, Wei. “Learning with Staleness.” 2018. Thesis, Carnegie Mellon University. Accessed September 16, 2019. http://repository.cmu.edu/dissertations/1209.

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

MLA Handbook (7th Edition):

Dai, Wei. “Learning with Staleness.” 2018. Web. 16 Sep 2019.

Vancouver:

Dai W. Learning with Staleness. [Internet] [Thesis]. Carnegie Mellon University; 2018. [cited 2019 Sep 16]. Available from: http://repository.cmu.edu/dissertations/1209.

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

Council of Science Editors:

Dai W. Learning with Staleness. [Thesis]. Carnegie Mellon University; 2018. Available from: http://repository.cmu.edu/dissertations/1209

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


University of Newcastle

2. Abed-Alguni, Bilal Hashem Kalil. Cooperative reinforcement learning for independent learners.

Degree: PhD, 2014, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

Machine learning in multi-agent domains poses several research challenges. One challenge is how to model cooperation between reinforcement… (more)

Subjects/Keywords: reinforcement learning; Q-learning; multi-agent system; distributed system; Markov decision process; factored Markov decision process; cooperation

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APA (6th Edition):

Abed-Alguni, B. H. K. (2014). Cooperative reinforcement learning for independent learners. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1052917

Chicago Manual of Style (16th Edition):

Abed-Alguni, Bilal Hashem Kalil. “Cooperative reinforcement learning for independent learners.” 2014. Doctoral Dissertation, University of Newcastle. Accessed September 16, 2019. http://hdl.handle.net/1959.13/1052917.

MLA Handbook (7th Edition):

Abed-Alguni, Bilal Hashem Kalil. “Cooperative reinforcement learning for independent learners.” 2014. Web. 16 Sep 2019.

Vancouver:

Abed-Alguni BHK. Cooperative reinforcement learning for independent learners. [Internet] [Doctoral dissertation]. University of Newcastle; 2014. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/1959.13/1052917.

Council of Science Editors:

Abed-Alguni BHK. Cooperative reinforcement learning for independent learners. [Doctoral Dissertation]. University of Newcastle; 2014. Available from: http://hdl.handle.net/1959.13/1052917


Penn State University

3. Ahmadi, Hesamoddin. On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems.

Degree: PhD, Industrial Engineering, 2016, Penn State University

 This dissertation considers the resolution of three optimization problems. Of these, the first two problems are closely related and focus on solving optimization problems in… (more)

Subjects/Keywords: Optimization and learning; distributed optimization in power system; convex optimization; augmented Lagrangian

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APA (6th Edition):

Ahmadi, H. (2016). On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/29502

Chicago Manual of Style (16th Edition):

Ahmadi, Hesamoddin. “On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems.” 2016. Doctoral Dissertation, Penn State University. Accessed September 16, 2019. https://etda.libraries.psu.edu/catalog/29502.

MLA Handbook (7th Edition):

Ahmadi, Hesamoddin. “On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems.” 2016. Web. 16 Sep 2019.

Vancouver:

Ahmadi H. On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems. [Internet] [Doctoral dissertation]. Penn State University; 2016. [cited 2019 Sep 16]. Available from: https://etda.libraries.psu.edu/catalog/29502.

Council of Science Editors:

Ahmadi H. On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems. [Doctoral Dissertation]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/29502


University of Victoria

4. Yu, Boyang. On exploiting location flexibility in data-intensive distributed systems.

Degree: Department of Computer Science, 2016, University of Victoria

 With the fast growth of data-intensive distributed systems today, more novel and principled approaches are needed to improve the system efficiency, ensure the service quality… (more)

Subjects/Keywords: Distributed systems; Data storage; Cache cluster; Hypergraphs; Reinforcement learning; System optimization; Data placement; Auto-scaling

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APA (6th Edition):

Yu, B. (2016). On exploiting location flexibility in data-intensive distributed systems. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7602

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):

Yu, Boyang. “On exploiting location flexibility in data-intensive distributed systems.” 2016. Thesis, University of Victoria. Accessed September 16, 2019. http://hdl.handle.net/1828/7602.

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

MLA Handbook (7th Edition):

Yu, Boyang. “On exploiting location flexibility in data-intensive distributed systems.” 2016. Web. 16 Sep 2019.

Vancouver:

Yu B. On exploiting location flexibility in data-intensive distributed systems. [Internet] [Thesis]. University of Victoria; 2016. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/1828/7602.

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

Council of Science Editors:

Yu B. On exploiting location flexibility in data-intensive distributed systems. [Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7602

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


California State University – Sacramento

5. Shah, Paril. Mobile learning application : Android version.

Degree: MS, Computer Science, 2017, California State University – Sacramento

 Mobile Learning Application is an Android application that communicates with a server using RESTful API. The application provides a collaborative platform for administrators, instructors, and… (more)

Subjects/Keywords: Android; RESTful API; Sinch; VoIP call; 3-tier architecture; Model View Controller; Relational database; Distributed system; Learning management system (LMS)

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APA (6th Edition):

Shah, P. (2017). Mobile learning application : Android version. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/198634

Chicago Manual of Style (16th Edition):

Shah, Paril. “Mobile learning application : Android version.” 2017. Masters Thesis, California State University – Sacramento. Accessed September 16, 2019. http://hdl.handle.net/10211.3/198634.

MLA Handbook (7th Edition):

Shah, Paril. “Mobile learning application : Android version.” 2017. Web. 16 Sep 2019.

Vancouver:

Shah P. Mobile learning application : Android version. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/10211.3/198634.

Council of Science Editors:

Shah P. Mobile learning application : Android version. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/198634


University of Texas – Austin

6. -0333-3981. Model-based dynamic relaying for power system protection under uncertainty.

Degree: PhD, Electrical and Computer Engineering, 2019, University of Texas – Austin

 Several major cascading outages have involved mis-operation or mis-coordination of protective relays during stressed system conditions that resulted in a vulnerable network. Such stressed conditions… (more)

Subjects/Keywords: Power system protection; Power system fault analysis; Distributed generation; Supervised learning; Mixed-integer programming; Stochastic optimization

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APA (6th Edition):

-0333-3981. (2019). Model-based dynamic relaying for power system protection under uncertainty. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2692

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

Chicago Manual of Style (16th Edition):

-0333-3981. “Model-based dynamic relaying for power system protection under uncertainty.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed September 16, 2019. http://dx.doi.org/10.26153/tsw/2692.

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

MLA Handbook (7th Edition):

-0333-3981. “Model-based dynamic relaying for power system protection under uncertainty.” 2019. Web. 16 Sep 2019.

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

Vancouver:

-0333-3981. Model-based dynamic relaying for power system protection under uncertainty. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2019 Sep 16]. Available from: http://dx.doi.org/10.26153/tsw/2692.

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

Council of Science Editors:

-0333-3981. Model-based dynamic relaying for power system protection under uncertainty. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/2692

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


ETH Zürich

7. Mendler-Dünner, Celestine. System-Aware Algorithms For Machine Learning.

Degree: 2019, ETH Zürich

 The design of machine learning algorithms is often conducted in a system-agnostic manner. As a consequence, established methods may not be well aligned with the… (more)

Subjects/Keywords: machine learning; distributed algorithms; GPU acceleration; convex optimization; generalized linear models; heterogeneous system; snap machine learning; parallel algorithms

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APA (6th Edition):

Mendler-Dünner, C. (2019). System-Aware Algorithms For Machine Learning. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/341033

Chicago Manual of Style (16th Edition):

Mendler-Dünner, Celestine. “System-Aware Algorithms For Machine Learning.” 2019. Doctoral Dissertation, ETH Zürich. Accessed September 16, 2019. http://hdl.handle.net/20.500.11850/341033.

MLA Handbook (7th Edition):

Mendler-Dünner, Celestine. “System-Aware Algorithms For Machine Learning.” 2019. Web. 16 Sep 2019.

Vancouver:

Mendler-Dünner C. System-Aware Algorithms For Machine Learning. [Internet] [Doctoral dissertation]. ETH Zürich; 2019. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/20.500.11850/341033.

Council of Science Editors:

Mendler-Dünner C. System-Aware Algorithms For Machine Learning. [Doctoral Dissertation]. ETH Zürich; 2019. Available from: http://hdl.handle.net/20.500.11850/341033


University of Pretoria

8. Du Plessis, André. The role of the Head of Department in the professional development of educators.

Degree: MEd, Education Management and Policy Studies, 2014, University of Pretoria

 Undertaken from a distributed leadership theory perspective, this qualitative study attempts to gain understanding regarding how heads of department develop educators within the organisational context… (more)

Subjects/Keywords: Professional development; Distributed leadership; Integrated Quality Management System; Professional learning communities; Commitment of educators; UCTD; Mentoring; Coaching

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APA (6th Edition):

Du Plessis, A. (2014). The role of the Head of Department in the professional development of educators. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/43323

Chicago Manual of Style (16th Edition):

Du Plessis, André. “The role of the Head of Department in the professional development of educators.” 2014. Masters Thesis, University of Pretoria. Accessed September 16, 2019. http://hdl.handle.net/2263/43323.

MLA Handbook (7th Edition):

Du Plessis, André. “The role of the Head of Department in the professional development of educators.” 2014. Web. 16 Sep 2019.

Vancouver:

Du Plessis A. The role of the Head of Department in the professional development of educators. [Internet] [Masters thesis]. University of Pretoria; 2014. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/2263/43323.

Council of Science Editors:

Du Plessis A. The role of the Head of Department in the professional development of educators. [Masters Thesis]. University of Pretoria; 2014. Available from: http://hdl.handle.net/2263/43323


Penn State University

9. Zhang, Guangxuan. Making Sense of Conflict in Distributed Teams: A Design Science Approach.

Degree: PhD, Information Sciences and Technology, 2016, Penn State University

 Conflict is a substantial, pervasive activity in team collaboration. It may arise because of differences in goals, differences in ways of working, or interpersonal dissonance.… (more)

Subjects/Keywords: Conflict; Design Science; CM2; Conflict Management System; Argument Detection; Text Mining; Machine Learning; Distributed Team; Open-source Software Development

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APA (6th Edition):

Zhang, G. (2016). Making Sense of Conflict in Distributed Teams: A Design Science Approach. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/13180gyz5015

Chicago Manual of Style (16th Edition):

Zhang, Guangxuan. “Making Sense of Conflict in Distributed Teams: A Design Science Approach.” 2016. Doctoral Dissertation, Penn State University. Accessed September 16, 2019. https://etda.libraries.psu.edu/catalog/13180gyz5015.

MLA Handbook (7th Edition):

Zhang, Guangxuan. “Making Sense of Conflict in Distributed Teams: A Design Science Approach.” 2016. Web. 16 Sep 2019.

Vancouver:

Zhang G. Making Sense of Conflict in Distributed Teams: A Design Science Approach. [Internet] [Doctoral dissertation]. Penn State University; 2016. [cited 2019 Sep 16]. Available from: https://etda.libraries.psu.edu/catalog/13180gyz5015.

Council of Science Editors:

Zhang G. Making Sense of Conflict in Distributed Teams: A Design Science Approach. [Doctoral Dissertation]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/13180gyz5015


AUT University

10. Al Karim, Miftah. Development of a distributed machine learning platform with feature augmented attributes for power system service restoration .

Degree: AUT University

 Modern power systems are gradually adopting the philosophy of autonomous and distributed means of dynamic event detection processes, by facilitating system operation using intelligent algorithms.… (more)

Subjects/Keywords: Self-healing microgrid; Machine learning; Feature extraction; Distributed control; Power system operation

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APA (6th Edition):

Al Karim, M. (n.d.). Development of a distributed machine learning platform with feature augmented attributes for power system service restoration . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/11641

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Al Karim, Miftah. “Development of a distributed machine learning platform with feature augmented attributes for power system service restoration .” Thesis, AUT University. Accessed September 16, 2019. http://hdl.handle.net/10292/11641.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Al Karim, Miftah. “Development of a distributed machine learning platform with feature augmented attributes for power system service restoration .” Web. 16 Sep 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Al Karim M. Development of a distributed machine learning platform with feature augmented attributes for power system service restoration . [Internet] [Thesis]. AUT University; [cited 2019 Sep 16]. Available from: http://hdl.handle.net/10292/11641.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Al Karim M. Development of a distributed machine learning platform with feature augmented attributes for power system service restoration . [Thesis]. AUT University; Available from: http://hdl.handle.net/10292/11641

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


Northeastern University

11. Langford, Lyn Janice. Leading and learning: an exploratory study of teachers' experiences implementing change through a professional learning community.

Degree: EdD, School of Education, 2015, Northeastern University

 The purpose of this basic qualitative practice-based study was to explore teachers' experiences, as members of a PLC, tasked with the planning and implementation of… (more)

Subjects/Keywords: basic qualitative study; distributed leadership; PLCs; professional learning community; system change; teacher evaluation systems; Teachers; Rating of; Teacher effectiveness; Teaching; Evaluation; Professional learning communities; Organizational change; Educational change; School of Education

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APA (6th Edition):

Langford, L. J. (2015). Leading and learning: an exploratory study of teachers' experiences implementing change through a professional learning community. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20194032

Chicago Manual of Style (16th Edition):

Langford, Lyn Janice. “Leading and learning: an exploratory study of teachers' experiences implementing change through a professional learning community.” 2015. Doctoral Dissertation, Northeastern University. Accessed September 16, 2019. http://hdl.handle.net/2047/D20194032.

MLA Handbook (7th Edition):

Langford, Lyn Janice. “Leading and learning: an exploratory study of teachers' experiences implementing change through a professional learning community.” 2015. Web. 16 Sep 2019.

Vancouver:

Langford LJ. Leading and learning: an exploratory study of teachers' experiences implementing change through a professional learning community. [Internet] [Doctoral dissertation]. Northeastern University; 2015. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/2047/D20194032.

Council of Science Editors:

Langford LJ. Leading and learning: an exploratory study of teachers' experiences implementing change through a professional learning community. [Doctoral Dissertation]. Northeastern University; 2015. Available from: http://hdl.handle.net/2047/D20194032


University of Florida

12. Xu, Kaihe. Secure Collaborative Machine Learning in Big Data Systems.

Degree: PhD, Electrical and Computer Engineering, 2015, University of Florida

Machine learning has played an increasing important role in big data systems due Advisors/Committee Members: FANG,YUGUANG (committee chair), LI,XIAOLIN (committee member), CHEN,SHIGANG (committee member).

Subjects/Keywords: Collaborative learning; Datasets; Decision trees; Engines; Learning; Machine learning; Mathematical vectors; Mining; Optimal solutions; Social media; distributed  – learning  – machine  – privacy  – security  – system

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APA (6th Edition):

Xu, K. (2015). Secure Collaborative Machine Learning in Big Data Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049078

Chicago Manual of Style (16th Edition):

Xu, Kaihe. “Secure Collaborative Machine Learning in Big Data Systems.” 2015. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0049078.

MLA Handbook (7th Edition):

Xu, Kaihe. “Secure Collaborative Machine Learning in Big Data Systems.” 2015. Web. 16 Sep 2019.

Vancouver:

Xu K. Secure Collaborative Machine Learning in Big Data Systems. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0049078.

Council of Science Editors:

Xu K. Secure Collaborative Machine Learning in Big Data Systems. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049078

13. Lídia Bononi Paiva Tomaz. D-MA-Draughts: um sistema multiagente jogador de damas automático que atua em um ambiente de alto desempenho.

Degree: 2013, Federal University of Uberlândia

 O objetivo deste trabalho é propor um sistema de aprendizagem de damas, D-MA-Draughts (Distributed Multiagent Draughts): um sistema multiagente jogador de damas que atua em… (more)

Subjects/Keywords: Sistema jogador multiagente distribuído; Damas; Aprendizagem por reforço de máquina; Redes neurais artificiais; Busca distribuída; Representação de estados por características; Algoritmos de clusterização; Tabelas de transposição; CIENCIA DA COMPUTACAO; Jogo de damas por computador; Redes neurais (Computação); Distributed multi-agent player system; Draughts; Machine reinforcement learning; Artificial neural networks; Distributed search; Representation of states through features; Cluster algorithms; Transposition tables

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APA (6th Edition):

Tomaz, L. B. P. (2013). D-MA-Draughts: um sistema multiagente jogador de damas automático que atua em um ambiente de alto desempenho. (Thesis). Federal University of Uberlândia. Retrieved from http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=5199

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):

Tomaz, Lídia Bononi Paiva. “D-MA-Draughts: um sistema multiagente jogador de damas automático que atua em um ambiente de alto desempenho.” 2013. Thesis, Federal University of Uberlândia. Accessed September 16, 2019. http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=5199.

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

MLA Handbook (7th Edition):

Tomaz, Lídia Bononi Paiva. “D-MA-Draughts: um sistema multiagente jogador de damas automático que atua em um ambiente de alto desempenho.” 2013. Web. 16 Sep 2019.

Vancouver:

Tomaz LBP. D-MA-Draughts: um sistema multiagente jogador de damas automático que atua em um ambiente de alto desempenho. [Internet] [Thesis]. Federal University of Uberlândia; 2013. [cited 2019 Sep 16]. Available from: http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=5199.

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

Council of Science Editors:

Tomaz LBP. D-MA-Draughts: um sistema multiagente jogador de damas automático que atua em um ambiente de alto desempenho. [Thesis]. Federal University of Uberlândia; 2013. Available from: http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=5199

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

14. Nagaraj, Karthik Swaminathan. Enabling Richer Insight Into Runtime Executions Of Systems.

Degree: PhD, Computer Science, 2013, Purdue University

  Systems software of very large scales are being heavily used today in various important scenarios such as online retail, banking, content services, web search… (more)

Subjects/Keywords: applied sciences; distributed systems; machine learning; system performance; runtime executions; Computer Sciences

…affect overall system performance. Distalyzer uses machine learning techniques to automatically… …8 1.2 Framework for automated analysis of runtime instrumentation to aid in system… …incorporate significant degrees of asynchrony, parallelism and distributed executions, reducing the… …machine learning techniques to automatically analyze logs from executions, to challenging tasks… …user machines to large distributed systems running over thousands of machines across the… 

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APA (6th Edition):

Nagaraj, K. S. (2013). Enabling Richer Insight Into Runtime Executions Of Systems. (Doctoral Dissertation). Purdue University. Retrieved from http://docs.lib.purdue.edu/open_access_dissertations/96

Chicago Manual of Style (16th Edition):

Nagaraj, Karthik Swaminathan. “Enabling Richer Insight Into Runtime Executions Of Systems.” 2013. Doctoral Dissertation, Purdue University. Accessed September 16, 2019. http://docs.lib.purdue.edu/open_access_dissertations/96.

MLA Handbook (7th Edition):

Nagaraj, Karthik Swaminathan. “Enabling Richer Insight Into Runtime Executions Of Systems.” 2013. Web. 16 Sep 2019.

Vancouver:

Nagaraj KS. Enabling Richer Insight Into Runtime Executions Of Systems. [Internet] [Doctoral dissertation]. Purdue University; 2013. [cited 2019 Sep 16]. Available from: http://docs.lib.purdue.edu/open_access_dissertations/96.

Council of Science Editors:

Nagaraj KS. Enabling Richer Insight Into Runtime Executions Of Systems. [Doctoral Dissertation]. Purdue University; 2013. Available from: http://docs.lib.purdue.edu/open_access_dissertations/96


KTH

15. Barkman, Patrik. Grey-box modelling of distributed parameter systems.

Degree: Computational Science and Technology (CST), 2018, KTH

Grey-box models are constructed by combining model components that are derived from first principles with components that are identified empirically from data. In this… (more)

Subjects/Keywords: grey-box; distributed parameter system; partial differential equations; chemical reactions; finite element method; FEM; machine learning; neural networks; hybridmodell; distribuerade parametersystem; partiella differentialekvationer; kemiska reaktioner; finita elementmetoden; FEM; maskininlärning; neuronnätverk; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Barkman, P. (2018). Grey-box modelling of distributed parameter systems. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240677

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):

Barkman, Patrik. “Grey-box modelling of distributed parameter systems.” 2018. Thesis, KTH. Accessed September 16, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240677.

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

MLA Handbook (7th Edition):

Barkman, Patrik. “Grey-box modelling of distributed parameter systems.” 2018. Web. 16 Sep 2019.

Vancouver:

Barkman P. Grey-box modelling of distributed parameter systems. [Internet] [Thesis]. KTH; 2018. [cited 2019 Sep 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240677.

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

Council of Science Editors:

Barkman P. Grey-box modelling of distributed parameter systems. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240677

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


University of New South Wales

16. Dam, Hai Huong. A scalable evolutionary learning classifier system for knowledge discovery in stream data mining.

Degree: Information Technology & Electrical Engineering, 2008, University of New South Wales

 Data mining (DM) is the process of finding patterns and relationships in databases.The breakthrough in computer technologies triggered a massive growth in datacollected and maintained… (more)

Subjects/Keywords: Data mining; Action map; Classification; Data stream; Neural network; Noisy data; Non-stationary environment; Reinforcement learning; Rule-based system; Static environment; Stream data mining; Supervised learning; Distributed data mining; Dynamic environment; Ensemble learning; Evolutionary computation; Genetic algorithm; Knowledge discovery; Learning classifier system; Negative correlation learning

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

APA (6th Edition):

Dam, H. H. (2008). A scalable evolutionary learning classifier system for knowledge discovery in stream data mining. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/38865 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:3421/SOURCE1?view=true

Chicago Manual of Style (16th Edition):

Dam, Hai Huong. “A scalable evolutionary learning classifier system for knowledge discovery in stream data mining.” 2008. Doctoral Dissertation, University of New South Wales. Accessed September 16, 2019. http://handle.unsw.edu.au/1959.4/38865 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:3421/SOURCE1?view=true.

MLA Handbook (7th Edition):

Dam, Hai Huong. “A scalable evolutionary learning classifier system for knowledge discovery in stream data mining.” 2008. Web. 16 Sep 2019.

Vancouver:

Dam HH. A scalable evolutionary learning classifier system for knowledge discovery in stream data mining. [Internet] [Doctoral dissertation]. University of New South Wales; 2008. [cited 2019 Sep 16]. Available from: http://handle.unsw.edu.au/1959.4/38865 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:3421/SOURCE1?view=true.

Council of Science Editors:

Dam HH. A scalable evolutionary learning classifier system for knowledge discovery in stream data mining. [Doctoral Dissertation]. University of New South Wales; 2008. Available from: http://handle.unsw.edu.au/1959.4/38865 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:3421/SOURCE1?view=true


Indian Institute of Science

17. Gupta, Piyush. Learning Decentralized Goal-Based Vector Quantization.

Degree: 1996, Indian Institute of Science

Subjects/Keywords: Electronic Data Processing - Distributed Processing; Data Compression (Computer Science); Coding Theory; Data Transmission System; Markov Chains; Vector Quantization; Randomized Neural Networks; Learning Algorithm; Computer Science

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

APA (6th Edition):

Gupta, P. (1996). Learning Decentralized Goal-Based Vector Quantization. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/1682

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):

Gupta, Piyush. “Learning Decentralized Goal-Based Vector Quantization.” 1996. Thesis, Indian Institute of Science. Accessed September 16, 2019. http://hdl.handle.net/2005/1682.

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

MLA Handbook (7th Edition):

Gupta, Piyush. “Learning Decentralized Goal-Based Vector Quantization.” 1996. Web. 16 Sep 2019.

Vancouver:

Gupta P. Learning Decentralized Goal-Based Vector Quantization. [Internet] [Thesis]. Indian Institute of Science; 1996. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/2005/1682.

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

Council of Science Editors:

Gupta P. Learning Decentralized Goal-Based Vector Quantization. [Thesis]. Indian Institute of Science; 1996. Available from: http://hdl.handle.net/2005/1682

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


Indian Institute of Science

18. Gupta, Piyush. Learning Decentralized Goal-Based Vector Quantization.

Degree: 1996, Indian Institute of Science

Subjects/Keywords: Electronic Data Processing - Distributed Processing; Data Compression (Computer Science); Coding Theory; Data Transmission System; Markov Chains; Vector Quantization; Randomized Neural Networks; Learning Algorithm; Computer Science

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

APA (6th Edition):

Gupta, P. (1996). Learning Decentralized Goal-Based Vector Quantization. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/handle/2005/1682 ; http://etd.ncsi.iisc.ernet.in/abstracts/2174/G14318-Abs.pdf

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):

Gupta, Piyush. “Learning Decentralized Goal-Based Vector Quantization.” 1996. Thesis, Indian Institute of Science. Accessed September 16, 2019. http://etd.iisc.ernet.in/handle/2005/1682 ; http://etd.ncsi.iisc.ernet.in/abstracts/2174/G14318-Abs.pdf.

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

MLA Handbook (7th Edition):

Gupta, Piyush. “Learning Decentralized Goal-Based Vector Quantization.” 1996. Web. 16 Sep 2019.

Vancouver:

Gupta P. Learning Decentralized Goal-Based Vector Quantization. [Internet] [Thesis]. Indian Institute of Science; 1996. [cited 2019 Sep 16]. Available from: http://etd.iisc.ernet.in/handle/2005/1682 ; http://etd.ncsi.iisc.ernet.in/abstracts/2174/G14318-Abs.pdf.

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

Council of Science Editors:

Gupta P. Learning Decentralized Goal-Based Vector Quantization. [Thesis]. Indian Institute of Science; 1996. Available from: http://etd.iisc.ernet.in/handle/2005/1682 ; http://etd.ncsi.iisc.ernet.in/abstracts/2174/G14318-Abs.pdf

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


University of Queensland

19. Purnama, Ida Bagus Irawan. Spatiotemporal analysis of urban mobility dynamics: a case study of bicycle sharing system.

Degree: School of Information Technology and Electrical Engineering, 2018, University of Queensland

Subjects/Keywords: Urban mobility; Bicycle sharing system; Mobility characterization; Clustering; Entropy; Predictability; Next-location prediction; Markov chain model; Cyclostationary-based prediction; Machine learning; 0805 Distributed Computing; 0806 Information Systems

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APA (6th Edition):

Purnama, I. B. I. (2018). Spatiotemporal analysis of urban mobility dynamics: a case study of bicycle sharing system. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:713764

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):

Purnama, Ida Bagus Irawan. “Spatiotemporal analysis of urban mobility dynamics: a case study of bicycle sharing system.” 2018. Thesis, University of Queensland. Accessed September 16, 2019. http://espace.library.uq.edu.au/view/UQ:713764.

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

MLA Handbook (7th Edition):

Purnama, Ida Bagus Irawan. “Spatiotemporal analysis of urban mobility dynamics: a case study of bicycle sharing system.” 2018. Web. 16 Sep 2019.

Vancouver:

Purnama IBI. Spatiotemporal analysis of urban mobility dynamics: a case study of bicycle sharing system. [Internet] [Thesis]. University of Queensland; 2018. [cited 2019 Sep 16]. Available from: http://espace.library.uq.edu.au/view/UQ:713764.

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

Council of Science Editors:

Purnama IBI. Spatiotemporal analysis of urban mobility dynamics: a case study of bicycle sharing system. [Thesis]. University of Queensland; 2018. Available from: http://espace.library.uq.edu.au/view/UQ:713764

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


Penn State University

20. Tang, Kaizhi. MULTI-AGENT AND MARKET BASED DYNAMIC OPTIMIZATION AND ITS EXTENSIONS TO.

Degree: PhD, Industrial Engineering, 2004, Penn State University

 This thesis discusses distributed computational methodologies used for solving supply chain procurement planning problems with information systems naturally distributed at different locations. The planning problem… (more)

Subjects/Keywords: double auction; market mechanism; supply chain procurement; transportation planning; multi-agent system; contingency planning; reinforcement learning; meta-heuristic; variable neighborhood search; dynamic optimization; distributed heuristic; multi-stage game; evolutionary method; fictitious playing; evolutionary stable strategy

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APA (6th Edition):

Tang, K. (2004). MULTI-AGENT AND MARKET BASED DYNAMIC OPTIMIZATION AND ITS EXTENSIONS TO. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/6572

Chicago Manual of Style (16th Edition):

Tang, Kaizhi. “MULTI-AGENT AND MARKET BASED DYNAMIC OPTIMIZATION AND ITS EXTENSIONS TO.” 2004. Doctoral Dissertation, Penn State University. Accessed September 16, 2019. https://etda.libraries.psu.edu/catalog/6572.

MLA Handbook (7th Edition):

Tang, Kaizhi. “MULTI-AGENT AND MARKET BASED DYNAMIC OPTIMIZATION AND ITS EXTENSIONS TO.” 2004. Web. 16 Sep 2019.

Vancouver:

Tang K. MULTI-AGENT AND MARKET BASED DYNAMIC OPTIMIZATION AND ITS EXTENSIONS TO. [Internet] [Doctoral dissertation]. Penn State University; 2004. [cited 2019 Sep 16]. Available from: https://etda.libraries.psu.edu/catalog/6572.

Council of Science Editors:

Tang K. MULTI-AGENT AND MARKET BASED DYNAMIC OPTIMIZATION AND ITS EXTENSIONS TO. [Doctoral Dissertation]. Penn State University; 2004. Available from: https://etda.libraries.psu.edu/catalog/6572

21. Augusitne, Eriq A. SPOONS: NETFLIX OUTAGE DETECTION USING MICROTEXT CLASSIFICATION.

Degree: MS, Computer Science, 2013, Cal Poly

  Every week there are over a billion new posts to Twitter services and many of those messages contain feedback to companies about their services.… (more)

Subjects/Keywords: Outage Detection; Natural Language Processing; Machine Learning; Real-Time; Social Media; Distributed System; Artificial Intelligence and Robotics; Databases and Information Systems

Distributed Computation Model 48 10.1 Distribution Requirements… …94 Conclusions 98 14 Conclusions 99 14.1 The SPOONS System… …disruption of Netflix streaming to the Nintendo Wii console. 5 System Concept Diagram — This… …system concept diagram shows the general flow of processing done in the SPOONS system. . . . 7… …framework system. . . . . . . . . . . . . . . 35 8.2 SPOONS UI — The web UI for SPOONS… 

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APA (6th Edition):

Augusitne, E. A. (2013). SPOONS: NETFLIX OUTAGE DETECTION USING MICROTEXT CLASSIFICATION. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/945 ; 10.15368/theses.2013.18

Chicago Manual of Style (16th Edition):

Augusitne, Eriq A. “SPOONS: NETFLIX OUTAGE DETECTION USING MICROTEXT CLASSIFICATION.” 2013. Masters Thesis, Cal Poly. Accessed September 16, 2019. https://digitalcommons.calpoly.edu/theses/945 ; 10.15368/theses.2013.18.

MLA Handbook (7th Edition):

Augusitne, Eriq A. “SPOONS: NETFLIX OUTAGE DETECTION USING MICROTEXT CLASSIFICATION.” 2013. Web. 16 Sep 2019.

Vancouver:

Augusitne EA. SPOONS: NETFLIX OUTAGE DETECTION USING MICROTEXT CLASSIFICATION. [Internet] [Masters thesis]. Cal Poly; 2013. [cited 2019 Sep 16]. Available from: https://digitalcommons.calpoly.edu/theses/945 ; 10.15368/theses.2013.18.

Council of Science Editors:

Augusitne EA. SPOONS: NETFLIX OUTAGE DETECTION USING MICROTEXT CLASSIFICATION. [Masters Thesis]. Cal Poly; 2013. Available from: https://digitalcommons.calpoly.edu/theses/945 ; 10.15368/theses.2013.18

22. Groh, Anne Marie. Structures and Supports for Data Use in Schools: A Qualitative Case Study of One Urban Elementary School.

Degree: PhD, Urban Education, 2013, University of Wisconsin – Milwaukee

  A federal policy in the United States has required sweeping changes in K-12 education. With No Child Left Behind legislation, schools are challenged to… (more)

Subjects/Keywords: Assessments; Data-Driven Instructional-System; Distributed Leadership; Efficacy; Professional Learning Community; Structures and Strategies; Educational Administration and Supervision; Educational Assessment, Evaluation, and Research

…99 Professional Learning Communities… …196 Appendix E: Teaching and Learning Framework… …that using data strategically has a positive impact on student learning (Bernhardt, 2005… …accountability into their practice of teaching and learning is ultimately what affects student learning… …local level to foster student learning. 2 Research Questions This study examined the… 

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

APA (6th Edition):

Groh, A. M. (2013). Structures and Supports for Data Use in Schools: A Qualitative Case Study of One Urban Elementary School. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/109

Chicago Manual of Style (16th Edition):

Groh, Anne Marie. “Structures and Supports for Data Use in Schools: A Qualitative Case Study of One Urban Elementary School.” 2013. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed September 16, 2019. https://dc.uwm.edu/etd/109.

MLA Handbook (7th Edition):

Groh, Anne Marie. “Structures and Supports for Data Use in Schools: A Qualitative Case Study of One Urban Elementary School.” 2013. Web. 16 Sep 2019.

Vancouver:

Groh AM. Structures and Supports for Data Use in Schools: A Qualitative Case Study of One Urban Elementary School. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2013. [cited 2019 Sep 16]. Available from: https://dc.uwm.edu/etd/109.

Council of Science Editors:

Groh AM. Structures and Supports for Data Use in Schools: A Qualitative Case Study of One Urban Elementary School. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2013. Available from: https://dc.uwm.edu/etd/109

23. Lockhart, Tony F. Increasing motivation by adapting intelligent tutoring instruction to learner achievement goals.

Degree: MS, Literature, Communication, and Culture, 2011, Georgia Tech

 The impact of affect on learning and performance has caused many researchers in the field of cognitive psychology to acknowledge the value of motivationally supportive… (more)

Subjects/Keywords: Activity theory; Motivation; Goal orientation; Model tracing; Regulatory fit; Intelligent tutoring system; ITS; Intrinsic; Engagement; Situated activity theory; Affect; Self-efficacy; Learning theory; Distributed learning system; Extrinsic; Tutors and tutoring; Cognitive learning; Learning; Learning, Psychology of; Educational psychology; Motivation in education

…dependencies are the same within a distributed system (Hutchins, 1995, p. 225). From this… …a distributed approach to learning, in which knowledge is propagated from one complex… …computational system (Hutchins, 1995, PP. 117, 155). The theory of distributed cognition has… …distributed system in which components are coordinated to achieve the specific objective of training… …Intelligent Tutoring System K-S Kolmogorov Smirnov K-W Kruskal Wallis MApproach Mastery… 

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

APA (6th Edition):

Lockhart, T. F. (2011). Increasing motivation by adapting intelligent tutoring instruction to learner achievement goals. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39556

Chicago Manual of Style (16th Edition):

Lockhart, Tony F. “Increasing motivation by adapting intelligent tutoring instruction to learner achievement goals.” 2011. Masters Thesis, Georgia Tech. Accessed September 16, 2019. http://hdl.handle.net/1853/39556.

MLA Handbook (7th Edition):

Lockhart, Tony F. “Increasing motivation by adapting intelligent tutoring instruction to learner achievement goals.” 2011. Web. 16 Sep 2019.

Vancouver:

Lockhart TF. Increasing motivation by adapting intelligent tutoring instruction to learner achievement goals. [Internet] [Masters thesis]. Georgia Tech; 2011. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/1853/39556.

Council of Science Editors:

Lockhart TF. Increasing motivation by adapting intelligent tutoring instruction to learner achievement goals. [Masters Thesis]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39556

.