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You searched for subject:(Distributed Artificial Intelligence). Showing records 1 – 30 of 104 total matches.

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Victoria University of Wellington

1. Kinzett, Alan David. Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming.

Degree: 2011, Victoria University of Wellington

 In tree-based genetic programming (GP) there is a tendency for the program trees to increase in size from one generation to the next. If this… (more)

Subjects/Keywords: Computational intelligence; Genetic programming; Distributed artificial intelligence

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APA (6th Edition):

Kinzett, A. D. (2011). Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/1863

Chicago Manual of Style (16th Edition):

Kinzett, Alan David. “Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming.” 2011. Masters Thesis, Victoria University of Wellington. Accessed January 22, 2021. http://hdl.handle.net/10063/1863.

MLA Handbook (7th Edition):

Kinzett, Alan David. “Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming.” 2011. Web. 22 Jan 2021.

Vancouver:

Kinzett AD. Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming. [Internet] [Masters thesis]. Victoria University of Wellington; 2011. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10063/1863.

Council of Science Editors:

Kinzett AD. Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming. [Masters Thesis]. Victoria University of Wellington; 2011. Available from: http://hdl.handle.net/10063/1863


Rochester Institute of Technology

2. Galatic, Paul. Divide and Conquer in Neural Style Transfer for Video.

Degree: MS, Computer Science (GCCIS), 2020, Rochester Institute of Technology

  Neural Style Transfer is a class of neural algorithms designed to redraw a given image in the style of another image, traditionally a famous… (more)

Subjects/Keywords: Artificial; Distributed; Intelligence; Neural; Style; Transfer

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APA (6th Edition):

Galatic, P. (2020). Divide and Conquer in Neural Style Transfer for Video. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10384

Chicago Manual of Style (16th Edition):

Galatic, Paul. “Divide and Conquer in Neural Style Transfer for Video.” 2020. Masters Thesis, Rochester Institute of Technology. Accessed January 22, 2021. https://scholarworks.rit.edu/theses/10384.

MLA Handbook (7th Edition):

Galatic, Paul. “Divide and Conquer in Neural Style Transfer for Video.” 2020. Web. 22 Jan 2021.

Vancouver:

Galatic P. Divide and Conquer in Neural Style Transfer for Video. [Internet] [Masters thesis]. Rochester Institute of Technology; 2020. [cited 2021 Jan 22]. Available from: https://scholarworks.rit.edu/theses/10384.

Council of Science Editors:

Galatic P. Divide and Conquer in Neural Style Transfer for Video. [Masters Thesis]. Rochester Institute of Technology; 2020. Available from: https://scholarworks.rit.edu/theses/10384


University of Georgia

3. Barnhard, David Howard. Distributed collaborative robotic mapping.

Degree: 2014, University of Georgia

 The utilization of multiple robots to map an unknown environment is a challenging problem within Artificial Intelligence. This thesis first presents previous efforts to develop… (more)

Subjects/Keywords: Robotics; Artificial Intelligence; Distributed Processing; Collaborative Robotics

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APA (6th Edition):

Barnhard, D. H. (2014). Distributed collaborative robotic mapping. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/22575

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):

Barnhard, David Howard. “Distributed collaborative robotic mapping.” 2014. Thesis, University of Georgia. Accessed January 22, 2021. http://hdl.handle.net/10724/22575.

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

MLA Handbook (7th Edition):

Barnhard, David Howard. “Distributed collaborative robotic mapping.” 2014. Web. 22 Jan 2021.

Vancouver:

Barnhard DH. Distributed collaborative robotic mapping. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10724/22575.

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

Council of Science Editors:

Barnhard DH. Distributed collaborative robotic mapping. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/22575

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


Georgia Tech

4. Abdi, Afshin. Distributed learning and inference in deep models.

Degree: PhD, Electrical and Computer Engineering, 2020, Georgia Tech

 In recent years, the size of deep learning problems has been increased significantly, both in terms of the number of available training samples as well… (more)

Subjects/Keywords: Machine learning; Artificial intelligence; Distributed training; Distributed learning

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APA (6th Edition):

Abdi, A. (2020). Distributed learning and inference in deep models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63671

Chicago Manual of Style (16th Edition):

Abdi, Afshin. “Distributed learning and inference in deep models.” 2020. Doctoral Dissertation, Georgia Tech. Accessed January 22, 2021. http://hdl.handle.net/1853/63671.

MLA Handbook (7th Edition):

Abdi, Afshin. “Distributed learning and inference in deep models.” 2020. Web. 22 Jan 2021.

Vancouver:

Abdi A. Distributed learning and inference in deep models. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1853/63671.

Council of Science Editors:

Abdi A. Distributed learning and inference in deep models. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63671


University of California – Berkeley

5. Curtis, Kristal Lyn. Leveraging Similar Regions to Improve Genome Data Processing.

Degree: Computer Science, 2015, University of California – Berkeley

 Though DNA sequencing has improved dramatically over the past decade, variant calling, which is the process of reconstructing a patient’s genome from the reads that… (more)

Subjects/Keywords: Computer science; Bioinformatics; Artificial intelligence; Distributed algorithms; Genomics; Machine learning

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APA (6th Edition):

Curtis, K. L. (2015). Leveraging Similar Regions to Improve Genome Data Processing. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/0bq516zw

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):

Curtis, Kristal Lyn. “Leveraging Similar Regions to Improve Genome Data Processing.” 2015. Thesis, University of California – Berkeley. Accessed January 22, 2021. http://www.escholarship.org/uc/item/0bq516zw.

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

MLA Handbook (7th Edition):

Curtis, Kristal Lyn. “Leveraging Similar Regions to Improve Genome Data Processing.” 2015. Web. 22 Jan 2021.

Vancouver:

Curtis KL. Leveraging Similar Regions to Improve Genome Data Processing. [Internet] [Thesis]. University of California – Berkeley; 2015. [cited 2021 Jan 22]. Available from: http://www.escholarship.org/uc/item/0bq516zw.

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

Council of Science Editors:

Curtis KL. Leveraging Similar Regions to Improve Genome Data Processing. [Thesis]. University of California – Berkeley; 2015. Available from: http://www.escholarship.org/uc/item/0bq516zw

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


University of California – Irvine

6. AHN, SUNGJIN. Stochastic Gradient MCMC: Algorithms and Applications.

Degree: Computer Science, 2015, University of California – Irvine

 Despite the powerful advantages of Bayesian inference such as quantifying uncertainty, ac- curate averaged prediction, and preventing overfitting, the traditional Markov chain Monte Carlo (MCMC)… (more)

Subjects/Keywords: Artificial intelligence; Bayesian; Distributed; Large-scale; MCMC; Scalable; stochastic gradient

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APA (6th Edition):

AHN, S. (2015). Stochastic Gradient MCMC: Algorithms and Applications. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/4k8039zm

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):

AHN, SUNGJIN. “Stochastic Gradient MCMC: Algorithms and Applications.” 2015. Thesis, University of California – Irvine. Accessed January 22, 2021. http://www.escholarship.org/uc/item/4k8039zm.

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

MLA Handbook (7th Edition):

AHN, SUNGJIN. “Stochastic Gradient MCMC: Algorithms and Applications.” 2015. Web. 22 Jan 2021.

Vancouver:

AHN S. Stochastic Gradient MCMC: Algorithms and Applications. [Internet] [Thesis]. University of California – Irvine; 2015. [cited 2021 Jan 22]. Available from: http://www.escholarship.org/uc/item/4k8039zm.

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

Council of Science Editors:

AHN S. Stochastic Gradient MCMC: Algorithms and Applications. [Thesis]. University of California – Irvine; 2015. Available from: http://www.escholarship.org/uc/item/4k8039zm

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


Texas Tech University

7. Ottaway, Thomas A. A conceptual model and prototype of an adaptive production control system.

Degree: 1995, Texas Tech University

 The literature suggests two divergent approaches to the structure of intelligent production control systems. The National Institute for Standards and Technology (NIST), through its Advanced… (more)

Subjects/Keywords: Distributed artificial intelligence; Production control

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APA (6th Edition):

Ottaway, T. A. (1995). A conceptual model and prototype of an adaptive production control system. (Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/20132

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):

Ottaway, Thomas A. “A conceptual model and prototype of an adaptive production control system.” 1995. Thesis, Texas Tech University. Accessed January 22, 2021. http://hdl.handle.net/2346/20132.

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

MLA Handbook (7th Edition):

Ottaway, Thomas A. “A conceptual model and prototype of an adaptive production control system.” 1995. Web. 22 Jan 2021.

Vancouver:

Ottaway TA. A conceptual model and prototype of an adaptive production control system. [Internet] [Thesis]. Texas Tech University; 1995. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/2346/20132.

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

Council of Science Editors:

Ottaway TA. A conceptual model and prototype of an adaptive production control system. [Thesis]. Texas Tech University; 1995. Available from: http://hdl.handle.net/2346/20132

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


Georgia State University

8. Rivers, Katelyn. Can Global Workspace Theory Solve the Frame Problem?.

Degree: MA, Philosophy, 2018, Georgia State University

  The Frame Problem originated as an obstacle for classical, symbolic A.I. that was adopted, expanded, and reformulated by philosophers. The version of the problem… (more)

Subjects/Keywords: Frame Problem; Relevance; Artificial Intelligence; Global Workspace Theory; Distributed Processing; Modularity

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APA (6th Edition):

Rivers, K. (2018). Can Global Workspace Theory Solve the Frame Problem?. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/philosophy_theses/223

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):

Rivers, Katelyn. “Can Global Workspace Theory Solve the Frame Problem?.” 2018. Thesis, Georgia State University. Accessed January 22, 2021. https://scholarworks.gsu.edu/philosophy_theses/223.

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

MLA Handbook (7th Edition):

Rivers, Katelyn. “Can Global Workspace Theory Solve the Frame Problem?.” 2018. Web. 22 Jan 2021.

Vancouver:

Rivers K. Can Global Workspace Theory Solve the Frame Problem?. [Internet] [Thesis]. Georgia State University; 2018. [cited 2021 Jan 22]. Available from: https://scholarworks.gsu.edu/philosophy_theses/223.

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

Council of Science Editors:

Rivers K. Can Global Workspace Theory Solve the Frame Problem?. [Thesis]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/philosophy_theses/223

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


Michigan State University

9. Makar, Rajbala. Hierarchical multi agent reinforcement learning.

Degree: MS, Department of Computer Science & Engineering, 2000, Michigan State University

Subjects/Keywords: Distributed artificial intelligence; Reinforcement learning

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APA (6th Edition):

Makar, R. (2000). Hierarchical multi agent reinforcement learning. (Masters Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:28318

Chicago Manual of Style (16th Edition):

Makar, Rajbala. “Hierarchical multi agent reinforcement learning.” 2000. Masters Thesis, Michigan State University. Accessed January 22, 2021. http://etd.lib.msu.edu/islandora/object/etd:28318.

MLA Handbook (7th Edition):

Makar, Rajbala. “Hierarchical multi agent reinforcement learning.” 2000. Web. 22 Jan 2021.

Vancouver:

Makar R. Hierarchical multi agent reinforcement learning. [Internet] [Masters thesis]. Michigan State University; 2000. [cited 2021 Jan 22]. Available from: http://etd.lib.msu.edu/islandora/object/etd:28318.

Council of Science Editors:

Makar R. Hierarchical multi agent reinforcement learning. [Masters Thesis]. Michigan State University; 2000. Available from: http://etd.lib.msu.edu/islandora/object/etd:28318

10. Adhikari, Navin K. Co-evolving Distributed Control for Heterogeneous Agents in RTS Games.

Degree: 2019, University of Nevada – Reno

 We investigate competitive and co-operative co-evolutionary approaches to generating transparent distributed control for teams of heterogeneous agents in RTS games. RTS games provide a challenging… (more)

Subjects/Keywords: Artificial Intelligence; Coevolution; Distributed Control; Evolutionary Algorithms; Potential Fields; RTS Micro

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APA (6th Edition):

Adhikari, N. K. (2019). Co-evolving Distributed Control for Heterogeneous Agents in RTS Games. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/5997

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):

Adhikari, Navin K. “Co-evolving Distributed Control for Heterogeneous Agents in RTS Games.” 2019. Thesis, University of Nevada – Reno. Accessed January 22, 2021. http://hdl.handle.net/11714/5997.

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

MLA Handbook (7th Edition):

Adhikari, Navin K. “Co-evolving Distributed Control for Heterogeneous Agents in RTS Games.” 2019. Web. 22 Jan 2021.

Vancouver:

Adhikari NK. Co-evolving Distributed Control for Heterogeneous Agents in RTS Games. [Internet] [Thesis]. University of Nevada – Reno; 2019. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/11714/5997.

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

Council of Science Editors:

Adhikari NK. Co-evolving Distributed Control for Heterogeneous Agents in RTS Games. [Thesis]. University of Nevada – Reno; 2019. Available from: http://hdl.handle.net/11714/5997

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


Universidade Federal de Viçosa

11. Carlos Alberto Araújo Júnior. Simulação multiagentes aplicada ao planejamento da produção florestal sustentável.

Degree: 2012, Universidade Federal de Viçosa

O presente trabalho objetivou avaliar a aplicação do paradigma da Inteligência Artificial Distribuída em problemas de manejo florestal. Para isso, foram desenvolvidos dois Sistemas Multiagentes:… (more)

Subjects/Keywords: Regulação florestal; Inteligência Artificial Distribuída; Heurística; MANEJO FLORESTAL; Forest regulation; Heuristics; Distributed Artificial Intelligence

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APA (6th Edition):

Júnior, C. A. A. (2012). Simulação multiagentes aplicada ao planejamento da produção florestal sustentável. (Thesis). Universidade Federal de Viçosa. Retrieved from http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4108

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):

Júnior, Carlos Alberto Araújo. “Simulação multiagentes aplicada ao planejamento da produção florestal sustentável.” 2012. Thesis, Universidade Federal de Viçosa. Accessed January 22, 2021. http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4108.

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

MLA Handbook (7th Edition):

Júnior, Carlos Alberto Araújo. “Simulação multiagentes aplicada ao planejamento da produção florestal sustentável.” 2012. Web. 22 Jan 2021.

Vancouver:

Júnior CAA. Simulação multiagentes aplicada ao planejamento da produção florestal sustentável. [Internet] [Thesis]. Universidade Federal de Viçosa; 2012. [cited 2021 Jan 22]. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4108.

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

Council of Science Editors:

Júnior CAA. Simulação multiagentes aplicada ao planejamento da produção florestal sustentável. [Thesis]. Universidade Federal de Viçosa; 2012. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4108

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


Universidade do Rio Grande do Sul

12. Santos, Daniela Scherer dos. Bee clustering : um algoritmo para agrupamento de dados inspirado em inteligência de enxames.

Degree: 2009, Universidade do Rio Grande do Sul

Agrupamento de dados é o processo que consiste em dividir um conjunto de dados em grupos de forma que dados semelhantes entre si permaneçam no… (more)

Subjects/Keywords: Inteligência artificial; Artificial intelligence; Multiagent systems; Sistemas multiagentes; Insetos sociais; Swarm intelligence; Distributed clustering; Bee colony organization

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APA (6th Edition):

Santos, D. S. d. (2009). Bee clustering : um algoritmo para agrupamento de dados inspirado em inteligência de enxames. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/18249

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):

Santos, Daniela Scherer dos. “Bee clustering : um algoritmo para agrupamento de dados inspirado em inteligência de enxames.” 2009. Thesis, Universidade do Rio Grande do Sul. Accessed January 22, 2021. http://hdl.handle.net/10183/18249.

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

MLA Handbook (7th Edition):

Santos, Daniela Scherer dos. “Bee clustering : um algoritmo para agrupamento de dados inspirado em inteligência de enxames.” 2009. Web. 22 Jan 2021.

Vancouver:

Santos DSd. Bee clustering : um algoritmo para agrupamento de dados inspirado em inteligência de enxames. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2009. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10183/18249.

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

Council of Science Editors:

Santos DSd. Bee clustering : um algoritmo para agrupamento de dados inspirado em inteligência de enxames. [Thesis]. Universidade do Rio Grande do Sul; 2009. Available from: http://hdl.handle.net/10183/18249

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


University of Vermont

13. Wagy, Mark David. Enabling Machine Science through Distributed Human Computing.

Degree: PhD, Computer Science, 2016, University of Vermont

Distributed human computing techniques have been shown to be effective ways of accessing the problem-solving capabilities of a large group of anonymous individuals over… (more)

Subjects/Keywords: Artificial Intelligence; Crowdsourcing; Distributed Systems; Human Computation; Human Computer Interaction; Machine Learning; Artificial Intelligence and Robotics; Computer Sciences

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APA (6th Edition):

Wagy, M. D. (2016). Enabling Machine Science through Distributed Human Computing. (Doctoral Dissertation). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/618

Chicago Manual of Style (16th Edition):

Wagy, Mark David. “Enabling Machine Science through Distributed Human Computing.” 2016. Doctoral Dissertation, University of Vermont. Accessed January 22, 2021. https://scholarworks.uvm.edu/graddis/618.

MLA Handbook (7th Edition):

Wagy, Mark David. “Enabling Machine Science through Distributed Human Computing.” 2016. Web. 22 Jan 2021.

Vancouver:

Wagy MD. Enabling Machine Science through Distributed Human Computing. [Internet] [Doctoral dissertation]. University of Vermont; 2016. [cited 2021 Jan 22]. Available from: https://scholarworks.uvm.edu/graddis/618.

Council of Science Editors:

Wagy MD. Enabling Machine Science through Distributed Human Computing. [Doctoral Dissertation]. University of Vermont; 2016. Available from: https://scholarworks.uvm.edu/graddis/618


Vanderbilt University

14. Sengupta, Saptarshi. QDDS – A Novel Quantum-inspired Swarm Optimizer: Theoretical Foundations, Convergence Analyses and Application Perspectives.

Degree: PhD, Electrical Engineering, 2019, Vanderbilt University

 With sensor fusion and data-driven approaches taking center stage in ubiquitous computing, customized and application-specific optimization methods are increasingly important. The interest follows in part… (more)

Subjects/Keywords: quantum-inspired computational intelligence; stochastic optimization; particle swarm optimization; multiagent systems; swarm intelligence; distributed artificial intelligence

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

APA (6th Edition):

Sengupta, S. (2019). QDDS – A Novel Quantum-inspired Swarm Optimizer: Theoretical Foundations, Convergence Analyses and Application Perspectives. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14438

Chicago Manual of Style (16th Edition):

Sengupta, Saptarshi. “QDDS – A Novel Quantum-inspired Swarm Optimizer: Theoretical Foundations, Convergence Analyses and Application Perspectives.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed January 22, 2021. http://hdl.handle.net/1803/14438.

MLA Handbook (7th Edition):

Sengupta, Saptarshi. “QDDS – A Novel Quantum-inspired Swarm Optimizer: Theoretical Foundations, Convergence Analyses and Application Perspectives.” 2019. Web. 22 Jan 2021.

Vancouver:

Sengupta S. QDDS – A Novel Quantum-inspired Swarm Optimizer: Theoretical Foundations, Convergence Analyses and Application Perspectives. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1803/14438.

Council of Science Editors:

Sengupta S. QDDS – A Novel Quantum-inspired Swarm Optimizer: Theoretical Foundations, Convergence Analyses and Application Perspectives. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://hdl.handle.net/1803/14438


University of California – Berkeley

15. Sparks, Evan Randall. End-to-End Large Scale Machine Learning with KeystoneML.

Degree: Computer Science, 2016, University of California – Berkeley

 The rise of data center computing and Internet-connected devices has led to an unparalleled explosion in the volumes of data collected across a multitude of… (more)

Subjects/Keywords: Computer science; advanced analytics; artificial intelligence; big data; distributed machine learning; large scale; machine learning

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

APA (6th Edition):

Sparks, E. R. (2016). End-to-End Large Scale Machine Learning with KeystoneML. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/4r73d9rh

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):

Sparks, Evan Randall. “End-to-End Large Scale Machine Learning with KeystoneML.” 2016. Thesis, University of California – Berkeley. Accessed January 22, 2021. http://www.escholarship.org/uc/item/4r73d9rh.

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

MLA Handbook (7th Edition):

Sparks, Evan Randall. “End-to-End Large Scale Machine Learning with KeystoneML.” 2016. Web. 22 Jan 2021.

Vancouver:

Sparks ER. End-to-End Large Scale Machine Learning with KeystoneML. [Internet] [Thesis]. University of California – Berkeley; 2016. [cited 2021 Jan 22]. Available from: http://www.escholarship.org/uc/item/4r73d9rh.

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

Council of Science Editors:

Sparks ER. End-to-End Large Scale Machine Learning with KeystoneML. [Thesis]. University of California – Berkeley; 2016. Available from: http://www.escholarship.org/uc/item/4r73d9rh

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


University of Southern California

16. Yeoh, William. Speeding up distributed constraint optimization search algorithms.

Degree: PhD, Computer Science, 2010, University of Southern California

Distributed constraint optimization (DCOP) is a model where several agents coordinate with each other to take on values so as to minimize the sum of… (more)

Subjects/Keywords: artificial intelligence; multiagent systems; distributed constraint optimization; distributed search

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

APA (6th Edition):

Yeoh, W. (2010). Speeding up distributed constraint optimization search algorithms. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/393626/rec/6011

Chicago Manual of Style (16th Edition):

Yeoh, William. “Speeding up distributed constraint optimization search algorithms.” 2010. Doctoral Dissertation, University of Southern California. Accessed January 22, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/393626/rec/6011.

MLA Handbook (7th Edition):

Yeoh, William. “Speeding up distributed constraint optimization search algorithms.” 2010. Web. 22 Jan 2021.

Vancouver:

Yeoh W. Speeding up distributed constraint optimization search algorithms. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2021 Jan 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/393626/rec/6011.

Council of Science Editors:

Yeoh W. Speeding up distributed constraint optimization search algorithms. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/393626/rec/6011


Universidade do Rio Grande do Sul

17. Epstein, Daniel. Um algoritmo distribuído para resolução do problema de geração de estruturas de coalizão com presença de externalidades.

Degree: 2013, Universidade do Rio Grande do Sul

 Uma importante parte de um sistema multiagente é o seu mecanismo de coordenação que permite que os agentes possam agir de maneira coesa em direção… (more)

Subjects/Keywords: Artificial intelligence; Inteligência artificial; Sistemas multiagentes; Multi-agent system; Game theory; Distributed algorithms; Coalition structure generation; Externality

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APA (6th Edition):

Epstein, D. (2013). Um algoritmo distribuído para resolução do problema de geração de estruturas de coalizão com presença de externalidades. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/103391

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):

Epstein, Daniel. “Um algoritmo distribuído para resolução do problema de geração de estruturas de coalizão com presença de externalidades.” 2013. Thesis, Universidade do Rio Grande do Sul. Accessed January 22, 2021. http://hdl.handle.net/10183/103391.

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

MLA Handbook (7th Edition):

Epstein, Daniel. “Um algoritmo distribuído para resolução do problema de geração de estruturas de coalizão com presença de externalidades.” 2013. Web. 22 Jan 2021.

Vancouver:

Epstein D. Um algoritmo distribuído para resolução do problema de geração de estruturas de coalizão com presença de externalidades. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2013. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10183/103391.

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

Council of Science Editors:

Epstein D. Um algoritmo distribuído para resolução do problema de geração de estruturas de coalizão com presença de externalidades. [Thesis]. Universidade do Rio Grande do Sul; 2013. Available from: http://hdl.handle.net/10183/103391

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


De Montfort University

18. Prueller, Hans. Distributed online machine learning for mobile care systems.

Degree: PhD, 2014, De Montfort University

 Telecare and especially Mobile Care Systems are getting more and more popular. They have two major benefits: first, they drastically improve the living standards and… (more)

Subjects/Keywords: 006.3; distributed learning; online learning; artificial intelligence; telecare; mobile patient care; ecos; evolving artificial neural networks

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

APA (6th Edition):

Prueller, H. (2014). Distributed online machine learning for mobile care systems. (Doctoral Dissertation). De Montfort University. Retrieved from http://hdl.handle.net/2086/10875

Chicago Manual of Style (16th Edition):

Prueller, Hans. “Distributed online machine learning for mobile care systems.” 2014. Doctoral Dissertation, De Montfort University. Accessed January 22, 2021. http://hdl.handle.net/2086/10875.

MLA Handbook (7th Edition):

Prueller, Hans. “Distributed online machine learning for mobile care systems.” 2014. Web. 22 Jan 2021.

Vancouver:

Prueller H. Distributed online machine learning for mobile care systems. [Internet] [Doctoral dissertation]. De Montfort University; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/2086/10875.

Council of Science Editors:

Prueller H. Distributed online machine learning for mobile care systems. [Doctoral Dissertation]. De Montfort University; 2014. Available from: http://hdl.handle.net/2086/10875


University of North Texas

19. Balamuru, Vinay Gopal. The Role of Intelligent Mobile Agents in Network Management and Routing.

Degree: 2000, University of North Texas

 In this research, the application of intelligent mobile agents to the management of distributed network environments is investigated. Intelligent mobile agents are programs which can… (more)

Subjects/Keywords: Electronic data processing  – Distributed processing.; Distributed artificial intelligence.; Intelligent agents (Computer software); distributed network environments; intelligent mobile agents; distributed artificial intelligence

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

APA (6th Edition):

Balamuru, V. G. (2000). The Role of Intelligent Mobile Agents in Network Management and Routing. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc2736/

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):

Balamuru, Vinay Gopal. “The Role of Intelligent Mobile Agents in Network Management and Routing.” 2000. Thesis, University of North Texas. Accessed January 22, 2021. https://digital.library.unt.edu/ark:/67531/metadc2736/.

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

MLA Handbook (7th Edition):

Balamuru, Vinay Gopal. “The Role of Intelligent Mobile Agents in Network Management and Routing.” 2000. Web. 22 Jan 2021.

Vancouver:

Balamuru VG. The Role of Intelligent Mobile Agents in Network Management and Routing. [Internet] [Thesis]. University of North Texas; 2000. [cited 2021 Jan 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc2736/.

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

Council of Science Editors:

Balamuru VG. The Role of Intelligent Mobile Agents in Network Management and Routing. [Thesis]. University of North Texas; 2000. Available from: https://digital.library.unt.edu/ark:/67531/metadc2736/

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

20. Klaimi, Joelle. Gestion multi-agents des smart grids intégrant un système de stockage : cas résidentiel : Multi-agent management of smart grids integrating a storage system : residential case.

Degree: Docteur es, Ingénierie Sociotechnique des Connaissances, des Réseaux et du Développement Durable, 2017, Troyes; Université libanaise

Cette thèse s’intéresse à la gestion décentralisée à l’aide des systèmes multi-agents de l’énergie, notamment de sources renouvelables, dans le contexte des réseaux électriques intelligents… (more)

Subjects/Keywords: Réseaux électriques intelligents; Energies renouvelables; Intelligence artificielle répartie; Systèmes à paramètres répartis; Smart power grids; Renewable energy sources; Distributed artificial intelligence; Distributed parameter systems; 621.319

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

APA (6th Edition):

Klaimi, J. (2017). Gestion multi-agents des smart grids intégrant un système de stockage : cas résidentiel : Multi-agent management of smart grids integrating a storage system : residential case. (Doctoral Dissertation). Troyes; Université libanaise. Retrieved from http://www.theses.fr/2017TROY0006

Chicago Manual of Style (16th Edition):

Klaimi, Joelle. “Gestion multi-agents des smart grids intégrant un système de stockage : cas résidentiel : Multi-agent management of smart grids integrating a storage system : residential case.” 2017. Doctoral Dissertation, Troyes; Université libanaise. Accessed January 22, 2021. http://www.theses.fr/2017TROY0006.

MLA Handbook (7th Edition):

Klaimi, Joelle. “Gestion multi-agents des smart grids intégrant un système de stockage : cas résidentiel : Multi-agent management of smart grids integrating a storage system : residential case.” 2017. Web. 22 Jan 2021.

Vancouver:

Klaimi J. Gestion multi-agents des smart grids intégrant un système de stockage : cas résidentiel : Multi-agent management of smart grids integrating a storage system : residential case. [Internet] [Doctoral dissertation]. Troyes; Université libanaise; 2017. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2017TROY0006.

Council of Science Editors:

Klaimi J. Gestion multi-agents des smart grids intégrant un système de stockage : cas résidentiel : Multi-agent management of smart grids integrating a storage system : residential case. [Doctoral Dissertation]. Troyes; Université libanaise; 2017. Available from: http://www.theses.fr/2017TROY0006


Université Montpellier II

21. Wahbi, Mohamed. Algorithms and ordering heuristics for distributed constraint satisfaction problems : Algorithmes de résolution et heuristiques d'ordonnancement pour les problèmes de satisfaction de contraintes distribués.

Degree: Docteur es, Informatique, 2012, Université Montpellier II

Les problèmes de satisfaction de contraintes distribués (DisCSP) permettent de formaliser divers problèmes qui se situent dans l'intelligence artificielle distribuée. Ces problèmes consistent à trouver… (more)

Subjects/Keywords: Intelligence Artificielle; Intelligence Artificielle distribuée; Problèmes de satisfaction de contraintes distribués (DisCSP); Heuristiques d'ordonnancement; Maintenance de la consistance d'arc; DisChoco; Artificial Intelligence; Distributed Artificial Intelligence; Distributed Constraint Satisfaction (DisCSP); Reordering; Maintaining Arc Consistency; DisChoco

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

APA (6th Edition):

Wahbi, M. (2012). Algorithms and ordering heuristics for distributed constraint satisfaction problems : Algorithmes de résolution et heuristiques d'ordonnancement pour les problèmes de satisfaction de contraintes distribués. (Doctoral Dissertation). Université Montpellier II. Retrieved from http://www.theses.fr/2012MON20028

Chicago Manual of Style (16th Edition):

Wahbi, Mohamed. “Algorithms and ordering heuristics for distributed constraint satisfaction problems : Algorithmes de résolution et heuristiques d'ordonnancement pour les problèmes de satisfaction de contraintes distribués.” 2012. Doctoral Dissertation, Université Montpellier II. Accessed January 22, 2021. http://www.theses.fr/2012MON20028.

MLA Handbook (7th Edition):

Wahbi, Mohamed. “Algorithms and ordering heuristics for distributed constraint satisfaction problems : Algorithmes de résolution et heuristiques d'ordonnancement pour les problèmes de satisfaction de contraintes distribués.” 2012. Web. 22 Jan 2021.

Vancouver:

Wahbi M. Algorithms and ordering heuristics for distributed constraint satisfaction problems : Algorithmes de résolution et heuristiques d'ordonnancement pour les problèmes de satisfaction de contraintes distribués. [Internet] [Doctoral dissertation]. Université Montpellier II; 2012. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2012MON20028.

Council of Science Editors:

Wahbi M. Algorithms and ordering heuristics for distributed constraint satisfaction problems : Algorithmes de résolution et heuristiques d'ordonnancement pour les problèmes de satisfaction de contraintes distribués. [Doctoral Dissertation]. Université Montpellier II; 2012. Available from: http://www.theses.fr/2012MON20028


Universidade do Porto

22. Malheiro, Maria Benedita Campos Neves. Methodologies for Belief Revision in Multi-agent Systems.

Degree: Engenharia Electrotécnica e de Computadores, 1999, Universidade do Porto

 The goal of this thesis is twofold: first, we want to present the distributed belief accommodation and revision model for multi-agent systems that has been… (more)

Subjects/Keywords: Multiagent systems; Distributed Artificial Intelligence; Nonmonotonic reasoning and belief revision; Artificial intelligence

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

APA (6th Edition):

Malheiro, M. B. C. N. (1999). Methodologies for Belief Revision in Multi-agent Systems. (Doctoral Dissertation). Universidade do Porto. Retrieved from http://dited.bn.pt:80/29534

Chicago Manual of Style (16th Edition):

Malheiro, Maria Benedita Campos Neves. “Methodologies for Belief Revision in Multi-agent Systems.” 1999. Doctoral Dissertation, Universidade do Porto. Accessed January 22, 2021. http://dited.bn.pt:80/29534.

MLA Handbook (7th Edition):

Malheiro, Maria Benedita Campos Neves. “Methodologies for Belief Revision in Multi-agent Systems.” 1999. Web. 22 Jan 2021.

Vancouver:

Malheiro MBCN. Methodologies for Belief Revision in Multi-agent Systems. [Internet] [Doctoral dissertation]. Universidade do Porto; 1999. [cited 2021 Jan 22]. Available from: http://dited.bn.pt:80/29534.

Council of Science Editors:

Malheiro MBCN. Methodologies for Belief Revision in Multi-agent Systems. [Doctoral Dissertation]. Universidade do Porto; 1999. Available from: http://dited.bn.pt:80/29534


University of Hong Kong

23. 胡跃冰. Consensus control of multi-agent systems.

Degree: 2011, University of Hong Kong

Subjects/Keywords: Intelligent agents (Computer software); Distributed artificial intelligence.

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

APA (6th Edition):

胡跃冰.. (2011). Consensus control of multi-agent systems. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/143208

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

Chicago Manual of Style (16th Edition):

胡跃冰.. “Consensus control of multi-agent systems.” 2011. Thesis, University of Hong Kong. Accessed January 22, 2021. http://hdl.handle.net/10722/143208.

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

MLA Handbook (7th Edition):

胡跃冰.. “Consensus control of multi-agent systems.” 2011. Web. 22 Jan 2021.

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

Vancouver:

胡跃冰.. Consensus control of multi-agent systems. [Internet] [Thesis]. University of Hong Kong; 2011. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10722/143208.

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

Council of Science Editors:

胡跃冰.. Consensus control of multi-agent systems. [Thesis]. University of Hong Kong; 2011. Available from: http://hdl.handle.net/10722/143208

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


University of Georgia

24. Chandrasekaran, Muthukumaran. Approximate model equivalence for interactive dynamic influence diagrams.

Degree: 2014, University of Georgia

 Interactive dynamic influence diagrams (I-DIDs) graphically visualize a sequential decision problem for uncertain settings where multiple agents interact not only amongst themselves but also with… (more)

Subjects/Keywords: Distributed Artificial Intelligence; Multiagent Systems; Decision making; Interactive Dynamic Influence Diagrams; Agent modeling; Behavioral equivalence; Subjective equivalence

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APA (6th Edition):

Chandrasekaran, M. (2014). Approximate model equivalence for interactive dynamic influence diagrams. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/26271

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):

Chandrasekaran, Muthukumaran. “Approximate model equivalence for interactive dynamic influence diagrams.” 2014. Thesis, University of Georgia. Accessed January 22, 2021. http://hdl.handle.net/10724/26271.

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

MLA Handbook (7th Edition):

Chandrasekaran, Muthukumaran. “Approximate model equivalence for interactive dynamic influence diagrams.” 2014. Web. 22 Jan 2021.

Vancouver:

Chandrasekaran M. Approximate model equivalence for interactive dynamic influence diagrams. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10724/26271.

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

Council of Science Editors:

Chandrasekaran M. Approximate model equivalence for interactive dynamic influence diagrams. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/26271

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


University of Johannesburg

25. Heydenrych, Mark. An adaptive multi-agent architecture for critical information infrastructure protection.

Degree: 2014, University of Johannesburg

M.Sc. (Information Technology)

The purpose of the research presented in this dissertation is to explore the uses of an adaptive multi-agent system for critical information… (more)

Subjects/Keywords: Public works - Computer networks - Security measures; National security - Computer networks - Security measures; Multiagent systems; Distributed artificial intelligence

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APA (6th Edition):

Heydenrych, M. (2014). An adaptive multi-agent architecture for critical information infrastructure protection. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/12370

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):

Heydenrych, Mark. “An adaptive multi-agent architecture for critical information infrastructure protection.” 2014. Thesis, University of Johannesburg. Accessed January 22, 2021. http://hdl.handle.net/10210/12370.

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

MLA Handbook (7th Edition):

Heydenrych, Mark. “An adaptive multi-agent architecture for critical information infrastructure protection.” 2014. Web. 22 Jan 2021.

Vancouver:

Heydenrych M. An adaptive multi-agent architecture for critical information infrastructure protection. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10210/12370.

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

Council of Science Editors:

Heydenrych M. An adaptive multi-agent architecture for critical information infrastructure protection. [Thesis]. University of Johannesburg; 2014. Available from: http://hdl.handle.net/10210/12370

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


University of Western Ontario

26. Naikade, Priyanka Prakash. Automated Anomaly Detection and Localization System for a Microservices Based Cloud System.

Degree: 2020, University of Western Ontario

 Context: With an increasing number of applications running on a microservices-based cloud system (such as AWS, GCP, IBM Cloud), it is challenging for the cloud… (more)

Subjects/Keywords: Microservices; Cloud Monitoring; Anomaly Detection; Distributed Tracing; Machine Learning; Performance Anomalies; Artificial Intelligence and Robotics; Other Computer Sciences; Software Engineering

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APA (6th Edition):

Naikade, P. P. (2020). Automated Anomaly Detection and Localization System for a Microservices Based Cloud System. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/7109

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):

Naikade, Priyanka Prakash. “Automated Anomaly Detection and Localization System for a Microservices Based Cloud System.” 2020. Thesis, University of Western Ontario. Accessed January 22, 2021. https://ir.lib.uwo.ca/etd/7109.

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

MLA Handbook (7th Edition):

Naikade, Priyanka Prakash. “Automated Anomaly Detection and Localization System for a Microservices Based Cloud System.” 2020. Web. 22 Jan 2021.

Vancouver:

Naikade PP. Automated Anomaly Detection and Localization System for a Microservices Based Cloud System. [Internet] [Thesis]. University of Western Ontario; 2020. [cited 2021 Jan 22]. Available from: https://ir.lib.uwo.ca/etd/7109.

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

Council of Science Editors:

Naikade PP. Automated Anomaly Detection and Localization System for a Microservices Based Cloud System. [Thesis]. University of Western Ontario; 2020. Available from: https://ir.lib.uwo.ca/etd/7109

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


University of Colorado

27. Komendera, Erik. Precise Assembly of Truss Structures by Distributed Robots.

Degree: PhD, Computer Science, 2014, University of Colorado

  Assembly robots have been in operation in industry for decades, predictably repeating the same precise motions in closed workspaces to assemble products cheaply and… (more)

Subjects/Keywords: distributed robots; optimization; robotic assembly; simultaneous localization and mapping; space telescopes; truss structures; Artificial Intelligence and Robotics; Industrial Engineering; Robotics

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

APA (6th Edition):

Komendera, E. (2014). Precise Assembly of Truss Structures by Distributed Robots. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/91

Chicago Manual of Style (16th Edition):

Komendera, Erik. “Precise Assembly of Truss Structures by Distributed Robots.” 2014. Doctoral Dissertation, University of Colorado. Accessed January 22, 2021. https://scholar.colorado.edu/csci_gradetds/91.

MLA Handbook (7th Edition):

Komendera, Erik. “Precise Assembly of Truss Structures by Distributed Robots.” 2014. Web. 22 Jan 2021.

Vancouver:

Komendera E. Precise Assembly of Truss Structures by Distributed Robots. [Internet] [Doctoral dissertation]. University of Colorado; 2014. [cited 2021 Jan 22]. Available from: https://scholar.colorado.edu/csci_gradetds/91.

Council of Science Editors:

Komendera E. Precise Assembly of Truss Structures by Distributed Robots. [Doctoral Dissertation]. University of Colorado; 2014. Available from: https://scholar.colorado.edu/csci_gradetds/91


University of Colorado

28. Kanakia, Anshul Pradip. Response Threshold Based Task Allocation in Multi-Agent Systems Performing Concurrent Benefit Tasks with Limited Information.

Degree: PhD, Computer Science, 2015, University of Colorado

  One of the most elusive but important goals of swarm robotics is to reproduce the emergent collaborative behavior observed in natural swarming systems through… (more)

Subjects/Keywords: Distributed Algorithms; Game Theory; Multi-Agent Systems; Robotics; Swarm Robotics; Task Allocation; Artificial Intelligence and Robotics; Theory and Algorithms

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

APA (6th Edition):

Kanakia, A. P. (2015). Response Threshold Based Task Allocation in Multi-Agent Systems Performing Concurrent Benefit Tasks with Limited Information. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/108

Chicago Manual of Style (16th Edition):

Kanakia, Anshul Pradip. “Response Threshold Based Task Allocation in Multi-Agent Systems Performing Concurrent Benefit Tasks with Limited Information.” 2015. Doctoral Dissertation, University of Colorado. Accessed January 22, 2021. https://scholar.colorado.edu/csci_gradetds/108.

MLA Handbook (7th Edition):

Kanakia, Anshul Pradip. “Response Threshold Based Task Allocation in Multi-Agent Systems Performing Concurrent Benefit Tasks with Limited Information.” 2015. Web. 22 Jan 2021.

Vancouver:

Kanakia AP. Response Threshold Based Task Allocation in Multi-Agent Systems Performing Concurrent Benefit Tasks with Limited Information. [Internet] [Doctoral dissertation]. University of Colorado; 2015. [cited 2021 Jan 22]. Available from: https://scholar.colorado.edu/csci_gradetds/108.

Council of Science Editors:

Kanakia AP. Response Threshold Based Task Allocation in Multi-Agent Systems Performing Concurrent Benefit Tasks with Limited Information. [Doctoral Dissertation]. University of Colorado; 2015. Available from: https://scholar.colorado.edu/csci_gradetds/108


Duke University

29. Wen, Wei. Efficient and Scalable Deep Learning .

Degree: 2019, Duke University

  Deep Neural Networks (DNNs) can achieve accuracy superior to traditional machine learning models, because of their large learning capacity and the availability of large… (more)

Subjects/Keywords: Artificial intelligence; Computer science; Computer engineering; Deep Neural Networks; Distributed Training; Model Compression; Quantization; Sharp Minima; Sparsity

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

APA (6th Edition):

Wen, W. (2019). Efficient and Scalable Deep Learning . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/20143

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):

Wen, Wei. “Efficient and Scalable Deep Learning .” 2019. Thesis, Duke University. Accessed January 22, 2021. http://hdl.handle.net/10161/20143.

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

MLA Handbook (7th Edition):

Wen, Wei. “Efficient and Scalable Deep Learning .” 2019. Web. 22 Jan 2021.

Vancouver:

Wen W. Efficient and Scalable Deep Learning . [Internet] [Thesis]. Duke University; 2019. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10161/20143.

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

Council of Science Editors:

Wen W. Efficient and Scalable Deep Learning . [Thesis]. Duke University; 2019. Available from: http://hdl.handle.net/10161/20143

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


Lehigh University

30. Tang, Xiaocheng. Big Data Optimization in Machine Learning.

Degree: PhD, Industrial Engineering, 2016, Lehigh University

 Modern machine learning practices at the interface of big data, distributed environment and complex learning objectives post great challenges to designing scalable optimization algorithms with… (more)

Subjects/Keywords: artificial intelligence; convergence; distributed algorithm; machine learning; optimization; structured learning; Engineering; Industrial Engineering; Operations Research, Systems Engineering and Industrial Engineering

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

APA (6th Edition):

Tang, X. (2016). Big Data Optimization in Machine Learning. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2837

Chicago Manual of Style (16th Edition):

Tang, Xiaocheng. “Big Data Optimization in Machine Learning.” 2016. Doctoral Dissertation, Lehigh University. Accessed January 22, 2021. https://preserve.lehigh.edu/etd/2837.

MLA Handbook (7th Edition):

Tang, Xiaocheng. “Big Data Optimization in Machine Learning.” 2016. Web. 22 Jan 2021.

Vancouver:

Tang X. Big Data Optimization in Machine Learning. [Internet] [Doctoral dissertation]. Lehigh University; 2016. [cited 2021 Jan 22]. Available from: https://preserve.lehigh.edu/etd/2837.

Council of Science Editors:

Tang X. Big Data Optimization in Machine Learning. [Doctoral Dissertation]. Lehigh University; 2016. Available from: https://preserve.lehigh.edu/etd/2837

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