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You searched for subject:(Meta learning). Showing records 1 – 30 of 135 total matches.

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Princeton University

1. Ravi, Sachin. Meta-Learning for Data and Processing Efficiency .

Degree: PhD, 2019, Princeton University

 Deep learning models have shown great success in a variety of machine learning benchmarks; however, these models still lack the efficiency and flexibility of humans.… (more)

Subjects/Keywords: Deep Learning; Meta-Learning

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APA (6th Edition):

Ravi, S. (2019). Meta-Learning for Data and Processing Efficiency . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp013j333513x

Chicago Manual of Style (16th Edition):

Ravi, Sachin. “Meta-Learning for Data and Processing Efficiency .” 2019. Doctoral Dissertation, Princeton University. Accessed August 14, 2020. http://arks.princeton.edu/ark:/88435/dsp013j333513x.

MLA Handbook (7th Edition):

Ravi, Sachin. “Meta-Learning for Data and Processing Efficiency .” 2019. Web. 14 Aug 2020.

Vancouver:

Ravi S. Meta-Learning for Data and Processing Efficiency . [Internet] [Doctoral dissertation]. Princeton University; 2019. [cited 2020 Aug 14]. Available from: http://arks.princeton.edu/ark:/88435/dsp013j333513x.

Council of Science Editors:

Ravi S. Meta-Learning for Data and Processing Efficiency . [Doctoral Dissertation]. Princeton University; 2019. Available from: http://arks.princeton.edu/ark:/88435/dsp013j333513x


University of Edinburgh

2. Pang, Kunkun. Learning about the learning process : from active querying to fine-tuning.

Degree: PhD, 2019, University of Edinburgh

 The majority of research on academic machine learning addresses the core model fitting part of the machine learning workflow. However, prior to model fitting, data… (more)

Subjects/Keywords: meta learning; active learning; transfer learning; reinforcement learning; bandit learning

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APA (6th Edition):

Pang, K. (2019). Learning about the learning process : from active querying to fine-tuning. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/36031

Chicago Manual of Style (16th Edition):

Pang, Kunkun. “Learning about the learning process : from active querying to fine-tuning.” 2019. Doctoral Dissertation, University of Edinburgh. Accessed August 14, 2020. http://hdl.handle.net/1842/36031.

MLA Handbook (7th Edition):

Pang, Kunkun. “Learning about the learning process : from active querying to fine-tuning.” 2019. Web. 14 Aug 2020.

Vancouver:

Pang K. Learning about the learning process : from active querying to fine-tuning. [Internet] [Doctoral dissertation]. University of Edinburgh; 2019. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/1842/36031.

Council of Science Editors:

Pang K. Learning about the learning process : from active querying to fine-tuning. [Doctoral Dissertation]. University of Edinburgh; 2019. Available from: http://hdl.handle.net/1842/36031


University of Waikato

3. Davies, Angelena. Appreciating Learning: Children using Appreciative Inquiry as an approach to helping them to understand their learning .

Degree: 2013, University of Waikato

 Understanding one’s own learning (or meta-learning) is a topic of increasing interest in education in the 21st century. Children, who know how they learn, know… (more)

Subjects/Keywords: Appreciative Inquiry; Learning; Meta-learning; strengths-based learning; social constructivist learning

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APA (6th Edition):

Davies, A. (2013). Appreciating Learning: Children using Appreciative Inquiry as an approach to helping them to understand their learning . (Masters Thesis). University of Waikato. Retrieved from http://hdl.handle.net/10289/8464

Chicago Manual of Style (16th Edition):

Davies, Angelena. “Appreciating Learning: Children using Appreciative Inquiry as an approach to helping them to understand their learning .” 2013. Masters Thesis, University of Waikato. Accessed August 14, 2020. http://hdl.handle.net/10289/8464.

MLA Handbook (7th Edition):

Davies, Angelena. “Appreciating Learning: Children using Appreciative Inquiry as an approach to helping them to understand their learning .” 2013. Web. 14 Aug 2020.

Vancouver:

Davies A. Appreciating Learning: Children using Appreciative Inquiry as an approach to helping them to understand their learning . [Internet] [Masters thesis]. University of Waikato; 2013. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10289/8464.

Council of Science Editors:

Davies A. Appreciating Learning: Children using Appreciative Inquiry as an approach to helping them to understand their learning . [Masters Thesis]. University of Waikato; 2013. Available from: http://hdl.handle.net/10289/8464


University of Saskatchewan

4. Sanderson, Patricia. Rethinking learning for the meta-learner in higher education.

Degree: 2014, University of Saskatchewan

 The broad purpose of this dissertation is to stimulate the conversation around both the purpose and conceptions of learning in higher education. In the current… (more)

Subjects/Keywords: learning in higher education meta-learner

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APA (6th Edition):

Sanderson, P. (2014). Rethinking learning for the meta-learner in higher education. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/ETD-2014-09-1766

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):

Sanderson, Patricia. “Rethinking learning for the meta-learner in higher education.” 2014. Thesis, University of Saskatchewan. Accessed August 14, 2020. http://hdl.handle.net/10388/ETD-2014-09-1766.

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

MLA Handbook (7th Edition):

Sanderson, Patricia. “Rethinking learning for the meta-learner in higher education.” 2014. Web. 14 Aug 2020.

Vancouver:

Sanderson P. Rethinking learning for the meta-learner in higher education. [Internet] [Thesis]. University of Saskatchewan; 2014. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10388/ETD-2014-09-1766.

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

Council of Science Editors:

Sanderson P. Rethinking learning for the meta-learner in higher education. [Thesis]. University of Saskatchewan; 2014. Available from: http://hdl.handle.net/10388/ETD-2014-09-1766

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

5. Sun-Hosoya, Lisheng. Meta-Learning as a Markov Decision Process : Meta-Learning en tant que processus de décision Markovien.

Degree: Docteur es, Mathématiques et Informatique, 2019, Université Paris-Saclay (ComUE)

 L'apprentissage automatique (ML) a connu d'énormes succès ces dernières années et repose sur un nombre toujours croissant d'applications réelles. Cependant, la conception d'algorithmes prometteurs pour… (more)

Subjects/Keywords: Apprentissage automatisé; Meta-learning; Processus de décision markovien; AutoML; Meta-learning; Markov Decision Process

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APA (6th Edition):

Sun-Hosoya, L. (2019). Meta-Learning as a Markov Decision Process : Meta-Learning en tant que processus de décision Markovien. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2019SACLS588

Chicago Manual of Style (16th Edition):

Sun-Hosoya, Lisheng. “Meta-Learning as a Markov Decision Process : Meta-Learning en tant que processus de décision Markovien.” 2019. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed August 14, 2020. http://www.theses.fr/2019SACLS588.

MLA Handbook (7th Edition):

Sun-Hosoya, Lisheng. “Meta-Learning as a Markov Decision Process : Meta-Learning en tant que processus de décision Markovien.” 2019. Web. 14 Aug 2020.

Vancouver:

Sun-Hosoya L. Meta-Learning as a Markov Decision Process : Meta-Learning en tant que processus de décision Markovien. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2019. [cited 2020 Aug 14]. Available from: http://www.theses.fr/2019SACLS588.

Council of Science Editors:

Sun-Hosoya L. Meta-Learning as a Markov Decision Process : Meta-Learning en tant que processus de décision Markovien. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2019. Available from: http://www.theses.fr/2019SACLS588


University of Illinois – Urbana-Champaign

6. Ganju, Karan. Inferring properties of neural networks with intelligent designs.

Degree: MS, Computer Science, 2018, University of Illinois – Urbana-Champaign

 Neural networks have become popular tools for many inference tasks nowadays. However, these networks are functions derived from their training data and thorough analysis of… (more)

Subjects/Keywords: Deep Learning; Privacy; Security; Property Inference; Meta-Classifiers; Meta Classifier; Machine Learning

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APA (6th Edition):

Ganju, K. (2018). Inferring properties of neural networks with intelligent designs. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101049

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):

Ganju, Karan. “Inferring properties of neural networks with intelligent designs.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed August 14, 2020. http://hdl.handle.net/2142/101049.

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

MLA Handbook (7th Edition):

Ganju, Karan. “Inferring properties of neural networks with intelligent designs.” 2018. Web. 14 Aug 2020.

Vancouver:

Ganju K. Inferring properties of neural networks with intelligent designs. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/2142/101049.

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

Council of Science Editors:

Ganju K. Inferring properties of neural networks with intelligent designs. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101049

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


Princeton University

7. Lee, Donghun. Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon .

Degree: PhD, 2019, Princeton University

 Most machine learning algorithms with asymptotic guarantees leave finite time horizon issues such as initialization or tuning open to the end users, to whom the… (more)

Subjects/Keywords: Artificial Intelligence; Learning to Learn Optimally; Machine Learning; Meta Learning

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APA (6th Edition):

Lee, D. (2019). Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01zw12z8183

Chicago Manual of Style (16th Edition):

Lee, Donghun. “Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon .” 2019. Doctoral Dissertation, Princeton University. Accessed August 14, 2020. http://arks.princeton.edu/ark:/88435/dsp01zw12z8183.

MLA Handbook (7th Edition):

Lee, Donghun. “Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon .” 2019. Web. 14 Aug 2020.

Vancouver:

Lee D. Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon . [Internet] [Doctoral dissertation]. Princeton University; 2019. [cited 2020 Aug 14]. Available from: http://arks.princeton.edu/ark:/88435/dsp01zw12z8183.

Council of Science Editors:

Lee D. Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon . [Doctoral Dissertation]. Princeton University; 2019. Available from: http://arks.princeton.edu/ark:/88435/dsp01zw12z8183


Princeton University

8. Lee, Donghun. Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon .

Degree: PhD, 2019, Princeton University

 Most machine learning algorithms with asymptotic guarantees leave finite time horizon issues such as initialization or tuning open to the end users, to whom the… (more)

Subjects/Keywords: Artificial Intelligence; Learning to Learn Optimally; Machine Learning; Meta Learning

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APA (6th Edition):

Lee, D. (2019). Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp014t64gr05m

Chicago Manual of Style (16th Edition):

Lee, Donghun. “Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon .” 2019. Doctoral Dissertation, Princeton University. Accessed August 14, 2020. http://arks.princeton.edu/ark:/88435/dsp014t64gr05m.

MLA Handbook (7th Edition):

Lee, Donghun. “Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon .” 2019. Web. 14 Aug 2020.

Vancouver:

Lee D. Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon . [Internet] [Doctoral dissertation]. Princeton University; 2019. [cited 2020 Aug 14]. Available from: http://arks.princeton.edu/ark:/88435/dsp014t64gr05m.

Council of Science Editors:

Lee D. Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon . [Doctoral Dissertation]. Princeton University; 2019. Available from: http://arks.princeton.edu/ark:/88435/dsp014t64gr05m


King Abdullah University of Science and Technology

9. Audretsch, James. Earthquake Detection using Deep Learning Based Approaches.

Degree: 2020, King Abdullah University of Science and Technology

 Earthquake detection is an important task, focusing on detecting seismic events in past data or in real time from seismic time series. In the past… (more)

Subjects/Keywords: Machine Learning; Seismology; Deep Learning; Earthquake Detection; Meta Learning

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APA (6th Edition):

Audretsch, J. (2020). Earthquake Detection using Deep Learning Based Approaches. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/662251

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):

Audretsch, James. “Earthquake Detection using Deep Learning Based Approaches.” 2020. Thesis, King Abdullah University of Science and Technology. Accessed August 14, 2020. http://hdl.handle.net/10754/662251.

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

MLA Handbook (7th Edition):

Audretsch, James. “Earthquake Detection using Deep Learning Based Approaches.” 2020. Web. 14 Aug 2020.

Vancouver:

Audretsch J. Earthquake Detection using Deep Learning Based Approaches. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2020. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10754/662251.

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

Council of Science Editors:

Audretsch J. Earthquake Detection using Deep Learning Based Approaches. [Thesis]. King Abdullah University of Science and Technology; 2020. Available from: http://hdl.handle.net/10754/662251

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


University of California – Berkeley

10. Finn, Chelsea. Learning to Learn with Gradients.

Degree: Computer Science, 2018, University of California – Berkeley

 Humans have a remarkable ability to learn new concepts from only a few examples and quickly adapt to unforeseen circumstances. To do so, they build… (more)

Subjects/Keywords: Artificial intelligence; Robotics; Computer science; few-shot learning; learning to learn; meta-learning; meta-reinforcement learning

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APA (6th Edition):

Finn, C. (2018). Learning to Learn with Gradients. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/0987d4n3

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):

Finn, Chelsea. “Learning to Learn with Gradients.” 2018. Thesis, University of California – Berkeley. Accessed August 14, 2020. http://www.escholarship.org/uc/item/0987d4n3.

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

MLA Handbook (7th Edition):

Finn, Chelsea. “Learning to Learn with Gradients.” 2018. Web. 14 Aug 2020.

Vancouver:

Finn C. Learning to Learn with Gradients. [Internet] [Thesis]. University of California – Berkeley; 2018. [cited 2020 Aug 14]. Available from: http://www.escholarship.org/uc/item/0987d4n3.

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

Council of Science Editors:

Finn C. Learning to Learn with Gradients. [Thesis]. University of California – Berkeley; 2018. Available from: http://www.escholarship.org/uc/item/0987d4n3

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

11. Kanda, Jorge Yoshio. Uso de meta-aprendizado na recomendação de meta-heurísticas para o problema do caixeiro viajante.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2012, University of São Paulo

O problema do caixeiro viajante (PCV) é um problema clássico de otimização que possui diversas variações, aplicações e instâncias. Encontrar a solução ótima para muitas… (more)

Subjects/Keywords: Algorithm selection problem; Aprendizado de máquina; Machine learning; Meta-aprendizado; Meta-heurísticas; Meta-heuristics; Meta-learning; Problema de seleção de algoritmos; Problema do caixeiro viajante; Traveling salesman problem

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APA (6th Edition):

Kanda, J. Y. (2012). Uso de meta-aprendizado na recomendação de meta-heurísticas para o problema do caixeiro viajante. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19022013-142839/ ;

Chicago Manual of Style (16th Edition):

Kanda, Jorge Yoshio. “Uso de meta-aprendizado na recomendação de meta-heurísticas para o problema do caixeiro viajante.” 2012. Doctoral Dissertation, University of São Paulo. Accessed August 14, 2020. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19022013-142839/ ;.

MLA Handbook (7th Edition):

Kanda, Jorge Yoshio. “Uso de meta-aprendizado na recomendação de meta-heurísticas para o problema do caixeiro viajante.” 2012. Web. 14 Aug 2020.

Vancouver:

Kanda JY. Uso de meta-aprendizado na recomendação de meta-heurísticas para o problema do caixeiro viajante. [Internet] [Doctoral dissertation]. University of São Paulo; 2012. [cited 2020 Aug 14]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19022013-142839/ ;.

Council of Science Editors:

Kanda JY. Uso de meta-aprendizado na recomendação de meta-heurísticas para o problema do caixeiro viajante. [Doctoral Dissertation]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19022013-142839/ ;

12. MOURA, Shayane de Oliveira. Uma abordagem para a escolha do melhor método de seleção de instâncias usando meta-aprendizagem .

Degree: 2015, Universidade Federal de Pernambuco

 Os sistemas de Descoberta de Conhecimentos em Bases de Dados (mais conhecidos como sistemas KDD) e métodos de Aprendizagem de Máquinas preveem situações, agrupam e… (more)

Subjects/Keywords: Aprendizagem de Máquinas; Mineração de Dados; Meta-aprendizagem; Métodos de Seleção de Instâncias (MSI); Meta-CISM; Machine Learning; Data Mining; Meta-learning; Instance Selection Method (ISM); Meta-CISM

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APA (6th Edition):

MOURA, S. d. O. (2015). Uma abordagem para a escolha do melhor método de seleção de instâncias usando meta-aprendizagem . (Masters Thesis). Universidade Federal de Pernambuco. Retrieved from https://repositorio.ufpe.br/handle/123456789/16311

Chicago Manual of Style (16th Edition):

MOURA, Shayane de Oliveira. “Uma abordagem para a escolha do melhor método de seleção de instâncias usando meta-aprendizagem .” 2015. Masters Thesis, Universidade Federal de Pernambuco. Accessed August 14, 2020. https://repositorio.ufpe.br/handle/123456789/16311.

MLA Handbook (7th Edition):

MOURA, Shayane de Oliveira. “Uma abordagem para a escolha do melhor método de seleção de instâncias usando meta-aprendizagem .” 2015. Web. 14 Aug 2020.

Vancouver:

MOURA SdO. Uma abordagem para a escolha do melhor método de seleção de instâncias usando meta-aprendizagem . [Internet] [Masters thesis]. Universidade Federal de Pernambuco; 2015. [cited 2020 Aug 14]. Available from: https://repositorio.ufpe.br/handle/123456789/16311.

Council of Science Editors:

MOURA SdO. Uma abordagem para a escolha do melhor método de seleção de instâncias usando meta-aprendizagem . [Masters Thesis]. Universidade Federal de Pernambuco; 2015. Available from: https://repositorio.ufpe.br/handle/123456789/16311


University of Guelph

13. ELmahgiubi, Mohammed. An Efficient Framework for Automatic Algorithm Selection using Meta-Learning.

Degree: Master of Applied Science, School of Engineering, 2016, University of Guelph

 With the unprecedented growth of Information and communication technology (ICT) industry, core networking devices become highly stringent elements of the network due to the increase… (more)

Subjects/Keywords: Machine Learning; Meta-Learning; Algorithm Selection; Packet Classification

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APA (6th Edition):

ELmahgiubi, M. (2016). An Efficient Framework for Automatic Algorithm Selection using Meta-Learning. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9972

Chicago Manual of Style (16th Edition):

ELmahgiubi, Mohammed. “An Efficient Framework for Automatic Algorithm Selection using Meta-Learning.” 2016. Masters Thesis, University of Guelph. Accessed August 14, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9972.

MLA Handbook (7th Edition):

ELmahgiubi, Mohammed. “An Efficient Framework for Automatic Algorithm Selection using Meta-Learning.” 2016. Web. 14 Aug 2020.

Vancouver:

ELmahgiubi M. An Efficient Framework for Automatic Algorithm Selection using Meta-Learning. [Internet] [Masters thesis]. University of Guelph; 2016. [cited 2020 Aug 14]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9972.

Council of Science Editors:

ELmahgiubi M. An Efficient Framework for Automatic Algorithm Selection using Meta-Learning. [Masters Thesis]. University of Guelph; 2016. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9972


University of California – Berkeley

14. Duan, Yan. Meta Learning for Control.

Degree: Computer Science, 2017, University of California – Berkeley

 In this thesis, we discuss meta learning for control:policy learning algorithms that can themselves generate algorithms that are highly customized towards a certain domain of… (more)

Subjects/Keywords: Artificial intelligence; Artificial Intelligence; Deep Learning; Machine Learning; Meta Learning; Neural Networks

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APA (6th Edition):

Duan, Y. (2017). Meta Learning for Control. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/20z5k8dq

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):

Duan, Yan. “Meta Learning for Control.” 2017. Thesis, University of California – Berkeley. Accessed August 14, 2020. http://www.escholarship.org/uc/item/20z5k8dq.

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

MLA Handbook (7th Edition):

Duan, Yan. “Meta Learning for Control.” 2017. Web. 14 Aug 2020.

Vancouver:

Duan Y. Meta Learning for Control. [Internet] [Thesis]. University of California – Berkeley; 2017. [cited 2020 Aug 14]. Available from: http://www.escholarship.org/uc/item/20z5k8dq.

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

Council of Science Editors:

Duan Y. Meta Learning for Control. [Thesis]. University of California – Berkeley; 2017. Available from: http://www.escholarship.org/uc/item/20z5k8dq

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

15. Raynaut, William. Perspectives de méta-analyse pour un environnement d'aide à la simulation et prédiction : Meta-analysis perspectives toward assistance in prediction and simulation.

Degree: Docteur es, Intelligence artificielle, 2018, Université Toulouse III – Paul Sabatier

L'émergence du phénomène Big Data a créé un besoin grandissant en analyse de données, mais, bien souvent, cette analyse est conduite par des experts de… (more)

Subjects/Keywords: Analyse de données; Méta-analyse; Apprentissage automatique; Méta-apprentissage; Data analysis; Meta-analysis; Machine learning; Meta-learning

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APA (6th Edition):

Raynaut, W. (2018). Perspectives de méta-analyse pour un environnement d'aide à la simulation et prédiction : Meta-analysis perspectives toward assistance in prediction and simulation. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2018TOU30005

Chicago Manual of Style (16th Edition):

Raynaut, William. “Perspectives de méta-analyse pour un environnement d'aide à la simulation et prédiction : Meta-analysis perspectives toward assistance in prediction and simulation.” 2018. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed August 14, 2020. http://www.theses.fr/2018TOU30005.

MLA Handbook (7th Edition):

Raynaut, William. “Perspectives de méta-analyse pour un environnement d'aide à la simulation et prédiction : Meta-analysis perspectives toward assistance in prediction and simulation.” 2018. Web. 14 Aug 2020.

Vancouver:

Raynaut W. Perspectives de méta-analyse pour un environnement d'aide à la simulation et prédiction : Meta-analysis perspectives toward assistance in prediction and simulation. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2018. [cited 2020 Aug 14]. Available from: http://www.theses.fr/2018TOU30005.

Council of Science Editors:

Raynaut W. Perspectives de méta-analyse pour un environnement d'aide à la simulation et prédiction : Meta-analysis perspectives toward assistance in prediction and simulation. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2018. Available from: http://www.theses.fr/2018TOU30005

16. Contardo, Gabriella. Machine learning under budget constraints : Apprentissage statistique sous contraintes de budget.

Degree: Docteur es, Informatique, 2017, Université Pierre et Marie Curie – Paris VI

Cette thèse propose de s'intéresser au problème de la prédiction en apprentissage statistique sous contrainte de coût, notamment du coût de l'information utilisée par le… (more)

Subjects/Keywords: Apprentissage statistique; Acquisition de caractéristiques; Apprentissage sous contrainte; Apprentissage actif; Meta apprentissage; Machine learning; Feature acquisition; Meta-learning; 004

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APA (6th Edition):

Contardo, G. (2017). Machine learning under budget constraints : Apprentissage statistique sous contraintes de budget. (Doctoral Dissertation). Université Pierre et Marie Curie – Paris VI. Retrieved from http://www.theses.fr/2017PA066203

Chicago Manual of Style (16th Edition):

Contardo, Gabriella. “Machine learning under budget constraints : Apprentissage statistique sous contraintes de budget.” 2017. Doctoral Dissertation, Université Pierre et Marie Curie – Paris VI. Accessed August 14, 2020. http://www.theses.fr/2017PA066203.

MLA Handbook (7th Edition):

Contardo, Gabriella. “Machine learning under budget constraints : Apprentissage statistique sous contraintes de budget.” 2017. Web. 14 Aug 2020.

Vancouver:

Contardo G. Machine learning under budget constraints : Apprentissage statistique sous contraintes de budget. [Internet] [Doctoral dissertation]. Université Pierre et Marie Curie – Paris VI; 2017. [cited 2020 Aug 14]. Available from: http://www.theses.fr/2017PA066203.

Council of Science Editors:

Contardo G. Machine learning under budget constraints : Apprentissage statistique sous contraintes de budget. [Doctoral Dissertation]. Université Pierre et Marie Curie – Paris VI; 2017. Available from: http://www.theses.fr/2017PA066203


Georgia Tech

17. Mehta, Nishant A. On sparse representations and new meta-learning paradigms for representation learning.

Degree: PhD, Computer Science, 2013, Georgia Tech

 Given the "right" representation, learning is easy. This thesis studies representation learning and meta-learning, with a special focus on sparse representations. Meta-learning is fundamental to… (more)

Subjects/Keywords: Learning theory; Data-dependent complexity; Luckiness; Dictionary learning; Sparse coding; Lasso; Multi-task learning; Meta-learning; Learning to learn

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APA (6th Edition):

Mehta, N. A. (2013). On sparse representations and new meta-learning paradigms for representation learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52159

Chicago Manual of Style (16th Edition):

Mehta, Nishant A. “On sparse representations and new meta-learning paradigms for representation learning.” 2013. Doctoral Dissertation, Georgia Tech. Accessed August 14, 2020. http://hdl.handle.net/1853/52159.

MLA Handbook (7th Edition):

Mehta, Nishant A. “On sparse representations and new meta-learning paradigms for representation learning.” 2013. Web. 14 Aug 2020.

Vancouver:

Mehta NA. On sparse representations and new meta-learning paradigms for representation learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/1853/52159.

Council of Science Editors:

Mehta NA. On sparse representations and new meta-learning paradigms for representation learning. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52159


Texas A&M University

18. Alpaslan, Muhammet Mustafa. Descriptive Studies of the Relations between Personal Epistemology and Self-Regulated Learning.

Degree: PhD, Curriculum and Instruction, 2014, Texas A&M University

 In my dissertation, I have examined the relations between students’ personal epistemologies and self-regulated learning. I have conducted three independent studies for my three-article dissertation.… (more)

Subjects/Keywords: Personal epistemology; self-regulated learning; meta-analysis; physics education

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APA (6th Edition):

Alpaslan, M. M. (2014). Descriptive Studies of the Relations between Personal Epistemology and Self-Regulated Learning. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153475

Chicago Manual of Style (16th Edition):

Alpaslan, Muhammet Mustafa. “Descriptive Studies of the Relations between Personal Epistemology and Self-Regulated Learning.” 2014. Doctoral Dissertation, Texas A&M University. Accessed August 14, 2020. http://hdl.handle.net/1969.1/153475.

MLA Handbook (7th Edition):

Alpaslan, Muhammet Mustafa. “Descriptive Studies of the Relations between Personal Epistemology and Self-Regulated Learning.” 2014. Web. 14 Aug 2020.

Vancouver:

Alpaslan MM. Descriptive Studies of the Relations between Personal Epistemology and Self-Regulated Learning. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/1969.1/153475.

Council of Science Editors:

Alpaslan MM. Descriptive Studies of the Relations between Personal Epistemology and Self-Regulated Learning. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153475


Virginia Tech

19. Chen, Xin. An Integrative Review of the Effects of Social Presence on Distance Education.

Degree: PhD, Teaching and Learning, 2014, Virginia Tech

 Social presence has drawn great attention in the last three decades. A large number of studies attempted to prove that social presence exerted an effect… (more)

Subjects/Keywords: Social Presence; Distance Learning; Integrative Review; Meta-Analysis; Interaction

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APA (6th Edition):

Chen, X. (2014). An Integrative Review of the Effects of Social Presence on Distance Education. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71298

Chicago Manual of Style (16th Edition):

Chen, Xin. “An Integrative Review of the Effects of Social Presence on Distance Education.” 2014. Doctoral Dissertation, Virginia Tech. Accessed August 14, 2020. http://hdl.handle.net/10919/71298.

MLA Handbook (7th Edition):

Chen, Xin. “An Integrative Review of the Effects of Social Presence on Distance Education.” 2014. Web. 14 Aug 2020.

Vancouver:

Chen X. An Integrative Review of the Effects of Social Presence on Distance Education. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10919/71298.

Council of Science Editors:

Chen X. An Integrative Review of the Effects of Social Presence on Distance Education. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/71298

20. Moote, Julie Katherine. When students lead : investigating the impact of the CREST inquiry-based learning programme on changes in self-regulated processes and related motivations among young science students.

Degree: PhD, 2014, University of Edinburgh

 This thesis explores the impact of an inquiry-based learning programme on students’ self-reported levels of self-regulated processes and related motivations in the science classroom. Appreciating… (more)

Subjects/Keywords: 507.1; self-regulation; self-regulated learning; meta-cognition; motivation; science

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APA (6th Edition):

Moote, J. K. (2014). When students lead : investigating the impact of the CREST inquiry-based learning programme on changes in self-regulated processes and related motivations among young science students. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/9828

Chicago Manual of Style (16th Edition):

Moote, Julie Katherine. “When students lead : investigating the impact of the CREST inquiry-based learning programme on changes in self-regulated processes and related motivations among young science students.” 2014. Doctoral Dissertation, University of Edinburgh. Accessed August 14, 2020. http://hdl.handle.net/1842/9828.

MLA Handbook (7th Edition):

Moote, Julie Katherine. “When students lead : investigating the impact of the CREST inquiry-based learning programme on changes in self-regulated processes and related motivations among young science students.” 2014. Web. 14 Aug 2020.

Vancouver:

Moote JK. When students lead : investigating the impact of the CREST inquiry-based learning programme on changes in self-regulated processes and related motivations among young science students. [Internet] [Doctoral dissertation]. University of Edinburgh; 2014. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/1842/9828.

Council of Science Editors:

Moote JK. When students lead : investigating the impact of the CREST inquiry-based learning programme on changes in self-regulated processes and related motivations among young science students. [Doctoral Dissertation]. University of Edinburgh; 2014. Available from: http://hdl.handle.net/1842/9828


University of Toronto

21. Burek, Brittany Lauren. Pilot Study Investigating the Impacts of Behavioural Inattention and Meta-Attention on Post-Secondary Students' Online Information Seeking for Academic Purposes.

Degree: 2017, University of Toronto

Success at the graduate level of postsecondary education requires proficiency with academic online information seeking. Navigating the internet to find information is a complicated task… (more)

Subjects/Keywords: attention; e-learning; information seeking; meta-attention; online information seeking; 0525

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APA (6th Edition):

Burek, B. L. (2017). Pilot Study Investigating the Impacts of Behavioural Inattention and Meta-Attention on Post-Secondary Students' Online Information Seeking for Academic Purposes. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/79045

Chicago Manual of Style (16th Edition):

Burek, Brittany Lauren. “Pilot Study Investigating the Impacts of Behavioural Inattention and Meta-Attention on Post-Secondary Students' Online Information Seeking for Academic Purposes.” 2017. Masters Thesis, University of Toronto. Accessed August 14, 2020. http://hdl.handle.net/1807/79045.

MLA Handbook (7th Edition):

Burek, Brittany Lauren. “Pilot Study Investigating the Impacts of Behavioural Inattention and Meta-Attention on Post-Secondary Students' Online Information Seeking for Academic Purposes.” 2017. Web. 14 Aug 2020.

Vancouver:

Burek BL. Pilot Study Investigating the Impacts of Behavioural Inattention and Meta-Attention on Post-Secondary Students' Online Information Seeking for Academic Purposes. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/1807/79045.

Council of Science Editors:

Burek BL. Pilot Study Investigating the Impacts of Behavioural Inattention and Meta-Attention on Post-Secondary Students' Online Information Seeking for Academic Purposes. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/79045


University of Houston

22. Ocegueda-Hernandez, Francisco 1978-. AN EMPIRICAL STUDY OF THE SUITABILITY OF CLASS DECOMPOSITION FOR LINEAR CLASSIFIERS.

Degree: PhD, Computer Science, 2012, University of Houston

 The presence of sub-classes within a data sample suggests a class decomposition approach to classification, where each subclass is treated as a new class. Class… (more)

Subjects/Keywords: Meta-learning; Model Selection in Classification; Computer science

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APA (6th Edition):

Ocegueda-Hernandez, F. 1. (2012). AN EMPIRICAL STUDY OF THE SUITABILITY OF CLASS DECOMPOSITION FOR LINEAR CLASSIFIERS. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/798

Chicago Manual of Style (16th Edition):

Ocegueda-Hernandez, Francisco 1978-. “AN EMPIRICAL STUDY OF THE SUITABILITY OF CLASS DECOMPOSITION FOR LINEAR CLASSIFIERS.” 2012. Doctoral Dissertation, University of Houston. Accessed August 14, 2020. http://hdl.handle.net/10657/798.

MLA Handbook (7th Edition):

Ocegueda-Hernandez, Francisco 1978-. “AN EMPIRICAL STUDY OF THE SUITABILITY OF CLASS DECOMPOSITION FOR LINEAR CLASSIFIERS.” 2012. Web. 14 Aug 2020.

Vancouver:

Ocegueda-Hernandez F1. AN EMPIRICAL STUDY OF THE SUITABILITY OF CLASS DECOMPOSITION FOR LINEAR CLASSIFIERS. [Internet] [Doctoral dissertation]. University of Houston; 2012. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10657/798.

Council of Science Editors:

Ocegueda-Hernandez F1. AN EMPIRICAL STUDY OF THE SUITABILITY OF CLASS DECOMPOSITION FOR LINEAR CLASSIFIERS. [Doctoral Dissertation]. University of Houston; 2012. Available from: http://hdl.handle.net/10657/798


University of New Mexico

23. Armstrong, Stephanie. A meta-analysis of the effect of the physical education learning environment on student outcomes.

Degree: Health, Exercise, and Sports Sciences, 2016, University of New Mexico

 Understanding the qualities of effective teachers and finding accurate measures of student outcomes becomes paramount to knowing how to replicate student success from year to… (more)

Subjects/Keywords: physical education; learning environment; student outcomes; meta-analysis; appropriate practices

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APA (6th Edition):

Armstrong, S. (2016). A meta-analysis of the effect of the physical education learning environment on student outcomes. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/32274

Chicago Manual of Style (16th Edition):

Armstrong, Stephanie. “A meta-analysis of the effect of the physical education learning environment on student outcomes.” 2016. Doctoral Dissertation, University of New Mexico. Accessed August 14, 2020. http://hdl.handle.net/1928/32274.

MLA Handbook (7th Edition):

Armstrong, Stephanie. “A meta-analysis of the effect of the physical education learning environment on student outcomes.” 2016. Web. 14 Aug 2020.

Vancouver:

Armstrong S. A meta-analysis of the effect of the physical education learning environment on student outcomes. [Internet] [Doctoral dissertation]. University of New Mexico; 2016. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/1928/32274.

Council of Science Editors:

Armstrong S. A meta-analysis of the effect of the physical education learning environment on student outcomes. [Doctoral Dissertation]. University of New Mexico; 2016. Available from: http://hdl.handle.net/1928/32274


University of Georgia

24. Nural, Mustafa Veysi. Ontology-based semantics vs meta-learning for predictive big data analytics.

Degree: PhD, Computer Science, 2017, University of Georgia

 Predictive analytics in the big data era is taking on an ever increasingly important role. Issues related to choice on modeling technique, estimation procedure (or… (more)

Subjects/Keywords: predictive big data analytics; automated modeling; meta-learning; ontology-based semantics; machine learning

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APA (6th Edition):

Nural, M. V. (2017). Ontology-based semantics vs meta-learning for predictive big data analytics. (Doctoral Dissertation). University of Georgia. Retrieved from http://hdl.handle.net/10724/37821

Chicago Manual of Style (16th Edition):

Nural, Mustafa Veysi. “Ontology-based semantics vs meta-learning for predictive big data analytics.” 2017. Doctoral Dissertation, University of Georgia. Accessed August 14, 2020. http://hdl.handle.net/10724/37821.

MLA Handbook (7th Edition):

Nural, Mustafa Veysi. “Ontology-based semantics vs meta-learning for predictive big data analytics.” 2017. Web. 14 Aug 2020.

Vancouver:

Nural MV. Ontology-based semantics vs meta-learning for predictive big data analytics. [Internet] [Doctoral dissertation]. University of Georgia; 2017. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10724/37821.

Council of Science Editors:

Nural MV. Ontology-based semantics vs meta-learning for predictive big data analytics. [Doctoral Dissertation]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37821


University of New South Wales

25. Pratama, Mahardhika. Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments.

Degree: Engineering & Information Technology Canberra, 2014, University of New South Wales

 In this research, evolving neuro-fuzzy systems, emphasizing a low computational power, high predictive accuracy and transparent working framework, are proposed. The proposed evolving neuro-fuzzy system… (more)

Subjects/Keywords: meta-cognitive learning; evolving fuzzy systems; fuzzy neural networks; sequential learning; data streams

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APA (6th Edition):

Pratama, M. (2014). Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53977 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12688/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Pratama, Mahardhika. “Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments.” 2014. Doctoral Dissertation, University of New South Wales. Accessed August 14, 2020. http://handle.unsw.edu.au/1959.4/53977 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12688/SOURCE02?view=true.

MLA Handbook (7th Edition):

Pratama, Mahardhika. “Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments.” 2014. Web. 14 Aug 2020.

Vancouver:

Pratama M. Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2020 Aug 14]. Available from: http://handle.unsw.edu.au/1959.4/53977 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12688/SOURCE02?view=true.

Council of Science Editors:

Pratama M. Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53977 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12688/SOURCE02?view=true


University of South Africa

26. Mnkandla, Ernest. A meta-synthesis on the usability of social media blends in e-learning .

Degree: 2016, University of South Africa

 Distance education has by nature always depended on technology as a vehicle for various media used to facilitate learning. Today as technology has taken centre… (more)

Subjects/Keywords: Distance education; Open distance learning; Social media blends; E-learning; Online learning; Qualitative research; Connectivism; Constructivism; Meta-synthesis; Online collaborative learning

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APA (6th Edition):

Mnkandla, E. (2016). A meta-synthesis on the usability of social media blends in e-learning . (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/21036

Chicago Manual of Style (16th Edition):

Mnkandla, Ernest. “A meta-synthesis on the usability of social media blends in e-learning .” 2016. Masters Thesis, University of South Africa. Accessed August 14, 2020. http://hdl.handle.net/10500/21036.

MLA Handbook (7th Edition):

Mnkandla, Ernest. “A meta-synthesis on the usability of social media blends in e-learning .” 2016. Web. 14 Aug 2020.

Vancouver:

Mnkandla E. A meta-synthesis on the usability of social media blends in e-learning . [Internet] [Masters thesis]. University of South Africa; 2016. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10500/21036.

Council of Science Editors:

Mnkandla E. A meta-synthesis on the usability of social media blends in e-learning . [Masters Thesis]. University of South Africa; 2016. Available from: http://hdl.handle.net/10500/21036

27. Kaşarcı, İsmail. Proje tabanlı öğrenme yaklaşımının öğrencilerin akademik başarı ve tutumlarına etkisi: bir meta-analiz çalışması .

Degree: ESOGÜ, Eğitim Fakültesi, Eğitim Bilimleri, 2013, Eskisehir Osmangazi University

 Özellikle 2004 yılından sonra yapılandırmacı öğretim yaklaşımı alanında ülkemizde yapılan çalışmaların sayısında artış yaşanmıştır. Yapılandırmacı yaklaşımın öğretim yöntemlerinden olan proje tabanlı öğrenme yaklaşımının öğrencilerin başarıları… (more)

Subjects/Keywords: Proje Tabanlı Öğrenme; Akademik Başarı; Tutum; Meta-Analiz; Project Based Learning; Academic Achievement; Attitude; Meta-Analysis

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APA (6th Edition):

Kaşarcı, . (2013). Proje tabanlı öğrenme yaklaşımının öğrencilerin akademik başarı ve tutumlarına etkisi: bir meta-analiz çalışması . (Thesis). Eskisehir Osmangazi University. Retrieved from http://hdl.handle.net/11684/995

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):

Kaşarcı, İsmail. “Proje tabanlı öğrenme yaklaşımının öğrencilerin akademik başarı ve tutumlarına etkisi: bir meta-analiz çalışması .” 2013. Thesis, Eskisehir Osmangazi University. Accessed August 14, 2020. http://hdl.handle.net/11684/995.

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

MLA Handbook (7th Edition):

Kaşarcı, İsmail. “Proje tabanlı öğrenme yaklaşımının öğrencilerin akademik başarı ve tutumlarına etkisi: bir meta-analiz çalışması .” 2013. Web. 14 Aug 2020.

Vancouver:

Kaşarcı . Proje tabanlı öğrenme yaklaşımının öğrencilerin akademik başarı ve tutumlarına etkisi: bir meta-analiz çalışması . [Internet] [Thesis]. Eskisehir Osmangazi University; 2013. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11684/995.

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

Council of Science Editors:

Kaşarcı . Proje tabanlı öğrenme yaklaşımının öğrencilerin akademik başarı ve tutumlarına etkisi: bir meta-analiz çalışması . [Thesis]. Eskisehir Osmangazi University; 2013. Available from: http://hdl.handle.net/11684/995

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

28. MIRANDA, Pericles Barbosa Cunha de. Uma hiper-heurística híbrida para a otimização de algorítmos .

Degree: 2016, Universidade Federal de Pernambuco

 A escolha de algoritmos ou heurísticas para a resolução de um dado problema é uma tarefa desafiadora devido à variedade de possíveis escolhas de variações/configurações… (more)

Subjects/Keywords: Meta-aprendizado. Otimização por enxame de partículas. Programação Genética. Geração de algoritmos.; Meta-learning. Particle Swarm Optimization. Genetic Programming. Algorithm generation.

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APA (6th Edition):

MIRANDA, P. B. C. d. (2016). Uma hiper-heurística híbrida para a otimização de algorítmos . (Doctoral Dissertation). Universidade Federal de Pernambuco. Retrieved from https://repositorio.ufpe.br/handle/123456789/18703

Chicago Manual of Style (16th Edition):

MIRANDA, Pericles Barbosa Cunha de. “Uma hiper-heurística híbrida para a otimização de algorítmos .” 2016. Doctoral Dissertation, Universidade Federal de Pernambuco. Accessed August 14, 2020. https://repositorio.ufpe.br/handle/123456789/18703.

MLA Handbook (7th Edition):

MIRANDA, Pericles Barbosa Cunha de. “Uma hiper-heurística híbrida para a otimização de algorítmos .” 2016. Web. 14 Aug 2020.

Vancouver:

MIRANDA PBCd. Uma hiper-heurística híbrida para a otimização de algorítmos . [Internet] [Doctoral dissertation]. Universidade Federal de Pernambuco; 2016. [cited 2020 Aug 14]. Available from: https://repositorio.ufpe.br/handle/123456789/18703.

Council of Science Editors:

MIRANDA PBCd. Uma hiper-heurística híbrida para a otimização de algorítmos . [Doctoral Dissertation]. Universidade Federal de Pernambuco; 2016. Available from: https://repositorio.ufpe.br/handle/123456789/18703

29. Jumurov Ruslan. Meta-optimalizace solveru systému generálního a hlavního klíče .

Degree: Czech University of Technology

 Many practical problems are NP-Hard (or NP-Complete), for which best algorithms may guarantee only exponential worth-case time complexity, if P != NP. Typically, these algorithms… (more)

Subjects/Keywords: Meta-optimization; Lock-chart; meta-heuristic; Machine Learning

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APA (6th Edition):

Ruslan, J. (n.d.). Meta-optimalizace solveru systému generálního a hlavního klíče . (Thesis). Czech University of Technology. Retrieved from http://hdl.handle.net/10467/61623

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):

Ruslan, Jumurov. “Meta-optimalizace solveru systému generálního a hlavního klíče .” Thesis, Czech University of Technology. Accessed August 14, 2020. http://hdl.handle.net/10467/61623.

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):

Ruslan, Jumurov. “Meta-optimalizace solveru systému generálního a hlavního klíče .” Web. 14 Aug 2020.

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

Vancouver:

Ruslan J. Meta-optimalizace solveru systému generálního a hlavního klíče . [Internet] [Thesis]. Czech University of Technology; [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10467/61623.

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:

Ruslan J. Meta-optimalizace solveru systému generálního a hlavního klíče . [Thesis]. Czech University of Technology; Available from: http://hdl.handle.net/10467/61623

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

30. Vermeulen, Mathieu. Une approche meta-design des learning games pour développer leur usage : A meta-design approach of learning games to developp their use.

Degree: Docteur es, Informatique, 2018, Sorbonne université

Cette thèse en informatique se situe dans le domaine des Learning Games (LG), les jeux sérieux destinés à l’apprentissage. Elle s’intéresse à leur conception, aux… (more)

Subjects/Keywords: Learning game; Jeu sérieux; Meta-design; Visualisation de données; EIAH; Méthode THEDRE; Learning game; Serious game; Meta-design; Data visualization; Technology Enhanced Learning; THEDRE method; 006.31; 005.73

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

APA (6th Edition):

Vermeulen, M. (2018). Une approche meta-design des learning games pour développer leur usage : A meta-design approach of learning games to developp their use. (Doctoral Dissertation). Sorbonne université. Retrieved from http://www.theses.fr/2018SORUS093

Chicago Manual of Style (16th Edition):

Vermeulen, Mathieu. “Une approche meta-design des learning games pour développer leur usage : A meta-design approach of learning games to developp their use.” 2018. Doctoral Dissertation, Sorbonne université. Accessed August 14, 2020. http://www.theses.fr/2018SORUS093.

MLA Handbook (7th Edition):

Vermeulen, Mathieu. “Une approche meta-design des learning games pour développer leur usage : A meta-design approach of learning games to developp their use.” 2018. Web. 14 Aug 2020.

Vancouver:

Vermeulen M. Une approche meta-design des learning games pour développer leur usage : A meta-design approach of learning games to developp their use. [Internet] [Doctoral dissertation]. Sorbonne université; 2018. [cited 2020 Aug 14]. Available from: http://www.theses.fr/2018SORUS093.

Council of Science Editors:

Vermeulen M. Une approche meta-design des learning games pour développer leur usage : A meta-design approach of learning games to developp their use. [Doctoral Dissertation]. Sorbonne université; 2018. Available from: http://www.theses.fr/2018SORUS093

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