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You searched for subject:(Structure learning). Showing records 1 – 30 of 256 total matches.

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University of Manchester

1. Abu Alqumboz, Moheeb Abed. Challenges to interorganisational learning in learning networks : implications for practice.

Degree: PhD, 2015, University of Manchester

 Research on organisational learning (OL) was mainly positioned within the psychological and sociological domains. Past and extant research on OL focused on the behavioural, cognitive… (more)

Subjects/Keywords: 658.3; Organisational Learning, Interorganisational learning, Learning Network, Reciprocity, Structure and Agency; Interorganisational Learning; Learning Network; Reciprocity; Structure and Agency

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APA (6th Edition):

Abu Alqumboz, M. A. (2015). Challenges to interorganisational learning in learning networks : implications for practice. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/challenges-to-interorganisational-learning-in-learning-networks-implications-for-practice(a449165f-f826-4f1c-afd6-378c4e0f0afd).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654803

Chicago Manual of Style (16th Edition):

Abu Alqumboz, Moheeb Abed. “Challenges to interorganisational learning in learning networks : implications for practice.” 2015. Doctoral Dissertation, University of Manchester. Accessed April 19, 2019. https://www.research.manchester.ac.uk/portal/en/theses/challenges-to-interorganisational-learning-in-learning-networks-implications-for-practice(a449165f-f826-4f1c-afd6-378c4e0f0afd).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654803.

MLA Handbook (7th Edition):

Abu Alqumboz, Moheeb Abed. “Challenges to interorganisational learning in learning networks : implications for practice.” 2015. Web. 19 Apr 2019.

Vancouver:

Abu Alqumboz MA. Challenges to interorganisational learning in learning networks : implications for practice. [Internet] [Doctoral dissertation]. University of Manchester; 2015. [cited 2019 Apr 19]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/challenges-to-interorganisational-learning-in-learning-networks-implications-for-practice(a449165f-f826-4f1c-afd6-378c4e0f0afd).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654803.

Council of Science Editors:

Abu Alqumboz MA. Challenges to interorganisational learning in learning networks : implications for practice. [Doctoral Dissertation]. University of Manchester; 2015. Available from: https://www.research.manchester.ac.uk/portal/en/theses/challenges-to-interorganisational-learning-in-learning-networks-implications-for-practice(a449165f-f826-4f1c-afd6-378c4e0f0afd).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654803

2. Abu Alqumboz, Moheeb Abed. Challenges to Interorganisational learning in learning networks: implications for practice.

Degree: 2015, University of Manchester

 Research on organisational learning (OL) was mainly positioned within the psychological and sociological domains. Past and extant research on OL focused on the behavioural, cognitive… (more)

Subjects/Keywords: Organisational Learning, Interorganisational learning, Learning Network, Reciprocity, Structure and Agency; Interorganisational Learning; Learning Network; Reciprocity; Structure and Agency

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

APA (6th Edition):

Abu Alqumboz, M. A. (2015). Challenges to Interorganisational learning in learning networks: implications for practice. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:264080

Chicago Manual of Style (16th Edition):

Abu Alqumboz, Moheeb Abed. “Challenges to Interorganisational learning in learning networks: implications for practice.” 2015. Doctoral Dissertation, University of Manchester. Accessed April 19, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:264080.

MLA Handbook (7th Edition):

Abu Alqumboz, Moheeb Abed. “Challenges to Interorganisational learning in learning networks: implications for practice.” 2015. Web. 19 Apr 2019.

Vancouver:

Abu Alqumboz MA. Challenges to Interorganisational learning in learning networks: implications for practice. [Internet] [Doctoral dissertation]. University of Manchester; 2015. [cited 2019 Apr 19]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:264080.

Council of Science Editors:

Abu Alqumboz MA. Challenges to Interorganisational learning in learning networks: implications for practice. [Doctoral Dissertation]. University of Manchester; 2015. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:264080


Cornell University

3. Niculescu-Mizil, Alexandru. Getting the Most Out of Your Data: Multitask Bayesian Network Structure Learning, Predicting Good Probabilities and Ensemble Selection .

Degree: 2008, Cornell University

 First, I consider the problem of simultaneously learning the structures of multiple Bayesian networks from multiple related datasets. I present a multitask Bayes net structure(more)

Subjects/Keywords: transfer learning; Bayesian network structure learning; probability calibration; ensemble learning

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APA (6th Edition):

Niculescu-Mizil, A. (2008). Getting the Most Out of Your Data: Multitask Bayesian Network Structure Learning, Predicting Good Probabilities and Ensemble Selection . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/11171

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):

Niculescu-Mizil, Alexandru. “Getting the Most Out of Your Data: Multitask Bayesian Network Structure Learning, Predicting Good Probabilities and Ensemble Selection .” 2008. Thesis, Cornell University. Accessed April 19, 2019. http://hdl.handle.net/1813/11171.

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

MLA Handbook (7th Edition):

Niculescu-Mizil, Alexandru. “Getting the Most Out of Your Data: Multitask Bayesian Network Structure Learning, Predicting Good Probabilities and Ensemble Selection .” 2008. Web. 19 Apr 2019.

Vancouver:

Niculescu-Mizil A. Getting the Most Out of Your Data: Multitask Bayesian Network Structure Learning, Predicting Good Probabilities and Ensemble Selection . [Internet] [Thesis]. Cornell University; 2008. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1813/11171.

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

Council of Science Editors:

Niculescu-Mizil A. Getting the Most Out of Your Data: Multitask Bayesian Network Structure Learning, Predicting Good Probabilities and Ensemble Selection . [Thesis]. Cornell University; 2008. Available from: http://hdl.handle.net/1813/11171

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


University of Minnesota

4. Tseng, Kuo-Shih. Learning in Human and Robot Search: Subgoal, Submodularity, and Sparsity.

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

 Search is an essential technology for various robotic applications and it is also central to human daily activities. Searching for targets efficiently consists of NP-hard… (more)

Subjects/Keywords: Compressed sensing; Probabilistic search; Q-learning; Sparse learning; Structure learning; Submodularity

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APA (6th Edition):

Tseng, K. (2016). Learning in Human and Robot Search: Subgoal, Submodularity, and Sparsity. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/183325

Chicago Manual of Style (16th Edition):

Tseng, Kuo-Shih. “Learning in Human and Robot Search: Subgoal, Submodularity, and Sparsity.” 2016. Doctoral Dissertation, University of Minnesota. Accessed April 19, 2019. http://hdl.handle.net/11299/183325.

MLA Handbook (7th Edition):

Tseng, Kuo-Shih. “Learning in Human and Robot Search: Subgoal, Submodularity, and Sparsity.” 2016. Web. 19 Apr 2019.

Vancouver:

Tseng K. Learning in Human and Robot Search: Subgoal, Submodularity, and Sparsity. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/11299/183325.

Council of Science Editors:

Tseng K. Learning in Human and Robot Search: Subgoal, Submodularity, and Sparsity. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/183325


University of Edinburgh

5. Doney, Tom. The Proximate-Ultimate Distinction and its Relation to the Emergence of Linguistic Structure.

Degree: 2014, University of Edinburgh

 Ernst Mayr's Proximate-Ultimate distinction has come under scrutiny in recent years for its supposed failure to account for reciprocal evolutionary processes such as niche-construction and… (more)

Subjects/Keywords: Proximate-Ultimate; Iterated Learning; Linguistic Structure; Evolution

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APA (6th Edition):

Doney, T. (2014). The Proximate-Ultimate Distinction and its Relation to the Emergence of Linguistic Structure. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/8601

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):

Doney, Tom. “The Proximate-Ultimate Distinction and its Relation to the Emergence of Linguistic Structure.” 2014. Thesis, University of Edinburgh. Accessed April 19, 2019. http://hdl.handle.net/1842/8601.

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

MLA Handbook (7th Edition):

Doney, Tom. “The Proximate-Ultimate Distinction and its Relation to the Emergence of Linguistic Structure.” 2014. Web. 19 Apr 2019.

Vancouver:

Doney T. The Proximate-Ultimate Distinction and its Relation to the Emergence of Linguistic Structure. [Internet] [Thesis]. University of Edinburgh; 2014. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1842/8601.

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

Council of Science Editors:

Doney T. The Proximate-Ultimate Distinction and its Relation to the Emergence of Linguistic Structure. [Thesis]. University of Edinburgh; 2014. Available from: http://hdl.handle.net/1842/8601

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


University of Edinburgh

6. Nielsen, Alan Kirkland Staun. Systematicity, motivatedness, and the structure of the lexicon.

Degree: PhD, 2016, University of Edinburgh

 For the majority of the 20th century, one of the central dogmas of linguistics was that, at the level of the lexicon, the relationship between… (more)

Subjects/Keywords: 423; language learning; systematicity; structure; sound-symbolism

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APA (6th Edition):

Nielsen, A. K. S. (2016). Systematicity, motivatedness, and the structure of the lexicon. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/20470

Chicago Manual of Style (16th Edition):

Nielsen, Alan Kirkland Staun. “Systematicity, motivatedness, and the structure of the lexicon.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed April 19, 2019. http://hdl.handle.net/1842/20470.

MLA Handbook (7th Edition):

Nielsen, Alan Kirkland Staun. “Systematicity, motivatedness, and the structure of the lexicon.” 2016. Web. 19 Apr 2019.

Vancouver:

Nielsen AKS. Systematicity, motivatedness, and the structure of the lexicon. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1842/20470.

Council of Science Editors:

Nielsen AKS. Systematicity, motivatedness, and the structure of the lexicon. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/20470


Penn State University

7. King, Adam C. Motor Learning and Force Output Dynamics.

Degree: PhD, Kinesiology, 2013, Penn State University

 Motor learning is characterized by the relative persistent change of behavior over time and is a product of the dynamic changes that operate at multiple… (more)

Subjects/Keywords: motor learning; practice structure; retention; generalization

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APA (6th Edition):

King, A. C. (2013). Motor Learning and Force Output Dynamics. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/18915

Chicago Manual of Style (16th Edition):

King, Adam C. “Motor Learning and Force Output Dynamics.” 2013. Doctoral Dissertation, Penn State University. Accessed April 19, 2019. https://etda.libraries.psu.edu/catalog/18915.

MLA Handbook (7th Edition):

King, Adam C. “Motor Learning and Force Output Dynamics.” 2013. Web. 19 Apr 2019.

Vancouver:

King AC. Motor Learning and Force Output Dynamics. [Internet] [Doctoral dissertation]. Penn State University; 2013. [cited 2019 Apr 19]. Available from: https://etda.libraries.psu.edu/catalog/18915.

Council of Science Editors:

King AC. Motor Learning and Force Output Dynamics. [Doctoral Dissertation]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/18915

8. Pierre-Jean, Morgane. Development of statistical methods for DNA copy number analysis in cancerology : Développement de méthodes statistiques pour l'analyse du nombre de copies d'ADN en cancérologie.

Degree: Docteur es, Sciences de la vie et de la santé, 2016, Paris Saclay

Les données génomiques issues d'expériences de puces à ADN ou de séquençage ont deux caractéristiques principales: leur grande dimension (le nombre de marqueurs dépassant de… (more)

Subjects/Keywords: Dictionary learning; Données génomiques à forte structure

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APA (6th Edition):

Pierre-Jean, M. (2016). Development of statistical methods for DNA copy number analysis in cancerology : Développement de méthodes statistiques pour l'analyse du nombre de copies d'ADN en cancérologie. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2016SACLE056

Chicago Manual of Style (16th Edition):

Pierre-Jean, Morgane. “Development of statistical methods for DNA copy number analysis in cancerology : Développement de méthodes statistiques pour l'analyse du nombre de copies d'ADN en cancérologie.” 2016. Doctoral Dissertation, Paris Saclay. Accessed April 19, 2019. http://www.theses.fr/2016SACLE056.

MLA Handbook (7th Edition):

Pierre-Jean, Morgane. “Development of statistical methods for DNA copy number analysis in cancerology : Développement de méthodes statistiques pour l'analyse du nombre de copies d'ADN en cancérologie.” 2016. Web. 19 Apr 2019.

Vancouver:

Pierre-Jean M. Development of statistical methods for DNA copy number analysis in cancerology : Développement de méthodes statistiques pour l'analyse du nombre de copies d'ADN en cancérologie. [Internet] [Doctoral dissertation]. Paris Saclay; 2016. [cited 2019 Apr 19]. Available from: http://www.theses.fr/2016SACLE056.

Council of Science Editors:

Pierre-Jean M. Development of statistical methods for DNA copy number analysis in cancerology : Développement de méthodes statistiques pour l'analyse du nombre de copies d'ADN en cancérologie. [Doctoral Dissertation]. Paris Saclay; 2016. Available from: http://www.theses.fr/2016SACLE056


University of Missouri – Columbia

9. Eickholt, Jesse. Predicting protein residue-residue contacts and disorder.

Degree: 2013, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Predicting a protein's three dimensional structure from its corresponding sequence has long been an extremely… (more)

Subjects/Keywords: protein structure; structure prediction; protein disorder; deep learning

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APA (6th Edition):

Eickholt, J. (2013). Predicting protein residue-residue contacts and disorder. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/37829

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):

Eickholt, Jesse. “Predicting protein residue-residue contacts and disorder.” 2013. Thesis, University of Missouri – Columbia. Accessed April 19, 2019. http://hdl.handle.net/10355/37829.

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

MLA Handbook (7th Edition):

Eickholt, Jesse. “Predicting protein residue-residue contacts and disorder.” 2013. Web. 19 Apr 2019.

Vancouver:

Eickholt J. Predicting protein residue-residue contacts and disorder. [Internet] [Thesis]. University of Missouri – Columbia; 2013. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/10355/37829.

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

Council of Science Editors:

Eickholt J. Predicting protein residue-residue contacts and disorder. [Thesis]. University of Missouri – Columbia; 2013. Available from: http://hdl.handle.net/10355/37829

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


EPFL

10. Karygianni, Sofia. Signal structure: from manifolds to molecules and structured sparsity.

Degree: 2015, EPFL

 Effective representation methods and proper signal priors are crucial in most signal processing applications. In this thesis we focus on different structured models and we… (more)

Subjects/Keywords: manifolds; approximation; flats; low-dimensional; structure; sparsity; linear combinations; molecules; deformations; structure learning

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APA (6th Edition):

Karygianni, S. (2015). Signal structure: from manifolds to molecules and structured sparsity. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/214550

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):

Karygianni, Sofia. “Signal structure: from manifolds to molecules and structured sparsity.” 2015. Thesis, EPFL. Accessed April 19, 2019. http://infoscience.epfl.ch/record/214550.

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

MLA Handbook (7th Edition):

Karygianni, Sofia. “Signal structure: from manifolds to molecules and structured sparsity.” 2015. Web. 19 Apr 2019.

Vancouver:

Karygianni S. Signal structure: from manifolds to molecules and structured sparsity. [Internet] [Thesis]. EPFL; 2015. [cited 2019 Apr 19]. Available from: http://infoscience.epfl.ch/record/214550.

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

Council of Science Editors:

Karygianni S. Signal structure: from manifolds to molecules and structured sparsity. [Thesis]. EPFL; 2015. Available from: http://infoscience.epfl.ch/record/214550

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


Karlstad University

11. Högdahl, Pi. Praktikgemenskaper - professionsutveckling för lärare : Anser lärare att de utvecklat kunskap och kompetens gällande bedömning för lärande genom TLC?.

Degree: Educational Studies, 2015, Karlstad University

  Research shows that schools are largely a professional solo cultures (Blossing 2014), which impede teachers' professional development as learning takes place in social interaction… (more)

Subjects/Keywords: culture; structure; changeagent; communities of practice; peer learning; teacher learning community; design for learning; assessment for learning

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APA (6th Edition):

Högdahl, P. (2015). Praktikgemenskaper - professionsutveckling för lärare : Anser lärare att de utvecklat kunskap och kompetens gällande bedömning för lärande genom TLC?. (Thesis). Karlstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-38935

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):

Högdahl, Pi. “Praktikgemenskaper - professionsutveckling för lärare : Anser lärare att de utvecklat kunskap och kompetens gällande bedömning för lärande genom TLC?.” 2015. Thesis, Karlstad University. Accessed April 19, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-38935.

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

MLA Handbook (7th Edition):

Högdahl, Pi. “Praktikgemenskaper - professionsutveckling för lärare : Anser lärare att de utvecklat kunskap och kompetens gällande bedömning för lärande genom TLC?.” 2015. Web. 19 Apr 2019.

Vancouver:

Högdahl P. Praktikgemenskaper - professionsutveckling för lärare : Anser lärare att de utvecklat kunskap och kompetens gällande bedömning för lärande genom TLC?. [Internet] [Thesis]. Karlstad University; 2015. [cited 2019 Apr 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-38935.

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

Council of Science Editors:

Högdahl P. Praktikgemenskaper - professionsutveckling för lärare : Anser lärare att de utvecklat kunskap och kompetens gällande bedömning för lärande genom TLC?. [Thesis]. Karlstad University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-38935

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


Brigham Young University

12. Dennis, Aaron W. Algorithms for Learning the Structure of Monotone and Nonmonotone Sum-Product Networks.

Degree: PhD, 2016, Brigham Young University

 The sum-product network (SPN) is a recently-proposed generative, probabilistic model that is guaranteed to compute any joint or any marginal probability in time linear in… (more)

Subjects/Keywords: Sum-product networks; structure learning; structure search; online structure search; nonmonotone sum-product networks; Computer Sciences

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APA (6th Edition):

Dennis, A. W. (2016). Algorithms for Learning the Structure of Monotone and Nonmonotone Sum-Product Networks. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7188&context=etd

Chicago Manual of Style (16th Edition):

Dennis, Aaron W. “Algorithms for Learning the Structure of Monotone and Nonmonotone Sum-Product Networks.” 2016. Doctoral Dissertation, Brigham Young University. Accessed April 19, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7188&context=etd.

MLA Handbook (7th Edition):

Dennis, Aaron W. “Algorithms for Learning the Structure of Monotone and Nonmonotone Sum-Product Networks.” 2016. Web. 19 Apr 2019.

Vancouver:

Dennis AW. Algorithms for Learning the Structure of Monotone and Nonmonotone Sum-Product Networks. [Internet] [Doctoral dissertation]. Brigham Young University; 2016. [cited 2019 Apr 19]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7188&context=etd.

Council of Science Editors:

Dennis AW. Algorithms for Learning the Structure of Monotone and Nonmonotone Sum-Product Networks. [Doctoral Dissertation]. Brigham Young University; 2016. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7188&context=etd

13. Dinh, Quang-Thang. Apprentissage statistique relationnel : apprentissage de structures de réseaux de Markov logiques : Statistical relational learning : Structure learning for Markov logic networks.

Degree: Docteur es, Informatique, 2011, Université d'Orléans

Un réseau logique de Markov est formé de clauses en logique du premier ordre auxquelles sont associés des poids. Cette thèse propose plusieurs méthodes pour… (more)

Subjects/Keywords: Réseaux logiques de Markov; Apprentissage de structure; Apprentissage statistique relationnel; Markov logic networks; Structure learning; Statistical relational learning

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APA (6th Edition):

Dinh, Q. (2011). Apprentissage statistique relationnel : apprentissage de structures de réseaux de Markov logiques : Statistical relational learning : Structure learning for Markov logic networks. (Doctoral Dissertation). Université d'Orléans. Retrieved from http://www.theses.fr/2011ORLE2047

Chicago Manual of Style (16th Edition):

Dinh, Quang-Thang. “Apprentissage statistique relationnel : apprentissage de structures de réseaux de Markov logiques : Statistical relational learning : Structure learning for Markov logic networks.” 2011. Doctoral Dissertation, Université d'Orléans. Accessed April 19, 2019. http://www.theses.fr/2011ORLE2047.

MLA Handbook (7th Edition):

Dinh, Quang-Thang. “Apprentissage statistique relationnel : apprentissage de structures de réseaux de Markov logiques : Statistical relational learning : Structure learning for Markov logic networks.” 2011. Web. 19 Apr 2019.

Vancouver:

Dinh Q. Apprentissage statistique relationnel : apprentissage de structures de réseaux de Markov logiques : Statistical relational learning : Structure learning for Markov logic networks. [Internet] [Doctoral dissertation]. Université d'Orléans; 2011. [cited 2019 Apr 19]. Available from: http://www.theses.fr/2011ORLE2047.

Council of Science Editors:

Dinh Q. Apprentissage statistique relationnel : apprentissage de structures de réseaux de Markov logiques : Statistical relational learning : Structure learning for Markov logic networks. [Doctoral Dissertation]. Université d'Orléans; 2011. Available from: http://www.theses.fr/2011ORLE2047


Princeton University

14. Lositsky, Olga. Influence of contextual change on time perception, probability learning, and decision-making dynamics .

Degree: PhD, 2017, Princeton University

 The principles that govern how memories are organized into categories, and how these categories then inform predictions for decision-making, constitute active areas of research. In… (more)

Subjects/Keywords: Cognitive control; Context-dependent decision-making; Long-term memory; Probability learning; Structure learning; Time perception

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

APA (6th Edition):

Lositsky, O. (2017). Influence of contextual change on time perception, probability learning, and decision-making dynamics . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01sn00b141m

Chicago Manual of Style (16th Edition):

Lositsky, Olga. “Influence of contextual change on time perception, probability learning, and decision-making dynamics .” 2017. Doctoral Dissertation, Princeton University. Accessed April 19, 2019. http://arks.princeton.edu/ark:/88435/dsp01sn00b141m.

MLA Handbook (7th Edition):

Lositsky, Olga. “Influence of contextual change on time perception, probability learning, and decision-making dynamics .” 2017. Web. 19 Apr 2019.

Vancouver:

Lositsky O. Influence of contextual change on time perception, probability learning, and decision-making dynamics . [Internet] [Doctoral dissertation]. Princeton University; 2017. [cited 2019 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp01sn00b141m.

Council of Science Editors:

Lositsky O. Influence of contextual change on time perception, probability learning, and decision-making dynamics . [Doctoral Dissertation]. Princeton University; 2017. Available from: http://arks.princeton.edu/ark:/88435/dsp01sn00b141m


Carnegie Mellon University

15. Razavian, Narges Sharif. Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology.

Degree: 2013, Carnegie Mellon University

 Generative models of protein structure enable researchers to predict the behavior of proteins under different conditions. Continuous graphical models are powerful and efficient tools for… (more)

Subjects/Keywords: machine learning; graphical models; kernel belief propagation; structural biology; structure learning; inference

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

APA (6th Edition):

Razavian, N. S. (2013). Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/340

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):

Razavian, Narges Sharif. “Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology.” 2013. Thesis, Carnegie Mellon University. Accessed April 19, 2019. http://repository.cmu.edu/dissertations/340.

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

MLA Handbook (7th Edition):

Razavian, Narges Sharif. “Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology.” 2013. Web. 19 Apr 2019.

Vancouver:

Razavian NS. Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology. [Internet] [Thesis]. Carnegie Mellon University; 2013. [cited 2019 Apr 19]. Available from: http://repository.cmu.edu/dissertations/340.

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

Council of Science Editors:

Razavian NS. Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology. [Thesis]. Carnegie Mellon University; 2013. Available from: http://repository.cmu.edu/dissertations/340

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


University of Illinois – Chicago

16. Contaldi, Carlo. Bayesian Network Hybrid Learning Using a Parent Reducing Site-specific Mutation Rate Genetic Algorithm.

Degree: 2016, University of Illinois – Chicago

 Bayesian networks constitute a powerful framework for probabilistic reasoning and expert elicitation, capable of representing inner relationships underlying any kind of phenomenon in both causal… (more)

Subjects/Keywords: Bayesian network structure learning; hybrid learning; genetic algorithm; mutation rate adaptation; parent reduction

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

APA (6th Edition):

Contaldi, C. (2016). Bayesian Network Hybrid Learning Using a Parent Reducing Site-specific Mutation Rate Genetic Algorithm. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21203

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):

Contaldi, Carlo. “Bayesian Network Hybrid Learning Using a Parent Reducing Site-specific Mutation Rate Genetic Algorithm.” 2016. Thesis, University of Illinois – Chicago. Accessed April 19, 2019. http://hdl.handle.net/10027/21203.

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

MLA Handbook (7th Edition):

Contaldi, Carlo. “Bayesian Network Hybrid Learning Using a Parent Reducing Site-specific Mutation Rate Genetic Algorithm.” 2016. Web. 19 Apr 2019.

Vancouver:

Contaldi C. Bayesian Network Hybrid Learning Using a Parent Reducing Site-specific Mutation Rate Genetic Algorithm. [Internet] [Thesis]. University of Illinois – Chicago; 2016. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/10027/21203.

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

Council of Science Editors:

Contaldi C. Bayesian Network Hybrid Learning Using a Parent Reducing Site-specific Mutation Rate Genetic Algorithm. [Thesis]. University of Illinois – Chicago; 2016. Available from: http://hdl.handle.net/10027/21203

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


KTH

17. Renhuldt, Nikos Tsardakas. Protein contact prediction based on the Tiramisu deep learning architecture.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

Experimentally determining protein structure is a hard problem, with applications in both medicine and industry. Predicting protein structure is also difficult. Predicted contacts between… (more)

Subjects/Keywords: protein contact prediction; contact prediction; protein structure; deep learning; machine learning; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Renhuldt, N. T. (2018). Protein contact prediction based on the Tiramisu deep learning architecture. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231494

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):

Renhuldt, Nikos Tsardakas. “Protein contact prediction based on the Tiramisu deep learning architecture.” 2018. Thesis, KTH. Accessed April 19, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231494.

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

MLA Handbook (7th Edition):

Renhuldt, Nikos Tsardakas. “Protein contact prediction based on the Tiramisu deep learning architecture.” 2018. Web. 19 Apr 2019.

Vancouver:

Renhuldt NT. Protein contact prediction based on the Tiramisu deep learning architecture. [Internet] [Thesis]. KTH; 2018. [cited 2019 Apr 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231494.

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

Council of Science Editors:

Renhuldt NT. Protein contact prediction based on the Tiramisu deep learning architecture. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231494

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


University of Texas – Austin

18. Johnson, Christopher Carroll. Greedy structure learning of Markov Random Fields.

Degree: Computer Sciences, 2011, University of Texas – Austin

 Probabilistic graphical models are used in a variety of domains to capture and represent general dependencies in joint probability distributions. In this document we examine… (more)

Subjects/Keywords: Machine learning; Graphical models; Markov Random Fields; Structure learning; Probability; Uncertainty; Greedy algorithms

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

APA (6th Edition):

Johnson, C. C. (2011). Greedy structure learning of Markov Random Fields. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-08-4331

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):

Johnson, Christopher Carroll. “Greedy structure learning of Markov Random Fields.” 2011. Thesis, University of Texas – Austin. Accessed April 19, 2019. http://hdl.handle.net/2152/ETD-UT-2011-08-4331.

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

MLA Handbook (7th Edition):

Johnson, Christopher Carroll. “Greedy structure learning of Markov Random Fields.” 2011. Web. 19 Apr 2019.

Vancouver:

Johnson CC. Greedy structure learning of Markov Random Fields. [Internet] [Thesis]. University of Texas – Austin; 2011. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-4331.

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

Council of Science Editors:

Johnson CC. Greedy structure learning of Markov Random Fields. [Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-4331

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


University of Southern California

19. Hidaka, Yukikazu. Computational model of stroke therapy and long term recovery.

Degree: PhD, Computer Science, 2013, University of Southern California

 Understanding the effects of task practice on the long term recovery of arm function post-stroke could allow effective motor training at a reduced cost. There… (more)

Subjects/Keywords: Bayesian regression; computational model; graph structure learning; machine learning; stroke rehabilitation; task specific training

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

APA (6th Edition):

Hidaka, Y. (2013). Computational model of stroke therapy and long term recovery. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/322852/rec/1546

Chicago Manual of Style (16th Edition):

Hidaka, Yukikazu. “Computational model of stroke therapy and long term recovery.” 2013. Doctoral Dissertation, University of Southern California. Accessed April 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/322852/rec/1546.

MLA Handbook (7th Edition):

Hidaka, Yukikazu. “Computational model of stroke therapy and long term recovery.” 2013. Web. 19 Apr 2019.

Vancouver:

Hidaka Y. Computational model of stroke therapy and long term recovery. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Apr 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/322852/rec/1546.

Council of Science Editors:

Hidaka Y. Computational model of stroke therapy and long term recovery. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/322852/rec/1546

20. [No author]. Story decorated context-awareness role playing learning activity generation.

Degree: 2012, Athabasca University

In this research, a context-aware mobile role playing game is developed to provide users with a series of story decorated quests and allows them to… (more)

Subjects/Keywords: Mobile learning; Game-based learning; Context-awareness; Knowledge structure; Narrative; Multi-agent systems; Technology acceptance

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

APA (6th Edition):

author], [. (2012). Story decorated context-awareness role playing learning activity generation. (Thesis). Athabasca University. Retrieved from http://hdl.handle.net/10791/13

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):

author], [No. “Story decorated context-awareness role playing learning activity generation.” 2012. Thesis, Athabasca University. Accessed April 19, 2019. http://hdl.handle.net/10791/13.

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

MLA Handbook (7th Edition):

author], [No. “Story decorated context-awareness role playing learning activity generation.” 2012. Web. 19 Apr 2019.

Vancouver:

author] [. Story decorated context-awareness role playing learning activity generation. [Internet] [Thesis]. Athabasca University; 2012. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/10791/13.

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

Council of Science Editors:

author] [. Story decorated context-awareness role playing learning activity generation. [Thesis]. Athabasca University; 2012. Available from: http://hdl.handle.net/10791/13

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


Linköping University

21. Petersson, Mikael. The Maximum Minimum Parents and Children Algorithm.

Degree: Mathematical Statistics, 2010, Linköping University

  Given a random sample from a multivariate probability distribution p, the maximum minimum parents and children algorithm locates the skeleton of the directed acyclic… (more)

Subjects/Keywords: Bayesian networks; Structure learning; Faithfulness; Mathematical statistics; Matematisk statistik

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

APA (6th Edition):

Petersson, M. (2010). The Maximum Minimum Parents and Children Algorithm. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56767

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):

Petersson, Mikael. “The Maximum Minimum Parents and Children Algorithm.” 2010. Thesis, Linköping University. Accessed April 19, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56767.

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

MLA Handbook (7th Edition):

Petersson, Mikael. “The Maximum Minimum Parents and Children Algorithm.” 2010. Web. 19 Apr 2019.

Vancouver:

Petersson M. The Maximum Minimum Parents and Children Algorithm. [Internet] [Thesis]. Linköping University; 2010. [cited 2019 Apr 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56767.

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

Council of Science Editors:

Petersson M. The Maximum Minimum Parents and Children Algorithm. [Thesis]. Linköping University; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56767

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


University of Edinburgh

22. Saldana, Carmen. The Evolution Of Phrase Structure In Bayesian Iterated Artificial Language Learning: A Linguistic System’s Evolution After The Emergence Of An Unbounded Combinatorial Capacity.

Degree: 2013, University of Edinburgh

 An elementary fact about language is that it is a system of discrete infinity whose source is recursion and reveals itself as Phrase Structure Grammar.… (more)

Subjects/Keywords: Bayesian Iterated Learning; Phrase Structure; domain-general; recursion

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APA (6th Edition):

Saldana, C. (2013). The Evolution Of Phrase Structure In Bayesian Iterated Artificial Language Learning: A Linguistic System’s Evolution After The Emergence Of An Unbounded Combinatorial Capacity. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/8662

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):

Saldana, Carmen. “The Evolution Of Phrase Structure In Bayesian Iterated Artificial Language Learning: A Linguistic System’s Evolution After The Emergence Of An Unbounded Combinatorial Capacity.” 2013. Thesis, University of Edinburgh. Accessed April 19, 2019. http://hdl.handle.net/1842/8662.

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

MLA Handbook (7th Edition):

Saldana, Carmen. “The Evolution Of Phrase Structure In Bayesian Iterated Artificial Language Learning: A Linguistic System’s Evolution After The Emergence Of An Unbounded Combinatorial Capacity.” 2013. Web. 19 Apr 2019.

Vancouver:

Saldana C. The Evolution Of Phrase Structure In Bayesian Iterated Artificial Language Learning: A Linguistic System’s Evolution After The Emergence Of An Unbounded Combinatorial Capacity. [Internet] [Thesis]. University of Edinburgh; 2013. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1842/8662.

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

Council of Science Editors:

Saldana C. The Evolution Of Phrase Structure In Bayesian Iterated Artificial Language Learning: A Linguistic System’s Evolution After The Emergence Of An Unbounded Combinatorial Capacity. [Thesis]. University of Edinburgh; 2013. Available from: http://hdl.handle.net/1842/8662

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


NSYSU

23. Chang, Chia-Hung. Accuracy Improvement for RNA Secondary Structure Prediction with SVM.

Degree: Master, Computer Science and Engineering, 2008, NSYSU

 Ribonucleic acid (RNA) sometimes occurs in a complex structure called pseudoknots. Prediction of RNA secondary structures has drawn much attention from both biologists and computer… (more)

Subjects/Keywords: RNA; secondary structure; support vector machine; machine learning; classification

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APA (6th Edition):

Chang, C. (2008). Accuracy Improvement for RNA Secondary Structure Prediction with SVM. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730108-234319

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):

Chang, Chia-Hung. “Accuracy Improvement for RNA Secondary Structure Prediction with SVM.” 2008. Thesis, NSYSU. Accessed April 19, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730108-234319.

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

MLA Handbook (7th Edition):

Chang, Chia-Hung. “Accuracy Improvement for RNA Secondary Structure Prediction with SVM.” 2008. Web. 19 Apr 2019.

Vancouver:

Chang C. Accuracy Improvement for RNA Secondary Structure Prediction with SVM. [Internet] [Thesis]. NSYSU; 2008. [cited 2019 Apr 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730108-234319.

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

Council of Science Editors:

Chang C. Accuracy Improvement for RNA Secondary Structure Prediction with SVM. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730108-234319

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


NSYSU

24. Feng Shih, Ching. The study of traineeâs learning motivation in public vocational school & the relationship of career development by the governmental institution commissioned.

Degree: Master, Public Affairs Management, 2011, NSYSU

 Abstract As we know that the social and economic environment has been changed rapidly and the types of employment have also been diversified in the… (more)

Subjects/Keywords: career develop; learning motive; vocational training; business structure; employment safety

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APA (6th Edition):

Feng Shih, C. (2011). The study of traineeâs learning motivation in public vocational school & the relationship of career development by the governmental institution commissioned. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619111-195057

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):

Feng Shih, Ching. “The study of traineeâs learning motivation in public vocational school & the relationship of career development by the governmental institution commissioned.” 2011. Thesis, NSYSU. Accessed April 19, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619111-195057.

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

MLA Handbook (7th Edition):

Feng Shih, Ching. “The study of traineeâs learning motivation in public vocational school & the relationship of career development by the governmental institution commissioned.” 2011. Web. 19 Apr 2019.

Vancouver:

Feng Shih C. The study of traineeâs learning motivation in public vocational school & the relationship of career development by the governmental institution commissioned. [Internet] [Thesis]. NSYSU; 2011. [cited 2019 Apr 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619111-195057.

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

Council of Science Editors:

Feng Shih C. The study of traineeâs learning motivation in public vocational school & the relationship of career development by the governmental institution commissioned. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619111-195057

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


University of Edinburgh

25. Trejo Baños, Daniel. Statistical modeling of oscillating biological networks for structure inference and experimental design.

Degree: PhD, 2016, University of Edinburgh

 Oscillations lie at the core of many biological processes, from the cell cycle, to circadian oscillations and developmental processes. They are essential to enable organisms… (more)

Subjects/Keywords: 572.8; structure learning; gene regulatory networks; experimental design

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APA (6th Edition):

Trejo Baños, D. (2016). Statistical modeling of oscillating biological networks for structure inference and experimental design. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/20401

Chicago Manual of Style (16th Edition):

Trejo Baños, Daniel. “Statistical modeling of oscillating biological networks for structure inference and experimental design.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed April 19, 2019. http://hdl.handle.net/1842/20401.

MLA Handbook (7th Edition):

Trejo Baños, Daniel. “Statistical modeling of oscillating biological networks for structure inference and experimental design.” 2016. Web. 19 Apr 2019.

Vancouver:

Trejo Baños D. Statistical modeling of oscillating biological networks for structure inference and experimental design. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1842/20401.

Council of Science Editors:

Trejo Baños D. Statistical modeling of oscillating biological networks for structure inference and experimental design. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/20401


UCLA

26. Chen, Yuh-Jie. Learning Bayesian Network Structures with Non-Decomposable Scores.

Degree: Computer Science, 2016, UCLA

 Bayesian networks learned from data and background knowledge have been broadly used to reason under uncertainty, and to determine associations and dependencies between random variables… (more)

Subjects/Keywords: Artificial intelligence; Computer science; Bayesian networks; heuristic search; structure learning

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APA (6th Edition):

Chen, Y. (2016). Learning Bayesian Network Structures with Non-Decomposable Scores. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/7r51b4hv

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):

Chen, Yuh-Jie. “Learning Bayesian Network Structures with Non-Decomposable Scores.” 2016. Thesis, UCLA. Accessed April 19, 2019. http://www.escholarship.org/uc/item/7r51b4hv.

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

MLA Handbook (7th Edition):

Chen, Yuh-Jie. “Learning Bayesian Network Structures with Non-Decomposable Scores.” 2016. Web. 19 Apr 2019.

Vancouver:

Chen Y. Learning Bayesian Network Structures with Non-Decomposable Scores. [Internet] [Thesis]. UCLA; 2016. [cited 2019 Apr 19]. Available from: http://www.escholarship.org/uc/item/7r51b4hv.

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

Council of Science Editors:

Chen Y. Learning Bayesian Network Structures with Non-Decomposable Scores. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/7r51b4hv

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


University of Kansas

27. Liu, Yi Syuan. THE USE OF SENTENCE STRUCTURE AND PRAGMATIC CUES IN NOVEL VERB LEARNING: A CROSS-LINGUISTIC STUDY OF MANDARIN CHINESE AND ENGLISH.

Degree: PhD, Hearing and Speech, 2016, University of Kansas

 As children hear a novel verb in a NOUN-VERB-NOUN (i.e., NVN) structure, they generally infer that the verb is transitive, like the verb “hit” (Naigles,… (more)

Subjects/Keywords: Linguistics; Argument omission; Argument structure; Pragmatics; Syntax; Verb learning

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APA (6th Edition):

Liu, Y. S. (2016). THE USE OF SENTENCE STRUCTURE AND PRAGMATIC CUES IN NOVEL VERB LEARNING: A CROSS-LINGUISTIC STUDY OF MANDARIN CHINESE AND ENGLISH. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/22471

Chicago Manual of Style (16th Edition):

Liu, Yi Syuan. “THE USE OF SENTENCE STRUCTURE AND PRAGMATIC CUES IN NOVEL VERB LEARNING: A CROSS-LINGUISTIC STUDY OF MANDARIN CHINESE AND ENGLISH.” 2016. Doctoral Dissertation, University of Kansas. Accessed April 19, 2019. http://hdl.handle.net/1808/22471.

MLA Handbook (7th Edition):

Liu, Yi Syuan. “THE USE OF SENTENCE STRUCTURE AND PRAGMATIC CUES IN NOVEL VERB LEARNING: A CROSS-LINGUISTIC STUDY OF MANDARIN CHINESE AND ENGLISH.” 2016. Web. 19 Apr 2019.

Vancouver:

Liu YS. THE USE OF SENTENCE STRUCTURE AND PRAGMATIC CUES IN NOVEL VERB LEARNING: A CROSS-LINGUISTIC STUDY OF MANDARIN CHINESE AND ENGLISH. [Internet] [Doctoral dissertation]. University of Kansas; 2016. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/1808/22471.

Council of Science Editors:

Liu YS. THE USE OF SENTENCE STRUCTURE AND PRAGMATIC CUES IN NOVEL VERB LEARNING: A CROSS-LINGUISTIC STUDY OF MANDARIN CHINESE AND ENGLISH. [Doctoral Dissertation]. University of Kansas; 2016. Available from: http://hdl.handle.net/1808/22471

28. Fast, Andrew Scott. Learning the Structure of Bayesian Networks with Constraint Satisfaction.

Degree: PhD, Computer Science, 2010, U of Massachusetts : PhD

 A Bayesian network is graphical representation of the probabilistic relationships among set of variables and can be used to encode expert knowledge about uncertain domains.… (more)

Subjects/Keywords: Bayesian networks; Constraint satisfaction; Constraint-based; Structure learning; Computer Sciences

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

APA (6th Edition):

Fast, A. S. (2010). Learning the Structure of Bayesian Networks with Constraint Satisfaction. (Doctoral Dissertation). U of Massachusetts : PhD. Retrieved from https://scholarworks.umass.edu/open_access_dissertations/182

Chicago Manual of Style (16th Edition):

Fast, Andrew Scott. “Learning the Structure of Bayesian Networks with Constraint Satisfaction.” 2010. Doctoral Dissertation, U of Massachusetts : PhD. Accessed April 19, 2019. https://scholarworks.umass.edu/open_access_dissertations/182.

MLA Handbook (7th Edition):

Fast, Andrew Scott. “Learning the Structure of Bayesian Networks with Constraint Satisfaction.” 2010. Web. 19 Apr 2019.

Vancouver:

Fast AS. Learning the Structure of Bayesian Networks with Constraint Satisfaction. [Internet] [Doctoral dissertation]. U of Massachusetts : PhD; 2010. [cited 2019 Apr 19]. Available from: https://scholarworks.umass.edu/open_access_dissertations/182.

Council of Science Editors:

Fast AS. Learning the Structure of Bayesian Networks with Constraint Satisfaction. [Doctoral Dissertation]. U of Massachusetts : PhD; 2010. Available from: https://scholarworks.umass.edu/open_access_dissertations/182


University of the Western Cape

29. Herbert, Carmen. The relationship between childhood exposure to substance use and substance use as an adult .

Degree: 2016, University of the Western Cape

 It is a common fact that drug and alcohol abuse has become a complex problem with children in South Africa. There is also a risk… (more)

Subjects/Keywords: Substance abuse; Social cognitive learning theory; Family structure; Adult; Child

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

APA (6th Edition):

Herbert, C. (2016). The relationship between childhood exposure to substance use and substance use as an adult . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/4897

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):

Herbert, Carmen. “The relationship between childhood exposure to substance use and substance use as an adult .” 2016. Thesis, University of the Western Cape. Accessed April 19, 2019. http://hdl.handle.net/11394/4897.

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

MLA Handbook (7th Edition):

Herbert, Carmen. “The relationship between childhood exposure to substance use and substance use as an adult .” 2016. Web. 19 Apr 2019.

Vancouver:

Herbert C. The relationship between childhood exposure to substance use and substance use as an adult . [Internet] [Thesis]. University of the Western Cape; 2016. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/11394/4897.

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

Council of Science Editors:

Herbert C. The relationship between childhood exposure to substance use and substance use as an adult . [Thesis]. University of the Western Cape; 2016. Available from: http://hdl.handle.net/11394/4897

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


Lehigh University

30. Guo, Ziyi. Leveraging Structural Flexibility to Predict Protein Function.

Degree: PhD, Computer Science, 2017, Lehigh University

 Proteins are essentially versatile and flexible molecules and understanding protein function plays a fundamental role in understanding biological systems. Protein structure comparisons are widely used… (more)

Subjects/Keywords: machine learning; molecular dynamics; protein flexibility; protein structure comparison; Computer Sciences

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

APA (6th Edition):

Guo, Z. (2017). Leveraging Structural Flexibility to Predict Protein Function. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2945

Chicago Manual of Style (16th Edition):

Guo, Ziyi. “Leveraging Structural Flexibility to Predict Protein Function.” 2017. Doctoral Dissertation, Lehigh University. Accessed April 19, 2019. https://preserve.lehigh.edu/etd/2945.

MLA Handbook (7th Edition):

Guo, Ziyi. “Leveraging Structural Flexibility to Predict Protein Function.” 2017. Web. 19 Apr 2019.

Vancouver:

Guo Z. Leveraging Structural Flexibility to Predict Protein Function. [Internet] [Doctoral dissertation]. Lehigh University; 2017. [cited 2019 Apr 19]. Available from: https://preserve.lehigh.edu/etd/2945.

Council of Science Editors:

Guo Z. Leveraging Structural Flexibility to Predict Protein Function. [Doctoral Dissertation]. Lehigh University; 2017. Available from: https://preserve.lehigh.edu/etd/2945

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