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You searched for subject:(Markov logic networks). Showing records 1 – 13 of 13 total matches.

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University of Texas – Austin

1. Huynh, Tuyen Ngoc. Improving the accuracy and scalability of discriminative learning methods for Markov logic networks.

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

 Many real-world problems involve data that both have complex structures and uncertainty. Statistical relational learning (SRL) is an emerging area of research that addresses the… (more)

Subjects/Keywords: Markov logic networks; Statistical relational learning; Structured prediction; Logic networks; Artificial intelligence; Machine learning

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

APA (6th Edition):

Huynh, T. N. (2011). Improving the accuracy and scalability of discriminative learning methods for Markov logic networks. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-05-3436

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):

Huynh, Tuyen Ngoc. “Improving the accuracy and scalability of discriminative learning methods for Markov logic networks.” 2011. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/ETD-UT-2011-05-3436.

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

MLA Handbook (7th Edition):

Huynh, Tuyen Ngoc. “Improving the accuracy and scalability of discriminative learning methods for Markov logic networks.” 2011. Web. 16 Jun 2019.

Vancouver:

Huynh TN. Improving the accuracy and scalability of discriminative learning methods for Markov logic networks. [Internet] [Thesis]. University of Texas – Austin; 2011. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3436.

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

Council of Science Editors:

Huynh TN. Improving the accuracy and scalability of discriminative learning methods for Markov logic networks. [Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3436

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


University of Manchester

2. Al Shekaili, Dhahi Khalifa Dhahi. Integrating Linked Data Search Results Using Statistical Relational Learning Approaches.

Degree: 2017, University of Manchester

 Linked Data (LD) follows the web in providing low barriers to publication, and in deploying web-scale keyword search as a central way of identifying relevant… (more)

Subjects/Keywords: Linked Data Search; Markov Logic Networks; Probabilistic Soft Logic; Statistical Relational Learning

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APA (6th Edition):

Al Shekaili, D. K. D. (2017). Integrating Linked Data Search Results Using Statistical Relational Learning Approaches. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:307430

Chicago Manual of Style (16th Edition):

Al Shekaili, Dhahi Khalifa Dhahi. “Integrating Linked Data Search Results Using Statistical Relational Learning Approaches.” 2017. Doctoral Dissertation, University of Manchester. Accessed June 16, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:307430.

MLA Handbook (7th Edition):

Al Shekaili, Dhahi Khalifa Dhahi. “Integrating Linked Data Search Results Using Statistical Relational Learning Approaches.” 2017. Web. 16 Jun 2019.

Vancouver:

Al Shekaili DKD. Integrating Linked Data Search Results Using Statistical Relational Learning Approaches. [Internet] [Doctoral dissertation]. University of Manchester; 2017. [cited 2019 Jun 16]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:307430.

Council of Science Editors:

Al Shekaili DKD. Integrating Linked Data Search Results Using Statistical Relational Learning Approaches. [Doctoral Dissertation]. University of Manchester; 2017. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:307430


University of Manchester

3. Al Shekaili, Dhahi. Integrating Linked Data search results using statistical relational learning approaches.

Degree: PhD, 2017, University of Manchester

 Linked Data (LD) follows the web in providing low barriers to publication, and in deploying web-scale keyword search as a central way of identifying relevant… (more)

Subjects/Keywords: 005.7; Statistical Relational Learning; Probabilistic Soft Logic; Linked Data Search; Markov Logic Networks

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

APA (6th Edition):

Al Shekaili, D. (2017). Integrating Linked Data search results using statistical relational learning approaches. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/integrating-linked-data-search-results-using-statistical-relational-learning-approaches(3f77386b-a38a-4110-8ce1-bda6340e6f0b).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728176

Chicago Manual of Style (16th Edition):

Al Shekaili, Dhahi. “Integrating Linked Data search results using statistical relational learning approaches.” 2017. Doctoral Dissertation, University of Manchester. Accessed June 16, 2019. https://www.research.manchester.ac.uk/portal/en/theses/integrating-linked-data-search-results-using-statistical-relational-learning-approaches(3f77386b-a38a-4110-8ce1-bda6340e6f0b).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728176.

MLA Handbook (7th Edition):

Al Shekaili, Dhahi. “Integrating Linked Data search results using statistical relational learning approaches.” 2017. Web. 16 Jun 2019.

Vancouver:

Al Shekaili D. Integrating Linked Data search results using statistical relational learning approaches. [Internet] [Doctoral dissertation]. University of Manchester; 2017. [cited 2019 Jun 16]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/integrating-linked-data-search-results-using-statistical-relational-learning-approaches(3f77386b-a38a-4110-8ce1-bda6340e6f0b).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728176.

Council of Science Editors:

Al Shekaili D. Integrating Linked Data search results using statistical relational learning approaches. [Doctoral Dissertation]. University of Manchester; 2017. Available from: https://www.research.manchester.ac.uk/portal/en/theses/integrating-linked-data-search-results-using-statistical-relational-learning-approaches(3f77386b-a38a-4110-8ce1-bda6340e6f0b).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728176

4. Silva, Victor Anselmo. Redes lógicas de Markov aplicadas ao aprendizado de classificadores automáticos de dados.

Degree: Mestrado, Engenharia de Controle e Automação Mecânica, 2010, University of São Paulo

Sistemas de computação têm se tornado maiores e mais complexos com o objetivo de lidar com a vasta quantidade de dados disponíveis. Uma tarefa decisiva… (more)

Subjects/Keywords: Aprendizado supervisionado; Classificadores; Classifiers; Learning; Markov logic networks; Redes lógicas de Markov; Semi-supervisionado com restrições; Semisupervised under constraints; Supervised

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

APA (6th Edition):

Silva, V. A. (2010). Redes lógicas de Markov aplicadas ao aprendizado de classificadores automáticos de dados. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3152/tde-18052011-151242/ ;

Chicago Manual of Style (16th Edition):

Silva, Victor Anselmo. “Redes lógicas de Markov aplicadas ao aprendizado de classificadores automáticos de dados.” 2010. Masters Thesis, University of São Paulo. Accessed June 16, 2019. http://www.teses.usp.br/teses/disponiveis/3/3152/tde-18052011-151242/ ;.

MLA Handbook (7th Edition):

Silva, Victor Anselmo. “Redes lógicas de Markov aplicadas ao aprendizado de classificadores automáticos de dados.” 2010. Web. 16 Jun 2019.

Vancouver:

Silva VA. Redes lógicas de Markov aplicadas ao aprendizado de classificadores automáticos de dados. [Internet] [Masters thesis]. University of São Paulo; 2010. [cited 2019 Jun 16]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3152/tde-18052011-151242/ ;.

Council of Science Editors:

Silva VA. Redes lógicas de Markov aplicadas ao aprendizado de classificadores automáticos de dados. [Masters Thesis]. University of São Paulo; 2010. Available from: http://www.teses.usp.br/teses/disponiveis/3/3152/tde-18052011-151242/ ;

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

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 June 16, 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. 16 Jun 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 Jun 16]. 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


Georgia Tech

6. Zhang, Xin. Combining logical and probabilistic reasoning in program analysis.

Degree: PhD, Computer Science, 2017, Georgia Tech

 Software is becoming increasingly pervasive and complex. These trends expose masses of users to unintended software failures and deliberate cyber-attacks. A widely adopted solution to… (more)

Subjects/Keywords: Program analysis; Logic; Probability; Combined logical and probabilistic reasoning; Markov logic networks; Datalog; MaxSAT; Verification; Bug finding; Programming languages; Software engineering

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APA (6th Edition):

Zhang, X. (2017). Combining logical and probabilistic reasoning in program analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59200

Chicago Manual of Style (16th Edition):

Zhang, Xin. “Combining logical and probabilistic reasoning in program analysis.” 2017. Doctoral Dissertation, Georgia Tech. Accessed June 16, 2019. http://hdl.handle.net/1853/59200.

MLA Handbook (7th Edition):

Zhang, Xin. “Combining logical and probabilistic reasoning in program analysis.” 2017. Web. 16 Jun 2019.

Vancouver:

Zhang X. Combining logical and probabilistic reasoning in program analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/1853/59200.

Council of Science Editors:

Zhang X. Combining logical and probabilistic reasoning in program analysis. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59200

7. Skarlatidis, Anastasios. Event recognition under uncertainty and incomplete data.

Degree: 2014, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς

Symbolic event recognition systems have been successfully applied to a variety of application domains, extracting useful information in the form of events, allowing experts or… (more)

Subjects/Keywords: Αναγνώριση συμβάντων; Επεξεργασία πολύπλοκων συμβάντων; Λογικά Δύκτια Μάρκοβ; Πιθανοτικός λογικός προγραμματισμός; Λογισμός συμβάντων; Χρονική λογική; Event recognition; Complex event processing; Markov logic networks; Probabilistic logic programming; Event calculus; Temporal logic

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

APA (6th Edition):

Skarlatidis, A. (2014). Event recognition under uncertainty and incomplete data. (Thesis). University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Retrieved from http://hdl.handle.net/10442/hedi/35692

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):

Skarlatidis, Anastasios. “Event recognition under uncertainty and incomplete data.” 2014. Thesis, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Accessed June 16, 2019. http://hdl.handle.net/10442/hedi/35692.

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

MLA Handbook (7th Edition):

Skarlatidis, Anastasios. “Event recognition under uncertainty and incomplete data.” 2014. Web. 16 Jun 2019.

Vancouver:

Skarlatidis A. Event recognition under uncertainty and incomplete data. [Internet] [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2014. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/10442/hedi/35692.

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

Council of Science Editors:

Skarlatidis A. Event recognition under uncertainty and incomplete data. [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2014. Available from: http://hdl.handle.net/10442/hedi/35692

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


Universidade Federal do Maranhão

8. LUCAS RÊGO DRUMOND. AUTOMATED ACQUISITION OF CONCEPTS OF HIERARCHIES ONTOLOGY USING STATISTICAL RELATIONAL LEARNING.

Degree: 2009, Universidade Federal do Maranhão

Os formalismos de representação do conhecimento como as ontologias têm se mostrado uma poderosa ferramenta para melhorar a efetividade de sistemas de processamento da linguagem… (more)

Subjects/Keywords: Aprendizagem de ontologias; Aprendizagem estatística relacional; Ontology learning; Markov logic networks; LOGICAS E SEMANTICA DE PROGRAMAS; Aquisição de conhecimento; Redes lógicas de Markov; Knowledge acquisition; Statistical relational learning

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

APA (6th Edition):

DRUMOND, L. R. (2009). AUTOMATED ACQUISITION OF CONCEPTS OF HIERARCHIES ONTOLOGY USING STATISTICAL RELATIONAL LEARNING. (Thesis). Universidade Federal do Maranhão. Retrieved from http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=380

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):

DRUMOND, LUCAS RÊGO. “AUTOMATED ACQUISITION OF CONCEPTS OF HIERARCHIES ONTOLOGY USING STATISTICAL RELATIONAL LEARNING.” 2009. Thesis, Universidade Federal do Maranhão. Accessed June 16, 2019. http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=380.

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

MLA Handbook (7th Edition):

DRUMOND, LUCAS RÊGO. “AUTOMATED ACQUISITION OF CONCEPTS OF HIERARCHIES ONTOLOGY USING STATISTICAL RELATIONAL LEARNING.” 2009. Web. 16 Jun 2019.

Vancouver:

DRUMOND LR. AUTOMATED ACQUISITION OF CONCEPTS OF HIERARCHIES ONTOLOGY USING STATISTICAL RELATIONAL LEARNING. [Internet] [Thesis]. Universidade Federal do Maranhão; 2009. [cited 2019 Jun 16]. Available from: http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=380.

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

Council of Science Editors:

DRUMOND LR. AUTOMATED ACQUISITION OF CONCEPTS OF HIERARCHIES ONTOLOGY USING STATISTICAL RELATIONAL LEARNING. [Thesis]. Universidade Federal do Maranhão; 2009. Available from: http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=380

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


University of Texas – Austin

9. Mihalkova, Lilyana Simeonova. Learning with Markov logic networks : transfer learning, structure learning, and an application to Web query disambiguation.

Degree: Computer Sciences, 2009, University of Texas – Austin

 Traditionally, machine learning algorithms assume that training data is provided as a set of independent instances, each of which can be described as a feature… (more)

Subjects/Keywords: Markov logic networks; Web query disambiguation; Statistical Relational Learning; Artificial intelligence; Machine learning; Multi-relational data; First-order logic; Probability distribution; Structure learning; Transfer learning; Algorithms

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

APA (6th Edition):

Mihalkova, L. S. (2009). Learning with Markov logic networks : transfer learning, structure learning, and an application to Web query disambiguation. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/10574

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):

Mihalkova, Lilyana Simeonova. “Learning with Markov logic networks : transfer learning, structure learning, and an application to Web query disambiguation.” 2009. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/10574.

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

MLA Handbook (7th Edition):

Mihalkova, Lilyana Simeonova. “Learning with Markov logic networks : transfer learning, structure learning, and an application to Web query disambiguation.” 2009. Web. 16 Jun 2019.

Vancouver:

Mihalkova LS. Learning with Markov logic networks : transfer learning, structure learning, and an application to Web query disambiguation. [Internet] [Thesis]. University of Texas – Austin; 2009. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/10574.

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

Council of Science Editors:

Mihalkova LS. Learning with Markov logic networks : transfer learning, structure learning, and an application to Web query disambiguation. [Thesis]. University of Texas – Austin; 2009. Available from: http://hdl.handle.net/2152/10574

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


University of Illinois – Urbana-Champaign

10. Choi, Jaesik. Lifted Inference for Relational Hybrid Models.

Degree: PhD, 0112, 2012, University of Illinois – Urbana-Champaign

 Probabilistic Graphical Models (PGMs) promise to play a prominent role in many complex real-world systems. Probabilistic Relational Graphical Models (PRGMs) scale the representation and learning… (more)

Subjects/Keywords: Probabilistic Graphical Models; Relational Hybrid Models; Lifted Inference; First-Order Probabilistic Models; Probabilistic Logic; Kalman filter; Relational Kalman filter; Variational Learning, Markov Logic Networks

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

APA (6th Edition):

Choi, J. (2012). Lifted Inference for Relational Hybrid Models. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/32004

Chicago Manual of Style (16th Edition):

Choi, Jaesik. “Lifted Inference for Relational Hybrid Models.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed June 16, 2019. http://hdl.handle.net/2142/32004.

MLA Handbook (7th Edition):

Choi, Jaesik. “Lifted Inference for Relational Hybrid Models.” 2012. Web. 16 Jun 2019.

Vancouver:

Choi J. Lifted Inference for Relational Hybrid Models. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2142/32004.

Council of Science Editors:

Choi J. Lifted Inference for Relational Hybrid Models. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/32004

11. Mendes, Pedro Rosário. Building a person home behavior model based on data from smart house sensors 2015.

Degree: 2015, Repositório Científico do Instituto Politécnico de Lisboa

Dissertação para a obtenção do grau de Mestre em Engenharia Electrotécnica Ramo de Energia

O propósito deste trabalho é construir um modelo baseado em informação… (more)

Subjects/Keywords: Sensors; Smart house; Store information; Activities; Behavior; Cameras; ID3 algorithm; Fuzzy logic; Neural networks; Neural-fuzzy; Markov chain Monte Carlo; Communication protocols; Database; Text files; CSV files

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APA (6th Edition):

Mendes, P. R. (2015). Building a person home behavior model based on data from smart house sensors 2015. (Thesis). Repositório Científico do Instituto Politécnico de Lisboa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/5931

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):

Mendes, Pedro Rosário. “Building a person home behavior model based on data from smart house sensors 2015.” 2015. Thesis, Repositório Científico do Instituto Politécnico de Lisboa. Accessed June 16, 2019. http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/5931.

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

MLA Handbook (7th Edition):

Mendes, Pedro Rosário. “Building a person home behavior model based on data from smart house sensors 2015.” 2015. Web. 16 Jun 2019.

Vancouver:

Mendes PR. Building a person home behavior model based on data from smart house sensors 2015. [Internet] [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2015. [cited 2019 Jun 16]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/5931.

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

Council of Science Editors:

Mendes PR. Building a person home behavior model based on data from smart house sensors 2015. [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2015. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/5931

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

12. Attarian, Ioanna Maria. An Analysis and Reasoning Framework for Project Data Software Repositories.

Degree: 2012, University of Waterloo

 As the requirements for software systems increase, their size, complexity and functionality consequently increases as well. This has a direct impact on the complexity of… (more)

Subjects/Keywords: Risk and Quality Assessment; Software Data Repository; Markov Logic Networks

Markov Logic Networks as a probabilistic reasoning method. The AND/OR Goal Tree is a structure… …reasoning and in particular the area of statistical reasoning and Markov Logic Networks. In the… …frameworks in relation to the application of this thesis, are the Markov Logic Networks theory, the… …x29; and Support Vector Machines ([12]). The Markov Logic Networks… …theory was the one utilized in this work. Markov Logic Networks Richardson and Domingos [… 

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APA (6th Edition):

Attarian, I. M. (2012). An Analysis and Reasoning Framework for Project Data Software Repositories. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6659

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):

Attarian, Ioanna Maria. “An Analysis and Reasoning Framework for Project Data Software Repositories.” 2012. Thesis, University of Waterloo. Accessed June 16, 2019. http://hdl.handle.net/10012/6659.

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

MLA Handbook (7th Edition):

Attarian, Ioanna Maria. “An Analysis and Reasoning Framework for Project Data Software Repositories.” 2012. Web. 16 Jun 2019.

Vancouver:

Attarian IM. An Analysis and Reasoning Framework for Project Data Software Repositories. [Internet] [Thesis]. University of Waterloo; 2012. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/10012/6659.

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

Council of Science Editors:

Attarian IM. An Analysis and Reasoning Framework for Project Data Software Repositories. [Thesis]. University of Waterloo; 2012. Available from: http://hdl.handle.net/10012/6659

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

13. HE ZHIJIE. Generic Event Extraction Using Markov Logic Networks.

Degree: 2013, National University of Singapore

Subjects/Keywords: Event Extraction; Markov Logic Networks; ACE 2005; Template Filing; Event identification; Event classification

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APA (6th Edition):

ZHIJIE, H. (2013). Generic Event Extraction Using Markov Logic Networks. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/48695

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):

ZHIJIE, HE. “Generic Event Extraction Using Markov Logic Networks.” 2013. Thesis, National University of Singapore. Accessed June 16, 2019. http://scholarbank.nus.edu.sg/handle/10635/48695.

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

MLA Handbook (7th Edition):

ZHIJIE, HE. “Generic Event Extraction Using Markov Logic Networks.” 2013. Web. 16 Jun 2019.

Vancouver:

ZHIJIE H. Generic Event Extraction Using Markov Logic Networks. [Internet] [Thesis]. National University of Singapore; 2013. [cited 2019 Jun 16]. Available from: http://scholarbank.nus.edu.sg/handle/10635/48695.

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

Council of Science Editors:

ZHIJIE H. Generic Event Extraction Using Markov Logic Networks. [Thesis]. National University of Singapore; 2013. Available from: http://scholarbank.nus.edu.sg/handle/10635/48695

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

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