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You searched for +publisher:"Victoria University of Wellington" +contributor:("Zhang, Mengjie"). Showing records 1 – 30 of 36 total matches.

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Victoria University of Wellington

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

Degree: 2011, Victoria University of Wellington

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Kinzett, Alan David. “Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming.” 2011. Masters Thesis, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/1863.

MLA Handbook (7th Edition):

Kinzett, Alan David. “Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming.” 2011. Web. 20 Sep 2020.

Vancouver:

Kinzett AD. Numerical Simplification and its Effect on Fragment Distributions in Genetic Programming. [Internet] [Masters thesis]. Victoria University of Wellington; 2011. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/1863.

Council of Science Editors:

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


Victoria University of Wellington

2. Downey, Carlton. Explorations in Parallel Linear Genetic Programming.

Degree: 2011, Victoria University of Wellington

 Linear Genetic Programming (LGP) is a powerful problem-solving technique, but one with several significant weaknesses. LGP programs consist of a linear sequence of instructions, where… (more)

Subjects/Keywords: Genetic programming

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APA (6th Edition):

Downey, C. (2011). Explorations in Parallel Linear Genetic Programming. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/2312

Chicago Manual of Style (16th Edition):

Downey, Carlton. “Explorations in Parallel Linear Genetic Programming.” 2011. Masters Thesis, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/2312.

MLA Handbook (7th Edition):

Downey, Carlton. “Explorations in Parallel Linear Genetic Programming.” 2011. Web. 20 Sep 2020.

Vancouver:

Downey C. Explorations in Parallel Linear Genetic Programming. [Internet] [Masters thesis]. Victoria University of Wellington; 2011. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/2312.

Council of Science Editors:

Downey C. Explorations in Parallel Linear Genetic Programming. [Masters Thesis]. Victoria University of Wellington; 2011. Available from: http://hdl.handle.net/10063/2312


Victoria University of Wellington

3. Chen, Qi. Improving the Generalisation of Genetic Programming for Symbolic Regression.

Degree: 2018, Victoria University of Wellington

 Symbolic regression (SR) is a function identification process, the task of which is to identify and express the relationship between the input and output variables… (more)

Subjects/Keywords: Genetic Programming; Symbolic regression; Generalisation

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APA (6th Edition):

Chen, Q. (2018). Improving the Generalisation of Genetic Programming for Symbolic Regression. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/7029

Chicago Manual of Style (16th Edition):

Chen, Qi. “Improving the Generalisation of Genetic Programming for Symbolic Regression.” 2018. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/7029.

MLA Handbook (7th Edition):

Chen, Qi. “Improving the Generalisation of Genetic Programming for Symbolic Regression.” 2018. Web. 20 Sep 2020.

Vancouver:

Chen Q. Improving the Generalisation of Genetic Programming for Symbolic Regression. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/7029.

Council of Science Editors:

Chen Q. Improving the Generalisation of Genetic Programming for Symbolic Regression. [Doctoral Dissertation]. Victoria University of Wellington; 2018. Available from: http://hdl.handle.net/10063/7029


Victoria University of Wellington

4. Tran, Binh Ngan. Evolutionary Computation for Feature Manipulation in Classification on High-dimensional Data.

Degree: 2018, Victoria University of Wellington

 More and more high-dimensional data appears in machine learning, especially in classification tasks. With thousands of features, these datasets bring challenges to learning algorithms not… (more)

Subjects/Keywords: Evolutionary Computation; Feature selection; Feature construction; Classification; High-dimensional data

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APA (6th Edition):

Tran, B. N. (2018). Evolutionary Computation for Feature Manipulation in Classification on High-dimensional Data. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/7078

Chicago Manual of Style (16th Edition):

Tran, Binh Ngan. “Evolutionary Computation for Feature Manipulation in Classification on High-dimensional Data.” 2018. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/7078.

MLA Handbook (7th Edition):

Tran, Binh Ngan. “Evolutionary Computation for Feature Manipulation in Classification on High-dimensional Data.” 2018. Web. 20 Sep 2020.

Vancouver:

Tran BN. Evolutionary Computation for Feature Manipulation in Classification on High-dimensional Data. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/7078.

Council of Science Editors:

Tran BN. Evolutionary Computation for Feature Manipulation in Classification on High-dimensional Data. [Doctoral Dissertation]. Victoria University of Wellington; 2018. Available from: http://hdl.handle.net/10063/7078


Victoria University of Wellington

5. Tran, Cao Truong. Evolutionary Machine Learning for Classification with Incomplete Data.

Degree: 2018, Victoria University of Wellington

 Classification is a major task in machine learning and data mining. Many real-world datasets suffer from the unavoidable issue of missing values. Classification with incomplete… (more)

Subjects/Keywords: Incomplete data; Missing data; Classification; Machine learning; Evolutionary computation; Genetic programming; Ensemble learning; Feature selection; Feature construction

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APA (6th Edition):

Tran, C. T. (2018). Evolutionary Machine Learning for Classification with Incomplete Data. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/7639

Chicago Manual of Style (16th Edition):

Tran, Cao Truong. “Evolutionary Machine Learning for Classification with Incomplete Data.” 2018. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/7639.

MLA Handbook (7th Edition):

Tran, Cao Truong. “Evolutionary Machine Learning for Classification with Incomplete Data.” 2018. Web. 20 Sep 2020.

Vancouver:

Tran CT. Evolutionary Machine Learning for Classification with Incomplete Data. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/7639.

Council of Science Editors:

Tran CT. Evolutionary Machine Learning for Classification with Incomplete Data. [Doctoral Dissertation]. Victoria University of Wellington; 2018. Available from: http://hdl.handle.net/10063/7639


Victoria University of Wellington

6. Setayesh, Mahdi. Particle Swarm Optimisation for Edge Detection in Noisy Images.

Degree: 2013, Victoria University of Wellington

 Detection of continuous and connected edges is very important in many applications, such as detecting oil slicks in remote sensing and detecting cancers in medical… (more)

Subjects/Keywords: Edge detection; PSO; Noise

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APA (6th Edition):

Setayesh, M. (2013). Particle Swarm Optimisation for Edge Detection in Noisy Images. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/2698

Chicago Manual of Style (16th Edition):

Setayesh, Mahdi. “Particle Swarm Optimisation for Edge Detection in Noisy Images.” 2013. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/2698.

MLA Handbook (7th Edition):

Setayesh, Mahdi. “Particle Swarm Optimisation for Edge Detection in Noisy Images.” 2013. Web. 20 Sep 2020.

Vancouver:

Setayesh M. Particle Swarm Optimisation for Edge Detection in Noisy Images. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2013. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/2698.

Council of Science Editors:

Setayesh M. Particle Swarm Optimisation for Edge Detection in Noisy Images. [Doctoral Dissertation]. Victoria University of Wellington; 2013. Available from: http://hdl.handle.net/10063/2698


Victoria University of Wellington

7. Smart, Will. Empirical Analysis of Schemata in Genetic Programming.

Degree: 2011, Victoria University of Wellington

 Schemata and buiding blocks have been used in Genetic Programming (GP) in several contexts including subroutines, theoretical analysis and for empirical analysis. Of these three… (more)

Subjects/Keywords: Empirical analysis; Schemata; Genetic programming

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APA (6th Edition):

Smart, W. (2011). Empirical Analysis of Schemata in Genetic Programming. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/1826

Chicago Manual of Style (16th Edition):

Smart, Will. “Empirical Analysis of Schemata in Genetic Programming.” 2011. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/1826.

MLA Handbook (7th Edition):

Smart, Will. “Empirical Analysis of Schemata in Genetic Programming.” 2011. Web. 20 Sep 2020.

Vancouver:

Smart W. Empirical Analysis of Schemata in Genetic Programming. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2011. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/1826.

Council of Science Editors:

Smart W. Empirical Analysis of Schemata in Genetic Programming. [Doctoral Dissertation]. Victoria University of Wellington; 2011. Available from: http://hdl.handle.net/10063/1826


Victoria University of Wellington

8. Chandra, Rohitash. Problem Decomposition and Adaptation in Cooperative Neuro-Evolution.

Degree: 2012, Victoria University of Wellington

 One way to train neural networks is to use evolutionary algorithms such as cooperative coevolution - a method that decomposes the network's learnable parameters into… (more)

Subjects/Keywords: Neural networks; Cooperative coevolution; Recurrent network; Co-operative co-evolution

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APA (6th Edition):

Chandra, R. (2012). Problem Decomposition and Adaptation in Cooperative Neuro-Evolution. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/2110

Chicago Manual of Style (16th Edition):

Chandra, Rohitash. “Problem Decomposition and Adaptation in Cooperative Neuro-Evolution.” 2012. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/2110.

MLA Handbook (7th Edition):

Chandra, Rohitash. “Problem Decomposition and Adaptation in Cooperative Neuro-Evolution.” 2012. Web. 20 Sep 2020.

Vancouver:

Chandra R. Problem Decomposition and Adaptation in Cooperative Neuro-Evolution. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2012. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/2110.

Council of Science Editors:

Chandra R. Problem Decomposition and Adaptation in Cooperative Neuro-Evolution. [Doctoral Dissertation]. Victoria University of Wellington; 2012. Available from: http://hdl.handle.net/10063/2110


Victoria University of Wellington

9. Nguyen, Su. Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming.

Degree: 2013, Victoria University of Wellington

 Scheduling is an important planning activity in manufacturing systems to help optimise the usage of scarce resources and improve the customer satisfaction. In the job… (more)

Subjects/Keywords: Genetic programming; Scheduling; Heuristic

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APA (6th Edition):

Nguyen, S. (2013). Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3018

Chicago Manual of Style (16th Edition):

Nguyen, Su. “Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming.” 2013. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/3018.

MLA Handbook (7th Edition):

Nguyen, Su. “Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming.” 2013. Web. 20 Sep 2020.

Vancouver:

Nguyen S. Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2013. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/3018.

Council of Science Editors:

Nguyen S. Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming. [Doctoral Dissertation]. Victoria University of Wellington; 2013. Available from: http://hdl.handle.net/10063/3018


Victoria University of Wellington

10. Marzukhi, Syahaneim. Three-cornered coevolution learning classifier systems for classification.

Degree: 2014, Victoria University of Wellington

 This thesis introduces a Three-Cornered Coevolution System that is capable of addressing classification tasks through coevolution (coadaptive evolution) where three different agents (i.e. a generation… (more)

Subjects/Keywords: LCS; Learning Classifier System; Classification

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APA (6th Edition):

Marzukhi, S. (2014). Three-cornered coevolution learning classifier systems for classification. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3519

Chicago Manual of Style (16th Edition):

Marzukhi, Syahaneim. “Three-cornered coevolution learning classifier systems for classification.” 2014. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/3519.

MLA Handbook (7th Edition):

Marzukhi, Syahaneim. “Three-cornered coevolution learning classifier systems for classification.” 2014. Web. 20 Sep 2020.

Vancouver:

Marzukhi S. Three-cornered coevolution learning classifier systems for classification. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/3519.

Council of Science Editors:

Marzukhi S. Three-cornered coevolution learning classifier systems for classification. [Doctoral Dissertation]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3519


Victoria University of Wellington

11. Neshatian, Kourosh. Feature Manipulation with Genetic Programming.

Degree: 2010, Victoria University of Wellington

 Feature manipulation refers to the process by which the input space of a machine learning task is altered in order to improve the learning quality… (more)

Subjects/Keywords: Machine learning; Evolutionary algorithms; Feature selection; Feature construction

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APA (6th Edition):

Neshatian, K. (2010). Feature Manipulation with Genetic Programming. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/4425

Chicago Manual of Style (16th Edition):

Neshatian, Kourosh. “Feature Manipulation with Genetic Programming.” 2010. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/4425.

MLA Handbook (7th Edition):

Neshatian, Kourosh. “Feature Manipulation with Genetic Programming.” 2010. Web. 20 Sep 2020.

Vancouver:

Neshatian K. Feature Manipulation with Genetic Programming. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2010. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/4425.

Council of Science Editors:

Neshatian K. Feature Manipulation with Genetic Programming. [Doctoral Dissertation]. Victoria University of Wellington; 2010. Available from: http://hdl.handle.net/10063/4425


Victoria University of Wellington

12. Ahmed, Soha. Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data.

Degree: 2015, Victoria University of Wellington

 Mass spectrometry (MS) is currently the most commonly used technology in biochemical research for proteomic analysis. The primary goal of proteomic profiling using mass spectrometry… (more)

Subjects/Keywords: Biomarker detection; Mass spectrometry; Genetic programming

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APA (6th Edition):

Ahmed, S. (2015). Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/4913

Chicago Manual of Style (16th Edition):

Ahmed, Soha. “Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data.” 2015. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/4913.

MLA Handbook (7th Edition):

Ahmed, Soha. “Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data.” 2015. Web. 20 Sep 2020.

Vancouver:

Ahmed S. Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2015. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/4913.

Council of Science Editors:

Ahmed S. Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data. [Doctoral Dissertation]. Victoria University of Wellington; 2015. Available from: http://hdl.handle.net/10063/4913


Victoria University of Wellington

13. Hunt, Rachel. Genetic Programming Hyper-heuristics for Job Shop Scheduling.

Degree: 2016, Victoria University of Wellington

 Scheduling problems arise whenever there is a choice of order in which a number of tasks should be performed; they arise commonly, daily and everywhere.… (more)

Subjects/Keywords: Genetic Programming; Hyper-heuristics; Scheduling

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APA (6th Edition):

Hunt, R. (2016). Genetic Programming Hyper-heuristics for Job Shop Scheduling. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/5219

Chicago Manual of Style (16th Edition):

Hunt, Rachel. “Genetic Programming Hyper-heuristics for Job Shop Scheduling.” 2016. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/5219.

MLA Handbook (7th Edition):

Hunt, Rachel. “Genetic Programming Hyper-heuristics for Job Shop Scheduling.” 2016. Web. 20 Sep 2020.

Vancouver:

Hunt R. Genetic Programming Hyper-heuristics for Job Shop Scheduling. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2016. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/5219.

Council of Science Editors:

Hunt R. Genetic Programming Hyper-heuristics for Job Shop Scheduling. [Doctoral Dissertation]. Victoria University of Wellington; 2016. Available from: http://hdl.handle.net/10063/5219

14. Lewis, John. Learning from the Artist: Theory and Practice of Example-Based Character Deformation.

Degree: 2016, Victoria University of Wellington

 Movie and game production is very laborious, frequently involving hundreds of person-years for a single project. At present this work is difficult to fully automate,… (more)

Subjects/Keywords: Character animation; Computer graphics; Regression

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APA (6th Edition):

Lewis, J. (2016). Learning from the Artist: Theory and Practice of Example-Based Character Deformation. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/5255

Chicago Manual of Style (16th Edition):

Lewis, John. “Learning from the Artist: Theory and Practice of Example-Based Character Deformation.” 2016. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/5255.

MLA Handbook (7th Edition):

Lewis, John. “Learning from the Artist: Theory and Practice of Example-Based Character Deformation.” 2016. Web. 20 Sep 2020.

Vancouver:

Lewis J. Learning from the Artist: Theory and Practice of Example-Based Character Deformation. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2016. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/5255.

Council of Science Editors:

Lewis J. Learning from the Artist: Theory and Practice of Example-Based Character Deformation. [Doctoral Dissertation]. Victoria University of Wellington; 2016. Available from: http://hdl.handle.net/10063/5255


Victoria University of Wellington

15. Evans, Benjamin. Population-based Ensemble Learning with Tree Structures for Classification.

Degree: 2019, Victoria University of Wellington

 Ensemble learning is one of the most powerful extensions for improving upon individual machine learning models. Rather than a single model being used, several models… (more)

Subjects/Keywords: Machine learning; Ensemble learning; Interpretable machine learning; Genetic programming; Automated machine learning

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APA (6th Edition):

Evans, B. (2019). Population-based Ensemble Learning with Tree Structures for Classification. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/8179

Chicago Manual of Style (16th Edition):

Evans, Benjamin. “Population-based Ensemble Learning with Tree Structures for Classification.” 2019. Masters Thesis, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/8179.

MLA Handbook (7th Edition):

Evans, Benjamin. “Population-based Ensemble Learning with Tree Structures for Classification.” 2019. Web. 20 Sep 2020.

Vancouver:

Evans B. Population-based Ensemble Learning with Tree Structures for Classification. [Internet] [Masters thesis]. Victoria University of Wellington; 2019. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/8179.

Council of Science Editors:

Evans B. Population-based Ensemble Learning with Tree Structures for Classification. [Masters Thesis]. Victoria University of Wellington; 2019. Available from: http://hdl.handle.net/10063/8179


Victoria University of Wellington

16. Peng, Yiming. Policy Direct Search for Effective Reinforcement Learning.

Degree: 2019, Victoria University of Wellington

 Reinforcement Learning (RL) problems appear in diverse real-world applications and are gaining substantial attention in academia and industry. Policy Direct Search (PDS) is widely recognized… (more)

Subjects/Keywords: Reinforcement Learning; Machine learning; Artificial intelligence

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APA (6th Edition):

Peng, Y. (2019). Policy Direct Search for Effective Reinforcement Learning. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/8289

Chicago Manual of Style (16th Edition):

Peng, Yiming. “Policy Direct Search for Effective Reinforcement Learning.” 2019. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/8289.

MLA Handbook (7th Edition):

Peng, Yiming. “Policy Direct Search for Effective Reinforcement Learning.” 2019. Web. 20 Sep 2020.

Vancouver:

Peng Y. Policy Direct Search for Effective Reinforcement Learning. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2019. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/8289.

Council of Science Editors:

Peng Y. Policy Direct Search for Effective Reinforcement Learning. [Doctoral Dissertation]. Victoria University of Wellington; 2019. Available from: http://hdl.handle.net/10063/8289


Victoria University of Wellington

17. Hindmarsh, Samuel. Investigating the effects of corpus and configuration on assistive input methods.

Degree: 2014, Victoria University of Wellington

 Assistive technologies aim to provide assistance to those who are unable to perform various tasks in their day-to-day lives without tremendous difficulty. This includes —… (more)

Subjects/Keywords: Assistive input methods; Assistive technologies; HCI

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APA (6th Edition):

Hindmarsh, S. (2014). Investigating the effects of corpus and configuration on assistive input methods. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3660

Chicago Manual of Style (16th Edition):

Hindmarsh, Samuel. “Investigating the effects of corpus and configuration on assistive input methods.” 2014. Masters Thesis, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/3660.

MLA Handbook (7th Edition):

Hindmarsh, Samuel. “Investigating the effects of corpus and configuration on assistive input methods.” 2014. Web. 20 Sep 2020.

Vancouver:

Hindmarsh S. Investigating the effects of corpus and configuration on assistive input methods. [Internet] [Masters thesis]. Victoria University of Wellington; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/3660.

Council of Science Editors:

Hindmarsh S. Investigating the effects of corpus and configuration on assistive input methods. [Masters Thesis]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3660


Victoria University of Wellington

18. Yu, Yang. Genetic Programming for QoS-Aware Data-Intensive Web Service Composition and Execution.

Degree: 2015, Victoria University of Wellington

 Web service composition has become a promising technique to build powerful enterprise applications by making use of distributed services with different functions. In the age… (more)

Subjects/Keywords: QoS; Quality of Service; Data-intensive; Service composition and execution

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APA (6th Edition):

Yu, Y. (2015). Genetic Programming for QoS-Aware Data-Intensive Web Service Composition and Execution. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/4985

Chicago Manual of Style (16th Edition):

Yu, Yang. “Genetic Programming for QoS-Aware Data-Intensive Web Service Composition and Execution.” 2015. Masters Thesis, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/4985.

MLA Handbook (7th Edition):

Yu, Yang. “Genetic Programming for QoS-Aware Data-Intensive Web Service Composition and Execution.” 2015. Web. 20 Sep 2020.

Vancouver:

Yu Y. Genetic Programming for QoS-Aware Data-Intensive Web Service Composition and Execution. [Internet] [Masters thesis]. Victoria University of Wellington; 2015. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/4985.

Council of Science Editors:

Yu Y. Genetic Programming for QoS-Aware Data-Intensive Web Service Composition and Execution. [Masters Thesis]. Victoria University of Wellington; 2015. Available from: http://hdl.handle.net/10063/4985


Victoria University of Wellington

19. Lensen, Andrew. Evolutionary Feature Manipulation in Unsupervised Learning.

Degree: 2019, Victoria University of Wellington

 Unsupervised learning is a fundamental category of machine learning that works on data for which no pre-existing labels are available. Unlike in supervised learning, which… (more)

Subjects/Keywords: Evolutionary computation; Feature manipulation; Unsupervised learning; Genetic programming; Clustering; Manifold learning; Feature construction; Feature selection; Particle swarm optimisation

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APA (6th Edition):

Lensen, A. (2019). Evolutionary Feature Manipulation in Unsupervised Learning. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/8617

Chicago Manual of Style (16th Edition):

Lensen, Andrew. “Evolutionary Feature Manipulation in Unsupervised Learning.” 2019. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/8617.

MLA Handbook (7th Edition):

Lensen, Andrew. “Evolutionary Feature Manipulation in Unsupervised Learning.” 2019. Web. 20 Sep 2020.

Vancouver:

Lensen A. Evolutionary Feature Manipulation in Unsupervised Learning. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2019. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/8617.

Council of Science Editors:

Lensen A. Evolutionary Feature Manipulation in Unsupervised Learning. [Doctoral Dissertation]. Victoria University of Wellington; 2019. Available from: http://hdl.handle.net/10063/8617


Victoria University of Wellington

20. Liang, Yuyu. Genetic Programming for Supervised Figure-ground Image Segmentation.

Degree: 2018, Victoria University of Wellington

 Figure-ground segmentation is a process of separating regions of interest from unimportant backgrounds. It is essential to various applications in computer vi- sion and image… (more)

Subjects/Keywords: Genetic programming; Segmentation; Feature

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APA (6th Edition):

Liang, Y. (2018). Genetic Programming for Supervised Figure-ground Image Segmentation. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/6923

Chicago Manual of Style (16th Edition):

Liang, Yuyu. “Genetic Programming for Supervised Figure-ground Image Segmentation.” 2018. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/6923.

MLA Handbook (7th Edition):

Liang, Yuyu. “Genetic Programming for Supervised Figure-ground Image Segmentation.” 2018. Web. 20 Sep 2020.

Vancouver:

Liang Y. Genetic Programming for Supervised Figure-ground Image Segmentation. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/6923.

Council of Science Editors:

Liang Y. Genetic Programming for Supervised Figure-ground Image Segmentation. [Doctoral Dissertation]. Victoria University of Wellington; 2018. Available from: http://hdl.handle.net/10063/6923


Victoria University of Wellington

21. Alvarez, Isidro M. Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems.

Degree: 2017, Victoria University of Wellington

 Learning is an important activity through which humanity has incrementally improved accomplishing tasks by adapting knowledge and methods based on the related feedback. Although learning… (more)

Subjects/Keywords: LCS; XCS; Scalability; Code fragments; Learning; Learning Classifier Systems; eXtended Classifier System

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APA (6th Edition):

Alvarez, I. M. (2017). Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/6785

Chicago Manual of Style (16th Edition):

Alvarez, Isidro M. “Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems.” 2017. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/6785.

MLA Handbook (7th Edition):

Alvarez, Isidro M. “Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems.” 2017. Web. 20 Sep 2020.

Vancouver:

Alvarez IM. Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2017. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/6785.

Council of Science Editors:

Alvarez IM. Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems. [Doctoral Dissertation]. Victoria University of Wellington; 2017. Available from: http://hdl.handle.net/10063/6785


Victoria University of Wellington

22. Afzali Vahed Moghaddam, Shima. Evolutionary Computation for Feature Manipulation in Salient Object Detection.

Degree: 2020, Victoria University of Wellington

 The human visual system can efficiently cope with complex natural scenes containing various objects at different scales using the visual attention mechanism. Salient object detection… (more)

Subjects/Keywords: Salient object detection; Evolutionary computation; Feature manipulation

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APA (6th Edition):

Afzali Vahed Moghaddam, S. (2020). Evolutionary Computation for Feature Manipulation in Salient Object Detection. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/8897

Chicago Manual of Style (16th Edition):

Afzali Vahed Moghaddam, Shima. “Evolutionary Computation for Feature Manipulation in Salient Object Detection.” 2020. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/8897.

MLA Handbook (7th Edition):

Afzali Vahed Moghaddam, Shima. “Evolutionary Computation for Feature Manipulation in Salient Object Detection.” 2020. Web. 20 Sep 2020.

Vancouver:

Afzali Vahed Moghaddam S. Evolutionary Computation for Feature Manipulation in Salient Object Detection. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2020. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/8897.

Council of Science Editors:

Afzali Vahed Moghaddam S. Evolutionary Computation for Feature Manipulation in Salient Object Detection. [Doctoral Dissertation]. Victoria University of Wellington; 2020. Available from: http://hdl.handle.net/10063/8897


Victoria University of Wellington

23. Azari, Samaneh. Evolutionary Algorithms for Improving De Novo Peptide Sequencing.

Degree: 2020, Victoria University of Wellington

 De novo peptide sequencing algorithms have been developed for peptide identification in proteomics from tandem mass spectra (MS/MS), which can be used to identify and… (more)

Subjects/Keywords: Evolutionary Algorithms; Tandem Mass Spectrometry; De Novo Sequencing; Peptide Identification; MS/MS; Genetic Programming; Genetic Algorithms

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APA (6th Edition):

Azari, S. (2020). Evolutionary Algorithms for Improving De Novo Peptide Sequencing. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/8898

Chicago Manual of Style (16th Edition):

Azari, Samaneh. “Evolutionary Algorithms for Improving De Novo Peptide Sequencing.” 2020. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/8898.

MLA Handbook (7th Edition):

Azari, Samaneh. “Evolutionary Algorithms for Improving De Novo Peptide Sequencing.” 2020. Web. 20 Sep 2020.

Vancouver:

Azari S. Evolutionary Algorithms for Improving De Novo Peptide Sequencing. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2020. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/8898.

Council of Science Editors:

Azari S. Evolutionary Algorithms for Improving De Novo Peptide Sequencing. [Doctoral Dissertation]. Victoria University of Wellington; 2020. Available from: http://hdl.handle.net/10063/8898


Victoria University of Wellington

24. Karunakaran, Deepak. Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment.

Degree: 2019, Victoria University of Wellington

 Scheduling is an important problem in artificial intelligence and operations research. In production processes, it deals with the problem of allocation of resources to different… (more)

Subjects/Keywords: Online scheduling; Genetic programming; Active learning

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APA (6th Edition):

Karunakaran, D. (2019). Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/8614

Chicago Manual of Style (16th Edition):

Karunakaran, Deepak. “Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment.” 2019. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/8614.

MLA Handbook (7th Edition):

Karunakaran, Deepak. “Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment.” 2019. Web. 20 Sep 2020.

Vancouver:

Karunakaran D. Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2019. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/8614.

Council of Science Editors:

Karunakaran D. Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment. [Doctoral Dissertation]. Victoria University of Wellington; 2019. Available from: http://hdl.handle.net/10063/8614

25. Al-Sahaf, Harith. Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances.

Degree: 2017, Victoria University of Wellington

 Image classification is a core task in many applications of computer vision, including object detection and recognition. It aims at analysing the visual content and… (more)

Subjects/Keywords: Classification; Descriptors; Genetic Programming

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APA (6th Edition):

Al-Sahaf, H. (2017). Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/6177

Chicago Manual of Style (16th Edition):

Al-Sahaf, Harith. “Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances.” 2017. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/6177.

MLA Handbook (7th Edition):

Al-Sahaf, Harith. “Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances.” 2017. Web. 20 Sep 2020.

Vancouver:

Al-Sahaf H. Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2017. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/6177.

Council of Science Editors:

Al-Sahaf H. Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances. [Doctoral Dissertation]. Victoria University of Wellington; 2017. Available from: http://hdl.handle.net/10063/6177

26. Fu, Wenlong. Feature Extraction in Edge Detection using Genetic Programming.

Degree: 2014, Victoria University of Wellington

 Edge detection is important in image processing. Extracting edge features is the main and necessary process in edge detection. Since features in edge detection are… (more)

Subjects/Keywords: Feature extraction; Edge detection; Genetic programming

…New Zealand VUW0806) and Victoria University of Wellington (Vice Chancellor’s… 

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APA (6th Edition):

Fu, W. (2014). Feature Extraction in Edge Detection using Genetic Programming. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3163

Chicago Manual of Style (16th Edition):

Fu, Wenlong. “Feature Extraction in Edge Detection using Genetic Programming.” 2014. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/3163.

MLA Handbook (7th Edition):

Fu, Wenlong. “Feature Extraction in Edge Detection using Genetic Programming.” 2014. Web. 20 Sep 2020.

Vancouver:

Fu W. Feature Extraction in Edge Detection using Genetic Programming. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/3163.

Council of Science Editors:

Fu W. Feature Extraction in Edge Detection using Genetic Programming. [Doctoral Dissertation]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3163

27. Xue, Bing. Particle Swarm Optimisation for Feature Selection in Classification.

Degree: 2014, Victoria University of Wellington

 Classification problems often have a large number of features, but not all of them are useful for classification. Irrelevant and redundant features may even reduce… (more)

Subjects/Keywords: Feature selection; Particle swarm optimisation; Classification

…Computer Science and Faculty of Engineering at Victoria University of Wellington for their… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Xue, B. (2014). Particle Swarm Optimisation for Feature Selection in Classification. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3198

Chicago Manual of Style (16th Edition):

Xue, Bing. “Particle Swarm Optimisation for Feature Selection in Classification.” 2014. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/3198.

MLA Handbook (7th Edition):

Xue, Bing. “Particle Swarm Optimisation for Feature Selection in Classification.” 2014. Web. 20 Sep 2020.

Vancouver:

Xue B. Particle Swarm Optimisation for Feature Selection in Classification. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/3198.

Council of Science Editors:

Xue B. Particle Swarm Optimisation for Feature Selection in Classification. [Doctoral Dissertation]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3198

28. Mirghasemi, Saeed. Particle Swarm Optimization and Fuzzy C-means for Domain-independent Noisy Image Segmentation.

Degree: 2017, Victoria University of Wellington

 Image segmentation is considered to be one of the foremost image analysis techniques for high-level real-world applications in computer vision. Its task is to change… (more)

Subjects/Keywords: Noisy image segmentation; Particle Swarm Optimization; Fuzzy C-Means

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APA (6th Edition):

Mirghasemi, S. (2017). Particle Swarm Optimization and Fuzzy C-means for Domain-independent Noisy Image Segmentation. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/6617

Chicago Manual of Style (16th Edition):

Mirghasemi, Saeed. “Particle Swarm Optimization and Fuzzy C-means for Domain-independent Noisy Image Segmentation.” 2017. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/6617.

MLA Handbook (7th Edition):

Mirghasemi, Saeed. “Particle Swarm Optimization and Fuzzy C-means for Domain-independent Noisy Image Segmentation.” 2017. Web. 20 Sep 2020.

Vancouver:

Mirghasemi S. Particle Swarm Optimization and Fuzzy C-means for Domain-independent Noisy Image Segmentation. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2017. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/6617.

Council of Science Editors:

Mirghasemi S. Particle Swarm Optimization and Fuzzy C-means for Domain-independent Noisy Image Segmentation. [Doctoral Dissertation]. Victoria University of Wellington; 2017. Available from: http://hdl.handle.net/10063/6617

29. Iqbal, Muhammad. Improving the Scalability of XCS-Based Learning Classifier Systems.

Degree: 2014, Victoria University of Wellington

 Using evolutionary intelligence and machine learning techniques, a broad range of intelligent machines have been designed to perform different tasks. An intelligent machine learns by… (more)

Subjects/Keywords: LCS; XCS; Scalability; Learning classifier systems; Evolutionary computation

…acknowledge the financial support from Student Academic Services at the Victoria University of… …and the cooperative behaviour of the group members. I am thankful to the Victoria University… …of Wellington for awarding me the Victoria PhD Scholarship and to Mengjie Zhang for… …Wellington, International Student Ministries of New Zealand, Federation of Islamic Associations of… 

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APA (6th Edition):

Iqbal, M. (2014). Improving the Scalability of XCS-Based Learning Classifier Systems. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3225

Chicago Manual of Style (16th Edition):

Iqbal, Muhammad. “Improving the Scalability of XCS-Based Learning Classifier Systems.” 2014. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/3225.

MLA Handbook (7th Edition):

Iqbal, Muhammad. “Improving the Scalability of XCS-Based Learning Classifier Systems.” 2014. Web. 20 Sep 2020.

Vancouver:

Iqbal M. Improving the Scalability of XCS-Based Learning Classifier Systems. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/3225.

Council of Science Editors:

Iqbal M. Improving the Scalability of XCS-Based Learning Classifier Systems. [Doctoral Dissertation]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3225

30. Rada-Vilela, Juan. Population Statistics for Particle Swarm Optimization on Problems Subject to Noise.

Degree: 2014, Victoria University of Wellington

 Particle Swarm Optimization (PSO) is a metaheuristic where a swarm of particles explores the search space of an optimization problem to find good solutions. However,… (more)

Subjects/Keywords: Paticle Swarm Optimization; Population statistics; Noisy optimization

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APA (6th Edition):

Rada-Vilela, J. (2014). Population Statistics for Particle Swarm Optimization on Problems Subject to Noise. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3293

Chicago Manual of Style (16th Edition):

Rada-Vilela, Juan. “Population Statistics for Particle Swarm Optimization on Problems Subject to Noise.” 2014. Doctoral Dissertation, Victoria University of Wellington. Accessed September 20, 2020. http://hdl.handle.net/10063/3293.

MLA Handbook (7th Edition):

Rada-Vilela, Juan. “Population Statistics for Particle Swarm Optimization on Problems Subject to Noise.” 2014. Web. 20 Sep 2020.

Vancouver:

Rada-Vilela J. Population Statistics for Particle Swarm Optimization on Problems Subject to Noise. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10063/3293.

Council of Science Editors:

Rada-Vilela J. Population Statistics for Particle Swarm Optimization on Problems Subject to Noise. [Doctoral Dissertation]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3293

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