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You searched for +publisher:"University of Manchester" +contributor:("SHAPIRO, JONATHAN JL"). Showing records 1 – 5 of 5 total matches.

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University of Manchester

1. Parkinson, Jon Charles. Representation learning with a temporally coherent mixed-representation.

Degree: 2017, University of Manchester

Guiding a representation towards capturing temporally coherent aspects present invideo improves object identity encoding. Existing models apply temporal coherenceuniformly over all features based on the… (more)

Subjects/Keywords: Representation learning; Neural Networks; Temporal coherence; Autoencoders; Unsupervised learning; Computer vision

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

APA (6th Edition):

Parkinson, J. C. (2017). Representation learning with a temporally coherent mixed-representation. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:308982

Chicago Manual of Style (16th Edition):

Parkinson, Jon Charles. “Representation learning with a temporally coherent mixed-representation.” 2017. Doctoral Dissertation, University of Manchester. Accessed June 20, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:308982.

MLA Handbook (7th Edition):

Parkinson, Jon Charles. “Representation learning with a temporally coherent mixed-representation.” 2017. Web. 20 Jun 2019.

Vancouver:

Parkinson JC. Representation learning with a temporally coherent mixed-representation. [Internet] [Doctoral dissertation]. University of Manchester; 2017. [cited 2019 Jun 20]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:308982.

Council of Science Editors:

Parkinson JC. Representation learning with a temporally coherent mixed-representation. [Doctoral Dissertation]. University of Manchester; 2017. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:308982


University of Manchester

2. Nogueira, Sarah. Quantifying the Stability of Feature Selection.

Degree: 2018, University of Manchester

 Feature Selection is central to modern data science, from exploratory data analysis to predictive model-building. The "stability"of a feature selection algorithm refers to the robustness… (more)

Subjects/Keywords: Stability; Feature Selection; Variable Selection

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APA (6th Edition):

Nogueira, S. (2018). Quantifying the Stability of Feature Selection. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:313287

Chicago Manual of Style (16th Edition):

Nogueira, Sarah. “Quantifying the Stability of Feature Selection.” 2018. Doctoral Dissertation, University of Manchester. Accessed June 20, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:313287.

MLA Handbook (7th Edition):

Nogueira, Sarah. “Quantifying the Stability of Feature Selection.” 2018. Web. 20 Jun 2019.

Vancouver:

Nogueira S. Quantifying the Stability of Feature Selection. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2019 Jun 20]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:313287.

Council of Science Editors:

Nogueira S. Quantifying the Stability of Feature Selection. [Doctoral Dissertation]. University of Manchester; 2018. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:313287


University of Manchester

3. Ar Rosyid, Harits. Adaptive Serious Educational Games using Machine Learning.

Degree: 2018, University of Manchester

 The ultimate goals of adaptive serious educational games (adaptive SEG) are to promote effective learning and maximising enjoyment for players. Firstly, we develop the SEG… (more)

Subjects/Keywords: serious educational game; development framework; non-intrusive assessment; adaptation; machine learning

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APA (6th Edition):

Ar Rosyid, H. (2018). Adaptive Serious Educational Games using Machine Learning. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:316501

Chicago Manual of Style (16th Edition):

Ar Rosyid, Harits. “Adaptive Serious Educational Games using Machine Learning.” 2018. Doctoral Dissertation, University of Manchester. Accessed June 20, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:316501.

MLA Handbook (7th Edition):

Ar Rosyid, Harits. “Adaptive Serious Educational Games using Machine Learning.” 2018. Web. 20 Jun 2019.

Vancouver:

Ar Rosyid H. Adaptive Serious Educational Games using Machine Learning. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2019 Jun 20]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:316501.

Council of Science Editors:

Ar Rosyid H. Adaptive Serious Educational Games using Machine Learning. [Doctoral Dissertation]. University of Manchester; 2018. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:316501


University of Manchester

4. Nikolaou, Nikolaos. Cost-sensitive boosting: A unified approach.

Degree: 2016, University of Manchester

 In this thesis we provide a unifying framework for two decades of work in an area of Machine Learning known as cost-sensitive Boosting algorithms. This… (more)

Subjects/Keywords: Boosting; Adaboost; cost-sensitive; imbalanced classes; risk minimization; classifier calibration; functional gradient descent; decision theory; margin theory; product of experts; ensemble learning; probability estimation

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

APA (6th Edition):

Nikolaou, N. (2016). Cost-sensitive boosting: A unified approach. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:306158

Chicago Manual of Style (16th Edition):

Nikolaou, Nikolaos. “Cost-sensitive boosting: A unified approach.” 2016. Doctoral Dissertation, University of Manchester. Accessed June 20, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:306158.

MLA Handbook (7th Edition):

Nikolaou, Nikolaos. “Cost-sensitive boosting: A unified approach.” 2016. Web. 20 Jun 2019.

Vancouver:

Nikolaou N. Cost-sensitive boosting: A unified approach. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2019 Jun 20]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:306158.

Council of Science Editors:

Nikolaou N. Cost-sensitive boosting: A unified approach. [Doctoral Dissertation]. University of Manchester; 2016. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:306158

5. Dallali, Houman. MODELLING AND DYNAMIC STABILISATION OF A COMPLIANT HUMANOID ROBOT, CoMan.

Degree: 2012, University of Manchester

 This dissertation presents the results of a series of studies on dynamic stabilisation of CoMan, which is actuated by series elastic actuators. The main goal… (more)

Subjects/Keywords: CoMan; Compliant Humanoid Robot; Centralized and Decentralized Control.

…loop step response. . . . . . . . 314 22 The University of Manchester Houman Dallali… …x29; and s/he has given The University of Manchester the right to use such Copyright for any… …2011, The University of Manchester. 28 Chapter 1 Introduction Control of bipedal walking… 

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

APA (6th Edition):

Dallali, H. (2012). MODELLING AND DYNAMIC STABILISATION OF A COMPLIANT HUMANOID ROBOT, CoMan. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:160712

Chicago Manual of Style (16th Edition):

Dallali, Houman. “MODELLING AND DYNAMIC STABILISATION OF A COMPLIANT HUMANOID ROBOT, CoMan.” 2012. Doctoral Dissertation, University of Manchester. Accessed June 20, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:160712.

MLA Handbook (7th Edition):

Dallali, Houman. “MODELLING AND DYNAMIC STABILISATION OF A COMPLIANT HUMANOID ROBOT, CoMan.” 2012. Web. 20 Jun 2019.

Vancouver:

Dallali H. MODELLING AND DYNAMIC STABILISATION OF A COMPLIANT HUMANOID ROBOT, CoMan. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2019 Jun 20]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:160712.

Council of Science Editors:

Dallali H. MODELLING AND DYNAMIC STABILISATION OF A COMPLIANT HUMANOID ROBOT, CoMan. [Doctoral Dissertation]. University of Manchester; 2012. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:160712

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