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Skip to Search Results- 1Campbell, Sandy
- 1Carbonaro, Mike
- 1Cutumisu, Maria
- 1Farhangfar, Alireza
- 1Fatmi, Mim S.
- 1Graves, Daniel
- 5Graduate and Postdoctoral Studies (GPS), Faculty of
- 5Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
- 1Computing Science, Department of
- 1Computing Science, Department of/Technical Reports (Computing Science)
- 1Educational Psychology, Department of
- 1Educational Psychology, Department of/Journal Articles (Educational Psychology)
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Fall 2009
Most story-based games today have manually-scripted non-player characters (NPCs) and the scripts are usually simple and repetitive since it is time-consuming for game developers to script each character individually. ScriptEase, a publicly-available author-oriented developer tool, attempts to...
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Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications
DownloadSpring 2011
The focus of this study is the development and evaluation of a new partially supervised learning framework. This framework belongs to an emerging field in machine learning that augments unsupervised learning processes with some elements of supervision. It is based on proximity fuzzy clustering,...
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Fall 2010
Non-Player Character (NPC) behaviors in today’s computer games are mostly generated from manually written scripts. The high cost of manually creating complex behaviors for each NPC to exhibit intelligence in response to every situation in the game results in NPCs with repetitive and artificial...
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2006
Cutumisu, Maria, Szafron, Duane, Roy, Thomas, Carbonaro, Mike, McNaughton, Matthew, Schaeffer, Jonathan, Onuczko, Curtis
Many computer games use custom scripts to control the ambient behaviors of non-player characters (NPCs). Therefore, a story writer must write fragments of computer code for the hundreds or thousands of NPCs in the game world. The challenge is to create entertaining and non-repetitive behaviors...
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Spring 2013
Many machine learning algorithms learn from the data by capturing certain interesting characteristics. Decision trees are used in many classification tasks. In some circumstances, we only want to consider fixed-depth trees. Unfortunately, finding the optimal depth-d decision tree can require time...
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Fall 2015
This dissertation first introduces the concepts of robust active learning (also called optimal experimental design in statistics), and the possible advantages of it over the traditional passive learning method. Then a general regression problem with possibly misspecified models is presented, and...
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The Effectiveness of Team Based Learning on Learning Outcomes in Health Professions Education: A Best Evidence for Medical Education (BEME) Systematic Review
Download2011-10-25
Hartling, Lisa, Oswald, Anna E., Hillier, Tracey, Campbell, Sandy, Fatmi, Mim S.
The aim of this systematic review was to asess the effectiveness of team based learning on improving learning outcomes in health professions education in order to provide curriculum planners with more direction in their decision-making with regard to TBL implementation.