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- 28Computing Science, Department of/Technical Reports (Computing Science)
- 5Educational Psychology, Department of
- 5Educational Psychology, Department of/Journal Articles (Educational Psychology)
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- 1Agricultural, Food and Nutritional Science, Department of/Journal Articles (Agricultural, Food and Nutritional Science)
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1995
MacDonald, Steve, Schaeffer, Jonathan, Novillo, Diego, Woloschuk, David, Parsons, Ian, Szafron, Duane, Iglinski, Paul, Morrow, Chris
Technical report TR95-02. This paper contains an introduction and user manual for the Enterprise Parallel Programming System, including the programming model, the meta-programming model and tools (animation, replay and debugging). | TRID-ID TR95-02
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2008
Schaeffer, Jonathan, Cutumisu, Maria, Waugh, Kevin, Siegel, Jeff, Szafron, Duane, Schumacher, Allan, Duff, Harvey, Gillis, Stephanie, Carbonaro, Mike, Onuczko, Curtis
The unprecedented growth in numbers of children playing computer games has stimulated discussion and research regarding what, if any, educational value these games have for teaching and learning. The research on this topic has primarily focused on children as players of computer games rather than...
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2012
Lanctot, Marc, Gibson, Richard, Burch, Neil, Szafron, Duane
In large extensive form games with imperfect information, Counterfactual Regret Minimization (CFR) is a popular, iterative algorithm for computing approximate Nash equilibria. While the base algorithm performs a full tree traversal on each iteration, Monte Carlo CFR (MCCFR) reduces the per...
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1996
Szafron, Duane, Li, John, Ozsu, M. Tamer
Technical report TR96-05. In this paper we consider various spatial relationships that are of general interest for retrieving data from multimedia databases. We present a unified representation of spatial objects for both topological and directional relations. Such a representation is based on...
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2006
Onuczko, Curtis, Schaeffer, Jonathan, Cutumisu, Maria, Roy, Thomas, Carbonaro, Mike, McNaughton, Matthew, Szafron, Duane
To compete in today's market, companies that develop computer role-playing games (CRPGs) must quickly and reliably create realistic, engaging game stories. Indeed, intricate storylines and realism that goes beyond graphics have become major product differentiators. To establish both, it's...
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2001
Schaeffer, Jonathan, Charter, K., Lu, Paul, Szafron, Duane, Parsons, I., Driga, A.
Technical report TR01-10. For two DNA or protein sequences of length m and n, dynamic programming alignment algorithms like Needleman-Wunsch and Smith-Waterman take O(m x n) time and use O(m x n) space, so we refer to them as full matrix (FM) algorithms. This space requirement means that large...
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2004
Cutumisu, M., McNaughton, M., Parker, D., Schaeffer, Jonathan, Redford, J., Szafron, Duane
Technical report TR04-05. Recently, some researchers have argued that generative design patterns (GDPs) can leverage the obvious design re-use that characterizes traditional design patterns into code re-use. This paper provides additional evidence that GDPs are both useful and productive. ...
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1997
Ozsu, M. Tamer, Li, John, Szafron, Duane
Technical report TR97-01. Declarative query languages are an important feature of database management systems and have played an important role in their success. As database management technology enters the multimedia information system domain, the availability of query languages for multimedia...
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1992
Schaeffer, Jonathan, Lobe, Greg, Parsons, Ian, Szafron, Duane, Melax, Stan, Smith, Carol, Lu, Paul
Technical report TR92-20. Workstations have been in use for more than a decade now. Although a network of workstations represents a large amount of aggregate computing power, there is a need for software that can harness this power for single, distributed applications. Enterprise is an...
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2003
Greiner, Russ, Poulin, B., Lu, Paul, Anvik, J., Lu, Z., Macdonell, Cam, Wishart, David, Eisner, Roman, Szafron, Duane
Technical report TR03-09. Naive Bayes classifiers, a popular tool for predicting the labels of query instances, are typically learned from a training set. However, since many training sets contain noisy data, a classifier user may be reluctant to blindly trust a predicted label. We present a...