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Skip to Search Results- 28Szafron, Duane
- 21Schaeffer, Jonathan
- 19Zaiane, Osmar
- 15Ozsu, M. Tamer
- 14Nascimento, Mario
- 13Yang, Herb
- 29Database Systems
- 18Artificial Intelligence
- 13Computer Games
- 9Computer Graphics
- 9Databases
- 8Communication Networks
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2006
Technical report TR06-07. The development of the Ignorant Value Assessment Tool (DIVAT) for two-player Limit Texas Hold'em is discussed in detail. The tool is then applied to several poker matches to obtain a statistically unbiased reduced-variance analysis of skill differences. Please note:...
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2004
Technical report TR04-22. Model selection problem in Bayesian belief network (BN) structure learning is a classicial problem in the BN literature. To do model selection in BN structure learning, we need a evaluation score and a searching procedure. The generative criteria, AIC, BIC and BDe, are...
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1996
Technical report TR96-30. The increased complexity of object-oriented models necessitates the enhancement of adaptiveness and robustness of an object-oriented design towards changing requirements. The understanding of what properties are critical for construction of an adaptive schema design...
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On the Futility of Blind Search
1996
Technical report TR96-18. This paper might have been subtitled \"An algorithmicist looks at no free lunch.\" We use simple adversary arguments to redevelop and explore some of the no free lunch (NFL) theorems and perhaps extend them a little. A second goal is to clarify the relationship of NFL...
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1994
Technical report TR94-14. Linear Objects (LO) of Andreoli and Pareschi is the first proposal to integrate object-oriented programming into logic programming based on Girard's Linear Logic (LL). In LO each object is represented by a separate open node of a proof tree. This \"insulates\" objects...
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2009
Nikolaidis, Ioanis, Nascimento, Mario A., Malhotra, Baljeet
Technical report TR09-01. Finding the top-k values is an important type of aggregation query in wireless sensor networks. Previous proposals relied on a given underlying logical tree topology for data aggregation/forwarding, but did not pay due attention to the role of such topology. In this...
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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...