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» A Value Theory of Meta-Learning Algorithms
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149
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PAMI
2011
14 years 6 months ago
Meta-Recognition: The Theory and Practice of Recognition Score Analysis
Abstract—In this paper, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its post-recognition score ...
Walter J. Scheirer, Anderson Rocha, Ross J. Michea...
193
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AAMAS
2011
Springer
14 years 10 months ago
Aggregating value ranges: preference elicitation and truthfulness
We study the case where agents have preferences over ranges (intervals) of values, and we wish to elicit and aggregate these preferences. For example, consider a set of climatologi...
Joseph Farfel, Vincent Conitzer
112
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SEMWEB
2007
Springer
15 years 9 months ago
Using the Dempster-Shafer Theory of Evidence to Resolve ABox Inconsistencies
Abstract. Automated ontology population using information extraction algorithms can produce inconsistent knowledge bases. Confidence values assigned by the extraction algorithms m...
Andriy Nikolov, Victoria S. Uren, Enrico Motta, An...
142
Voted
TIP
2010
176views more  TIP 2010»
14 years 10 months ago
A PDE Formalization of Retinex Theory
In 1964 Edwin H. Land formulated the Retinex theory, the first attempt to simulate and explain how the human visual system perceives color. His theory and an extension, the "r...
Jean-Michel Morel, Ana Belen Petro, Catalina Sbert
ATAL
2009
Springer
15 years 10 months ago
Decentralised coordination of continuously valued control parameters using the max-sum algorithm
In this paper we address the problem of decentralised coordination for agents that must make coordinated decisions over continuously valued control parameters (as is required in m...
Ruben Stranders, Alessandro Farinelli, Alex Rogers...