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» A Theory of Probabilistic Functional Testing
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GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
15 years 25 days ago
Theoretical analysis of diversity mechanisms for global exploration
Maintaining diversity is important for the performance of evolutionary algorithms. Diversity mechanisms can enhance global exploration of the search space and enable crossover to ...
Tobias Friedrich, Pietro Simone Oliveto, Dirk Sudh...
STOC
1993
ACM
117views Algorithms» more  STOC 1993»
15 years 3 months ago
Efficient noise-tolerant learning from statistical queries
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
Michael J. Kearns
ATAL
2000
Springer
15 years 4 months ago
Planning-Task Transformations for Soft Deadlines
Agents often have preference models that are more complicated than minimizing the expected execution cost. In this paper, we study how they should act in the presence of uncertaint...
Sven Koenig
93
Voted
ISOLA
2010
Springer
14 years 10 months ago
Ten Years of Performance Evaluation for Concurrent Systems Using CADP
This article comprehensively surveys the work accomplished during the past decade on an approach to analyze concurrent systems qualitatively and quantitatively, by combining functi...
Nicolas Coste, Hubert Garavel, Holger Hermanns, Fr...
CORR
2011
Springer
176views Education» more  CORR 2011»
14 years 6 months ago
Matched Filtering from Limited Frequency Samples
In this paper, we study a simple correlation-based strategy for estimating the unknown delay and amplitude of a signal based on a small number of noisy, randomly chosen frequency-...
Armin Eftekhari, Justin K. Romberg, Michael B. Wak...