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GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
13 years 10 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
PAMI
2008
302views more  PAMI 2008»
13 years 9 months ago
Learning to Detect Moving Shadows in Dynamic Environments
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
Ajay J. Joshi, Nikolaos Papanikolopoulos
AUTOMATICA
1999
96views more  AUTOMATICA 1999»
13 years 8 months ago
Optimization of kanban-based manufacturing systems
We develop and analyze an algorithm to maximize the throughput of a serial kanbanbased manufacturing system with arbitrary arrival and service process distributions by adjusting t...
Christos G. Panayiotou, Christos G. Cassandras
BMCBI
2010
108views more  BMCBI 2010»
13 years 6 months ago
Prediction of RNA secondary structure by maximizing pseudo-expected accuracy
Background: Recent studies have revealed the importance of considering the entire distribution of possible secondary structures in RNA secondary structure predictions; therefore, ...
Michiaki Hamada, Kengo Sato, Kiyoshi Asai
CCS
2007
ACM
14 years 3 months ago
Improving vulnerability discovery models
Security researchers are applying software reliability models to vulnerability data, in an attempt to model the vulnerability discovery process. I show that most current work on t...
Andy Ozment