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KES
1999
Springer
15 years 8 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
15 years 6 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
IQ
2007
15 years 5 months ago
Rule-Based Measurement Of Data Quality In Nominal Data
: Sufficiently high data quality is crucial for almost every application. Nonetheless, data quality issues are nearly omnipresent. The reasons for poor quality cannot simply be bla...
Jochen Hipp, Markus Müller, Johannes Hohendor...
ICIP
1994
IEEE
16 years 5 months ago
Theory, Simulation and Compensation of Physiological Motion Artifacts in Functional MRI
Mapping the location of brain activity is a new and exciting application of magnetic resonance imaging (MRI). This application area has already seen the use of a variety of magnet...
Douglas C. Noll, Walter Schneider
INFOCOM
2007
IEEE
15 years 10 months ago
On Scalability of Proximity-Aware Peer-to-Peer Streaming
—P2P (peer-to-peer) technology has proved itself an efficient and cost-effective solution to support large-scale multimedia streaming. Different from traditional P2P application...
Liang Dai, Yi Cui, Yuan Xue