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BMCBI
2010
105views more  BMCBI 2010»
15 years 3 months ago
Effects of scanning sensitivity and multiple scan algorithms on microarray data quality
Background: Maximizing the utility of DNA microarray data requires optimization of data acquisition through selection of an appropriate scanner setting. To increase the amount of ...
Andrew Williams, Errol M. Thomson
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 4 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
IEEECIT
2010
IEEE
15 years 1 months ago
Superblock-Based Source Code Optimizations for WCET Reduction
—Superblocks represent regions in a program code that consist of multiple basic blocks. Compilers benefit from this structure since it enables optimization across block boundari...
Paul Lokuciejewski, Timon Kelter, Peter Marwedel
ICML
2009
IEEE
16 years 3 months ago
Trajectory prediction: learning to map situations to robot trajectories
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a ne...
Nikolay Jetchev, Marc Toussaint
SCOPES
2007
Springer
15 years 9 months ago
Optimization of dynamic data structures in multimedia embedded systems using evolutionary computation
Embedded consumer devices are increasing their capabilities and can now implement new multimedia applications reserved only for powerful desktops a few years ago. These applicatio...
David Atienza, Christos Baloukas, Lazaros Papadopo...