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BMCBI
2010
208views more  BMCBI 2010»
13 years 6 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
GECCO
2003
Springer
114views Optimization» more  GECCO 2003»
13 years 11 months ago
Learning the Ideal Evaluation Function
Abstract. Designing an adequate fitness function requiressubstantial knowledge of a problem and of features that indicate progress towards a solution. Coevolution takes the human ...
Edwin D. de Jong, Jordan B. Pollack
ICASSP
2010
IEEE
13 years 6 months ago
Speech modeling based on committee-based active learning
We propose a committee-based active learning method for large vocabulary continuous speech recognition. In this approach, multiple recognizers are prepared beforehand, and the rec...
Yuzu Hamanaka, Koichi Shinoda, Sadaoki Furui, Tada...
PAAPP
2010
131views more  PAAPP 2010»
13 years 4 months ago
Accurately measuring overhead, communication time and progression of blocking and nonblocking collective operations at massive s
Accurate, reproducible and comparable measurement of the overheads, communication times and progression behavior of blocking and nonblocking collective operations is a complicated...
Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
ICSM
2009
IEEE
14 years 19 days ago
Measuring the progress of projects using the time dependence of code changes
Tracking the progress of a project is often done through imprecise manually gathered information, like progress reports, or through automatic metrics such as Lines Of Code (LOC). ...
Omar Alam, Bram Adams, Ahmed E. Hassan