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BMCBI
2006
130views more  BMCBI 2006»
13 years 8 months ago
MicroTar: predicting microRNA targets from RNA duplexes
Background: The accurate prediction of a comprehensive set of messenger RNAs (targets) regulated by animal microRNAs (miRNAs) remains an open problem. In particular, the predictio...
Rahul Thadani, Martti T. Tammi
CLOUD
2010
ACM
14 years 1 months ago
Fluxo: a system for internet service programming by non-expert developers
Over the last 10–15 years, our industry has developed and deployed many large-scale Internet services, from e-commerce to social networking sites, all facing common challenges i...
Emre Kiciman, V. Benjamin Livshits, Madanlal Musuv...
DCC
2009
IEEE
14 years 9 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
PRL
2007
138views more  PRL 2007»
13 years 8 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
GECCO
2009
Springer
132views Optimization» more  GECCO 2009»
14 years 3 months ago
Bringing evolutionary computation to industrial applications with guide
Evolutionary Computation is an exciting research field with the power to assist researchers in the task of solving hard optimization problems (i.e., problems where the exploitabl...
Luís Da Costa, Marc Schoenauer