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BMCBI
2005
116views more  BMCBI 2005»
13 years 10 months ago
Can Zipf's law be adapted to normalize microarrays?
Background: Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for ...
Timothy Lu, Christine M. Costello, Peter J. P. Cro...
INTERSPEECH
2010
13 years 5 months ago
Improved neural network based language modelling and adaptation
Neural network language models (NNLM) have become an increasingly popular choice for large vocabulary continuous speech recognition (LVCSR) tasks, due to their inherent generalisa...
Junho Park, Xunying Liu, Mark J. F. Gales, Philip ...
OOPSLA
2007
Springer
14 years 4 months ago
Recursive adaptive computations using perobject visitors
Adaptive Programming allows developers to write structureshy programs. However, in Adaptive Programming, recursive computations are known to require a good deal of boiler plate co...
Ahmed Abdelmeged, Karl J. Lieberherr
INFOCOM
2002
IEEE
14 years 3 months ago
Channel Sharing by Rate Adaptive Streaming Applications
There are various techniques for adapting the transmission rate of an application while maintaining the perceived quality at the receiver at acceptable levels. Shared channel syst...
Leonidas Georgiadis, Nikos Argiriou
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
14 years 2 months ago
Adaptive evolution: an efficient heuristic for global optimization
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
Francisco Viveros Jiménez, Efrén Mez...