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ICML
2007
IEEE
14 years 10 months ago
Boosting for transfer learning
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu
MOBISYS
2007
ACM
14 years 8 months ago
Context-for-wireless: context-sensitive energy-efficient wireless data transfer
Ubiquitous connectivity on mobile devices will enable numerous new applications in healthcare and multimedia. We set out to check how close we are towards ubiquitous connectivity ...
Ahmad Rahmati, Lin Zhong
SIGMETRICS
2009
ACM
157views Hardware» more  SIGMETRICS 2009»
14 years 3 months ago
Delay tolerant bulk data transfers on the internet
Many emerging scientific and industrial applications require transferring multiple Tbytes of data on a daily basis. Examples include pushing scientific data from particle accele...
Nikolaos Laoutaris, Georgios Smaragdakis, Pablo Ro...
RECOMB
2012
Springer
11 years 11 months ago
Recovering the Tree-Like Trend of Evolution Despite Extensive Lateral Genetic Transfer: A Probabilistic Analysis
Abstract. Lateral gene transfer (LGT) is a common mechanism of nonvertical evolution where genetic material is transferred between two more or less distantly related organisms. It ...
Sebastien Roch, Sagi Snir
COCO
2006
Springer
100views Algorithms» more  COCO 2006»
14 years 24 days ago
How to Get More Mileage from Randomness Extractors
Let C be a class of distributions over {0, 1}n . A deterministic randomness extractor for C is a function E : {0, 1}n {0, 1}m such that for any X in C the distribution E(X) is sta...
Ronen Shaltiel