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» On Computing Functions with Uncertainty
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 7 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
ICFP
2008
ACM
16 years 7 months ago
Compiling self-adjusting programs with continuations
Self-adjusting programs respond automatically and efficiently to input changes by tracking the dynamic data dependences of the computation and incrementally updating the output as...
Ruy Ley-Wild, Matthew Fluet, Umut A. Acar
ASPLOS
2010
ACM
16 years 1 months ago
COMPASS: a programmable data prefetcher using idle GPU shaders
A traditional fixed-function graphics accelerator has evolved into a programmable general-purpose graphics processing unit over the last few years. These powerful computing cores...
Dong Hyuk Woo, Hsien-Hsin S. Lee
BSN
2006
IEEE
131views Sensor Networks» more  BSN 2006»
16 years 1 months ago
Elaborating Sensor Data using Temporal and Spatial Commonsense Reasoning
Ubiquitous computing has established a vision of computation where computers are so deeply integrated into our lives that they become both invisible and everywhere. In order to ha...
Bo Morgan, Push Singh
HPDC
2006
IEEE
16 years 1 months ago
Materializing Highly Available Grids
Grids are becoming a mission-critical component in research and industry. The services they provide are thus required to be highly available, contributing to the vision of the Gri...
Mark Silberstein, Gabriel Kliot, Artyom Sharov, As...
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