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IPSN
2004
Springer
14 years 25 days ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
MICRO
2008
IEEE
138views Hardware» more  MICRO 2008»
14 years 1 months ago
Hybrid analytical modeling of pending cache hits, data prefetching, and MSHRs
As the number of transistors integrated on a chip continues to increase, a growing challenge is accurately modeling performance in the early stages of processor design. Analytical...
Xi E. Chen, Tor M. Aamodt
BMCBI
2007
194views more  BMCBI 2007»
13 years 7 months ago
A meta-data based method for DNA microarray imputation
Background: DNA microarray experiments are conducted in logical sets, such as time course profiling after a treatment is applied to the samples, or comparisons of the samples unde...
Rebecka Jörnsten, Ming Ouyang, Hui-Yu Wang