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IPSN
2004
Springer
13 years 10 months 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»
13 years 11 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 5 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