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DAC
2004
ACM
14 years 10 months ago
Automated energy/performance macromodeling of embedded software
Efficient energy and performance estimation of embedded software is a critical part of any system-level design flow. Macromodeling based estimation is an attempt to speed up estim...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi, ...
BMCBI
2007
160views more  BMCBI 2007»
13 years 9 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
JDCTA
2010
104views more  JDCTA 2010»
13 years 3 months ago
Mean Shifts Identification Model in Bivariate Process Based on LS-SVM Pattern Recognizer
This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify a...
Zhi-Qiang Cheng, Yi-Zhong Ma, Jing Bu
ATAL
2007
Springer
14 years 3 months ago
Agent-based model of impact of socioeconomic stressors: a dynamic network perspective
We have developed an agent-based simulation model based on a real case study in the Sekhukhune district of the Limpopo province in South Africa. The work reported here is part of ...
Shah Jamal Alam, Ruth Meyer, Emma Norling
WSC
2007
13 years 11 months ago
Low bias integrated path estimators
We consider the problem of estimating the time-average variance constant for a stationary process. A previous paper described an approach based on multiple integrations of the sim...
James M. Calvin