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» Estimation in covariate-adjusted regression
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IFE
2010
161views more  IFE 2010»
14 years 9 months ago
Adaptive estimation and prediction of power and performance in high performance computing
Power consumption has become an increasingly important constraint in high-performancecomputing systems, shifting the focus from peak performance towards improving power efficiency...
Reza Zamani, Ahmad Afsahi
DAC
2004
ACM
16 years 9 days 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
2006
125views more  BMCBI 2006»
14 years 11 months ago
Evaluating different methods of microarray data normalization
Background: With the development of DNA hybridization microarray technologies, nowadays it is possible to simultaneously assess the expression levels of thousands to tens of thous...
André Fujita, João Ricardo Sato, Leo...
TIT
2002
96views more  TIT 2002»
14 years 11 months ago
Wavelet-based estimators of scaling behavior
Various wavelet-based estimators of self-similarity or long-range dependence scaling exponent are studied extensively. These estimators mainly include the (bi)orthogonal wavelet e...
Benjamin Audit, E. Bacry, J.-F. Muzy, Alain Arneod...
NIPS
1998
15 years 20 days ago
Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm
We present the CEM (Conditional Expectation Maximization) algorithm as an extension of the EM (Expectation Maximization) algorithm to conditional density estimation under missing ...
Tony Jebara, Alex Pentland