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» Dynamic feature selection for hardware prediction
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JSA
2006
97views more  JSA 2006»
13 years 4 months ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...
BMCBI
2004
167views more  BMCBI 2004»
13 years 4 months ago
Feature selection for splice site prediction: A new method using EDA-based feature ranking
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rou...
CGO
2003
IEEE
13 years 10 months ago
Dynamic Trace Selection Using Performance Monitoring Hardware Sampling
Optimizing programs at run-time provides opportunities to apply aggressive optimizations to programs based on information that was not available at compile time. At run time, prog...
Howard Chen, Wei-Chung Hsu, Dong-yuan Chen
CBMS
2008
IEEE
13 years 6 months ago
Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance
In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may ...
Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal
MICRO
2002
IEEE
117views Hardware» more  MICRO 2002»
13 years 4 months ago
Drowsy instruction caches: leakage power reduction using dynamic voltage scaling and cache sub-bank prediction
On-chip caches represent a sizeable fraction of the total power consumption of microprocessors. Although large caches can significantly improve performance, they have the potentia...
Nam Sung Kim, Krisztián Flautner, David Bla...