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CF
2010
ACM
15 years 3 months ago
Interval-based models for run-time DVFS orchestration in superscalar processors
We develop two simple interval-based models for dynamic superscalar processors. These models allow us to: i) predict with great accuracy performance and power consumption under va...
Georgios Keramidas, Vasileios Spiliopoulos, Stefan...
BMCBI
2006
146views more  BMCBI 2006»
14 years 10 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara
FGCS
2006
74views more  FGCS 2006»
14 years 10 months ago
A performance model of non-deterministic particle transport on large-scale systems
In this work we present a predictive analytical model that encompasses the performance and scaling characteristics of a nondeterministic particle transport application, MCNP (Mont...
Mark M. Mathis, Darren J. Kerbyson, Adolfy Hoisie
BMCBI
2005
118views more  BMCBI 2005»
14 years 10 months ago
Variation in structural location and amino acid conservation of functional sites in protein domain families
Background: The functional sites of a protein present important information for determining its cellular function and are fundamental in drug design. Accordingly, accurate methods...
Birgit Pils, Richard R. Copley, Jörg Schultz
ICML
2006
IEEE
15 years 10 months ago
Online decoding of Markov models under latency constraints
The Viterbi algorithm is an efficient and optimal method for decoding linear-chain Markov Models. However, the entire input sequence must be observed before the labels for any tim...
Mukund Narasimhan, Paul A. Viola, Michael Shilman