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IPPS
2008
IEEE
16 years 27 days ago
Adaptive Locality-Effective Kernel Machine for protein phosphorylation site prediction
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...
JMLR
2010
107views more  JMLR 2010»
15 years 1 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
ICS
2011
Tsinghua U.
14 years 10 months ago
Predictive coordination of multiple on-chip resources for chip multiprocessors
Efficient on-chip resource management is crucial for Chip Multiprocessors (CMP) to achieve high resource utilization and enforce system-level performance objectives. Existing mul...
Jian Chen, Lizy Kurian John
SLIP
2003
ACM
15 years 11 months ago
Fast estimation of the partitioning rent characteristic using a recursive partitioning model
In the past, a priori interconnect prediction, based on Rent’s rule, has been applied mainly for technology evaluation and roadmap applications. These applications do not requir...
Joni Dambre, Dirk Stroobandt, Jan Van Campenhout
ECRTS
2005
IEEE
16 years 3 days ago
A WCET-Oriented Static Branch Prediction Scheme for Real Time Systems
Branch prediction mechanisms are becoming commonplace within current generation processors. Dynamic branch predictors, albeit able to predict branches quite accurately in average,...
François Bodin, Isabelle Puaut