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BMCBI
2004
112views more  BMCBI 2004»
13 years 9 months ago
Predicting co-complexed protein pairs using genomic and proteomic data integration
Background: Identifying all protein-protein interactions in an organism is a major objective of proteomics. A related goal is to know which protein pairs are present in the same p...
Lan V. Zhang, Sharyl L. Wong, Oliver D. King, Fred...
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
14 years 4 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
IEEEPACT
1999
IEEE
14 years 2 months ago
In Search of Speculative Thread-Level Parallelism
This paper focuses on the problem of how to find and effectively exploit speculative thread-level parallelism. Our studies show that speculating only on loops does not yield suffi...
Jeffrey T. Oplinger, David L. Heine, Monica S. Lam
ASPLOS
1996
ACM
14 years 2 months ago
Value Locality and Load Value Prediction
Mikko H. Lipasti, Christopher B. Wilkerson, John P...
BMCBI
2010
110views more  BMCBI 2010»
13 years 10 months ago
Missing value imputation for epistatic MAPs
Background: Epistatic miniarray profiling (E-MAPs) is a high-throughput approach capable of quantifying aggravating or alleviating genetic interactions between gene pairs. The dat...
Colm Ryan, Derek Greene, Gerard Cagney, Padraig Cu...