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» Predicting relative performance of classifiers from samples
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JPDC
2006
111views more  JPDC 2006»
13 years 8 months ago
Designing irregular parallel algorithms with mutual exclusion and lock-free protocols
Irregular parallel algorithms pose a significant challenge for achieving high performance because of the difficulty predicting memory access patterns or execution paths. Within an...
Guojing Cong, David A. Bader
BMCBI
2006
119views more  BMCBI 2006»
13 years 9 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
BMCBI
2006
112views more  BMCBI 2006»
13 years 9 months ago
Assessment of the relationship between pre-chip and post-chip quality measures for Affymetrix GeneChip expression data
Background: Gene expression microarray experiments are expensive to conduct and guidelines for acceptable quality control at intermediate steps before and after the samples are hy...
Lesley Jones, Darlene R. Goldstein, Gareth P. Hugh...
SIGSOFT
2005
ACM
14 years 9 months ago
Applying classification techniques to remotely-collected program execution data
There is an increasing interest in techniques that support measurement and analysis of fielded software systems. One of the main goals of these techniques is to better understand ...
Murali Haran, Alan F. Karr, Alessandro Orso, Adam ...
CIDM
2009
IEEE
14 years 3 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...