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BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Class prediction for high-dimensional class-imbalanced data
Background: The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the varia...
Rok Blagus, Lara Lusa
BMCBI
2006
151views more  BMCBI 2006»
13 years 7 months ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman
HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
14 years 1 months ago
New Probabilistic Method for Estimation of Equipment Failures and Development of Replacement Strategies
When large amount of statistical information about power system component failure rate is available, statistical parametric models can be developed for predictive maintenance. Oft...
Miroslav Begovic, Petar M. Djuric, Joshua Perkel, ...
ASPLOS
2010
ACM
13 years 11 months ago
Micro-pages: increasing DRAM efficiency with locality-aware data placement
Power consumption and DRAM latencies are serious concerns in modern chip-multiprocessor (CMP or multi-core) based compute systems. The management of the DRAM row buffer can signif...
Kshitij Sudan, Niladrish Chatterjee, David Nellans...
DATAMINE
2006
89views more  DATAMINE 2006»
13 years 7 months ago
Scalable Clustering Algorithms with Balancing Constraints
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
Arindam Banerjee, Joydeep Ghosh