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» Prediction error methods for limit cycle data
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BMCBI
2004
90views more  BMCBI 2004»
13 years 7 months ago
Haplotype frequency estimation error analysis in the presence of missing genotype data
Background: Increasingly researchers are turning to the use of haplotype analysis as a tool in population studies, the investigation of linkage disequilibrium, and candidate gene ...
Enda D. Kelly, Fabian Sievers, Ross McManus
RECOMB
2007
Springer
14 years 7 months ago
Improving Inversion Median Computation Using Commuting Reversals and Cycle Information
In the past decade, genome rearrangements have attracted increasing attention from both biologists and computer scientists as a new type of data for phylogenetic analysis. Methods ...
William Arndt, Jijun Tang
ESANN
2006
13 years 8 months ago
Using sampling methods to improve binding site predictions
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling with th...
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhors...
ICML
1994
IEEE
13 years 11 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
DFT
2006
IEEE
92views VLSI» more  DFT 2006»
14 years 1 months ago
Low-Cost Hardening of Image Processing Applications Against Soft Errors
Image processing systems are increasingly used in safetycritical applications, and their hardening against soft errors becomes an issue. We propose a methodology to identify soft ...
Ilia Polian, Bernd Becker, Masato Nakasato, Satosh...