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KDD
1995
ACM
95views Data Mining» more  KDD 1995»
14 years 18 days ago
Limits on Learning Machine Accuracy Imposed by Data Quality
Random errors and insufficiencies in databases limit the performance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the ...
Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chian...
BMCBI
2007
150views more  BMCBI 2007»
13 years 9 months ago
Refining intra-protein contact prediction by graph analysis
Background: Accurate prediction of intra-protein residue contacts from sequence information will allow the prediction of protein structures. Basic predictions of such specific con...
Milana Frenkel-Morgenstern, Rachel Magid, Eran Eya...
BMCBI
2008
80views more  BMCBI 2008»
13 years 9 months ago
Computational evaluation of TIS annotation for prokaryotic genomes
Background: Accurate annotation of translation initiation sites (TISs) is essential for understanding the translation initiation mechanism. However, the reliability of TIS annotat...
Gang-Qing Hu, Xiaobin Zheng, Li-Ning Ju, Huaiqiu Z...
MSR
2010
ACM
14 years 2 months ago
An extensive comparison of bug prediction approaches
Abstract—Reliably predicting software defects is one of software engineering’s holy grails. Researchers have devised and implemented a plethora of bug prediction approaches var...
Marco D'Ambros, Michele Lanza, Romain Robbes
APCSAC
2007
IEEE
14 years 3 months ago
Unbiased Branches: An Open Problem
The majority of currently available dynamic branch predictors base their prediction accuracy on the previous k branch outcomes. Such predictors sustain high prediction accuracy but...
Arpad Gellert, Adrian Florea, Maria Vintan, Colin ...