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» Predicting relative performance of classifiers from samples
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CSDA
2007
92views more  CSDA 2007»
13 years 7 months ago
On the estimation of the linear relation when the error variances are known
The problem of consistent estimation in measurement error models in a linear relation with not necessarily normally distributed measurement errors is considered. Three possible es...
H. Schneeweiss, H. Shalabh
BMCBI
2007
132views more  BMCBI 2007»
13 years 7 months ago
TPRpred: a tool for prediction of TPR-, PPR- and SEL1-like repeats from protein sequences
Background: Solenoid repeat proteins of the Tetratrico Peptide Repeat (TPR) family are involved as scaffolds in a broad range of protein-protein interactions. Several resources ar...
Manjunatha R. Karpenahalli, Andrei N. Lupas, Johan...
AIPS
2009
13 years 8 months ago
Exploiting N-Gram Analysis to Predict Operator Sequences
N-gram analysis provides a means of probabilistically predicting the next item in a sequence. Due originally to Shannon, it has proven an effective technique for word prediction i...
Christian J. Muise, Sheila A. McIlraith, Jorge A. ...
BMCBI
2010
147views more  BMCBI 2010»
13 years 7 months ago
Indirect two-sided relative ranking: a robust similarity measure for gene expression data
Background: There is a large amount of gene expression data that exists in the public domain. This data has been generated under a variety of experimental conditions. Unfortunatel...
Louis Licamele, Lise Getoor
ESWA
2006
105views more  ESWA 2006»
13 years 7 months ago
Predicting box-office success of motion pictures with neural networks
Predicting box-office receipts of a particular motion picture has intrigued many scholars and industry leaders as a difficult and challenging problem. In this study, the use of ne...
Ramesh Sharda, Dursun Delen