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ESANN
2006
13 years 8 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
BMCBI
2008
134views more  BMCBI 2008»
13 years 7 months ago
Prediction of protein-protein binding site by using core interface residue and support vector machine
Background: The prediction of protein-protein binding site can provide structural annotation to the protein interaction data from proteomics studies. This is very important for th...
Nan Li, Zhonghua Sun, Fan Jiang
BMCBI
2006
101views more  BMCBI 2006»
13 years 7 months ago
Predicting residue contacts using pragmatic correlated mutations method: reducing the false positives
Background: Predicting residues' contacts using primary amino acid sequence alone is an important task that can guide 3D structure modeling and can verify the quality of the ...
Petras J. Kundrotas, Emil Alexov
IGPL
2011
12 years 11 months ago
Interpolation and FEP for logics of residuated algebras
A residuated algebra (RA) is a generalization of a residuated groupoid; instead of one basic binary operation · with residual operations \, /, it admits finitely many basic oper...
Wojciech Buszkowski
NLE
2010
112views more  NLE 2010»
13 years 5 months ago
A non-negative tensor factorization model for selectional preference induction
Distributional similarity methods have proven to be a valuable tool for the induction of semantic similarity. Up till now, most algorithms use two-way cooccurrence data to compute...
Tim Van de Cruys