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» On the Error Parameter of Dispersers
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BMCBI
2007
160views more  BMCBI 2007»
14 years 12 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
BMCBI
2007
122views more  BMCBI 2007»
14 years 12 months ago
TAP score: torsion angle propensity normalization applied to local protein structure evaluation
Background: Experimentally determined protein structures may contain errors and require validation. Conformational criteria based on the Ramachandran plot are mainly used to disti...
Silvio C. E. Tosatto, Roberto Battistutta
FUIN
2006
98views more  FUIN 2006»
14 years 11 months ago
On-line Approximate String Matching in Natural Language
We consider approximate pattern matching in natural language text. We use the words of the text as the alphabet, instead of the characters as in traditional string matching approac...
Kimmo Fredriksson
JC
2008
128views more  JC 2008»
14 years 11 months ago
Lattice rule algorithms for multivariate approximation in the average case setting
We study multivariate approximation for continuous functions in the average case setting. The space of d variate continuous functions is equipped with the zero mean Gaussian measu...
Frances Y. Kuo, Ian H. Sloan, Henryk Wozniakowski
NN
2008
Springer
143views Neural Networks» more  NN 2008»
14 years 11 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens