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» A numerical method for mass spectral data analysis
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INFORMATICALT
2011
89views more  INFORMATICALT 2011»
13 years 2 months ago
Large-Scale Data Analysis Using Heuristic Methods
Estimation and modelling problems as they arise in many data analysis areas often turn out to be unstable and/or intractable by standard numerical methods. Such problems frequently...
Gintautas Dzemyda, Leonidas Sakalauskas
BMCBI
2010
161views more  BMCBI 2010»
13 years 7 months ago
BPDA - A Bayesian peptide detection algorithm for mass spectrometry
Background: Mass spectrometry (MS) is an essential analytical tool in proteomics. Many existing algorithms for peptide detection are based on isotope template matching and usually...
Youting Sun, Jianqiu Zhang, Ulisses Braga-Neto, Ed...
MOC
2011
13 years 2 months ago
A two-level enriched finite element method for a mixed problem
The simplest pair of spaces P1/P0 is made inf-sup stable for the mixed form of the Darcy equation. The key ingredient is enhance the finite element spaces inside a PetrovGalerkin ...
Alejandro Allendes, Gabriel R. Barrenechea, Erwin ...
NIPS
2008
13 years 9 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
11 years 10 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...