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» RANSAC-SVM for large-scale datasets
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BMCBI
2007
265views more  BMCBI 2007»
13 years 9 months ago
Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
Tobias Wittkop, Jan Baumbach, Francisco P. Lobo, S...
BMCBI
2011
13 years 21 days ago
Proteinortho: Detection of (Co-)Orthologs in Large-Scale Analysis
Background: Orthology analysis is an important part of data analysis in many areas of bioinformatics such as comparative genomics and molecular phylogenetics. The ever-increasing ...
Marcus Lechner, Sven Findeiß, Lydia Steiner,...
GRID
2003
Springer
14 years 2 months ago
Applying Database Support for Large Scale Data Driven Science in Distributed Environments
There is a rapidly growing set of applications, referred to as data driven applications, in which analysis of large amounts of data drives the next steps taken by the scientist, e...
Sivaramakrishnan Narayanan, Ümit V. Ça...
CORR
2008
Springer
142views Education» more  CORR 2008»
13 years 9 months ago
A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
Danny Bickson, Elad Yom-Tov, Danny Dolev
ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
13 years 6 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...