Dimension Reduction via Unsupervised Learning Yields Significant Computational Improvements for Support Vector Machine Based Protein Family Classification. [Citation Graph (, )][DBLP]
Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics. [Citation Graph (, )][DBLP]
A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics. [Citation Graph (, )][DBLP]
Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure. [Citation Graph (, )][DBLP]
Physicochemical property distributions for accurate and rapid pairwise protein homology detection. [Citation Graph (, )][DBLP]
A feature vector integration approach for a generalized support vector machine pairwise homology algorithm. [Citation Graph (, )][DBLP]
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