Prediction of peptide bonding affinity: kernel methods for nonlinear modeling
Charles BergeronTheresa HepburnC. Matthew SundlingMichael P. KreinWilliam P. KattNagamani SukumarCurt M. BrenemanKristin P. BennettPublished in: CoRR (2011)
Keyphrases
- kernel methods
- kernel pca
- protein classification
- high dimensional feature space
- kernel function
- learning problems
- support vector
- machine learning
- support vector machine
- feature space
- kernel matrices
- kernel principal component analysis
- kernel matrix
- reproducing kernel hilbert space
- kernel ridge regression
- kernel fisher discriminant analysis
- prediction model
- multiple kernel
- pairwise
- face recognition
- training data