Predicting Membrane Protein Types with Dimensionality Reduction and Kernel Method.
Li-Peng WangZhan-Ting YuanXuhui ChenZhi-Fang ZhouPublished in: FSKD (5) (2009)
Keyphrases
- kernel methods
- dimensionality reduction
- kernel pca
- feature space
- kernel function
- support vector machine
- amino acid sequences
- kernel matrix
- learning tasks
- machine learning
- low dimensional
- support vector
- high dimensional
- high dimensionality
- protein sequences
- protein structure
- amino acids
- principal component analysis
- feature selection
- reproducing kernel hilbert space
- reproducing kernel
- rademacher complexity
- data mining
- high dimensional feature space
- learning algorithm
- principal components
- linear discriminant analysis
- pattern recognition
- high dimensional data
- special case