Peptidase Detection and Classification Using Enhanced Kernel Methods with Feature Selection.
Lionel MorgadoCarlos PereiraPaula VeríssimoAntónio DouradoPublished in: PACBB (2011)
Keyphrases
- kernel methods
- feature selection
- support vector
- feature space
- support vector machine
- machine learning
- classification accuracy
- kernel learning
- kernel function
- multiple kernel learning
- feature extraction
- kernel matrix
- feature set
- kernel parameters
- feature selection algorithms
- text classification
- learning problems
- learning tasks
- feature vectors
- classification models
- image classification
- support vector machine svm
- model selection
- high dimensional
- tree kernels
- decision trees
- kernel matrices
- dimensionality reduction
- supervised learning
- multiple kernel
- multi class
- classification method
- machine learning algorithms
- text categorization
- maximum margin
- high dimensional feature space
- svm classifier
- kernel trick
- training samples
- kernel ridge regression
- kernel fisher discriminant analysis