Hybrid SVM Kernels for Protein Secondary Structure Prediction.
Gulsah AltunHae-Jin HuDumitru BrinzaRobert W. HarrisonAlexander ZelikovskyYi PanPublished in: GrC (2006)
Keyphrases
- protein secondary structure prediction
- support vector
- kernel function
- svm classification
- protein secondary structure
- kernel methods
- machine learning
- support vector machine svm
- support vector machine
- multiple kernel learning
- feature space
- multiple kernel
- rbf kernel
- polynomial kernels
- kernel parameters
- gaussian kernel
- feature selection
- support vectors
- svm classifier
- kernel svms
- training set
- training data
- linear svm
- radial basis function
- feature vectors
- kernel machines
- feature extraction
- positive definite
- gaussian kernels
- standard svm
- support vector machines for classification
- histogram intersection kernel
- tree kernels
- ls svm
- hyperplane
- logistic regression
- loss function
- linear combination
- image classification
- multi class
- knn