Support Vector Machines and Kernels for Computational Biology.
Asa Ben-HurCheng Soon OngSören SonnenburgBernhard SchölkopfGunnar RätschPublished in: PLoS Comput. Biol. (2008)
Keyphrases
- computational biology
- support vector
- large margin classifiers
- learning machines
- kernel function
- string kernels
- protein sequences
- machine learning
- support vector machine
- molecular biology
- kernel methods
- multi class
- natural language processing
- multiple kernel learning
- logistic regression
- loss function
- maximum margin
- sequence analysis
- generalization bounds
- generalization ability
- classification accuracy
- biological sequences
- polynomial kernels
- protein classification
- support vector regression
- binary classification
- kernel machines
- rbf kernel
- svm classifier
- kernel parameters
- multiple sequence alignment
- soft margin
- radial basis function
- feature space
- data sets
- artificial intelligence
- model selection
- linear combination
- protein structure prediction
- learning problems
- svm classification
- kernel learning
- systems biology