Substitution matrix based kernel functions for protein secondary structure prediction.
Bram VanschoenwinkelBernard ManderickPublished in: ICMLA (2004)
Keyphrases
- kernel function
- protein secondary structure prediction
- positive definite
- positive semidefinite
- kernel matrices
- protein secondary structure
- support vector
- kernel methods
- support vector machine
- feature space
- positive semi definite
- dot product
- input space
- machine learning
- kernel matrix
- high dimensional
- support vector regression
- gram matrix
- support vectors
- high dimensional feature space
- svm classifier
- gaussian kernels
- polynomial kernels
- reproducing kernel hilbert space
- kernel learning
- svm classification
- low rank
- multiple kernel learning
- missing data
- data mining