Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data.
Bram VanschoenwinkelBernard ManderickPublished in: Deterministic and Statistical Methods in Machine Learning (2004)
Keyphrases
- kernel function
- symbolic data
- support vector
- machine learning
- kernel methods
- support vector machine
- feature space
- numerical data
- symbolic data analysis
- input space
- support vectors
- complex data
- feature selection
- kernel matrix
- learning problems
- svm classification
- svm classifier
- interval data
- string kernels
- reproducing kernel hilbert space
- learning machines
- support vector regression
- data mining
- data sets
- hyperplane
- generalization ability
- high dimensional
- computer vision
- data analysis
- feature vectors
- feature set
- supervised learning
- pattern recognition
- principal component analysis
- text classification
- maximum margin
- learning tasks
- decision trees
- gaussian kernels
- polynomial kernels
- classification accuracy
- machine learning algorithms
- training examples