Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs.
Hisashi KashimaYuta TsuboiPublished in: ICML (2004)
Keyphrases
- learning algorithm
- active learning
- tree structures
- unsupervised learning
- graph kernels
- decision stumps
- learning problems
- decision tree learning
- training data
- phylogenetic trees
- reachability queries
- kernel machines
- machine learning algorithms
- decision trees
- hidden markov models
- semi supervised
- kernel methods
- image segmentation
- graph theory
- machine learning
- graph theoretic
- support vector machine
- tree structure
- labeled trees
- graph matching
- support vector
- feature extraction
- tree structured data
- training samples
- sequential patterns
- learning process
- attributed graphs
- supervised learning