Taxonomy Learning - Factoring the Structure of a Taxonomy into a Semantic Classification Decision.
Viktor PekarSteffen StaabPublished in: COLING (2002)
Keyphrases
- supervised learning
- hierarchical structure
- pattern recognition
- incremental learning
- learning algorithm
- decision problems
- classification accuracy
- active learning
- decision rules
- support vector machine svm
- unsupervised learning
- knowledge acquisition
- text classification
- learning process
- feature vectors
- dictionary learning
- feature extraction
- data sets
- decision making
- machine learning
- multi category
- learning problems
- discriminative learning
- semantic web
- model selection
- image classification
- reinforcement learning
- face recognition
- metadata