Learning in Case-Based Classification Algorithms.
Christoph GlobigStefan WessPublished in: GOSLER Final Report (1995)
Keyphrases
- learning algorithm
- incremental learning
- noise tolerant
- computationally efficient
- classification accuracy
- classification algorithm
- learning process
- benchmark datasets
- supervised learning
- training data
- learning tasks
- significant improvement
- data mining and machine learning
- unsupervised learning
- kernel learning
- learning phase
- nearest neighbour
- bayesian methods
- learning models
- discriminative learning
- learning systems
- optimization problems
- online learning
- machine learning
- feature selection
- decision trees
- support vector
- computational complexity
- prior knowledge
- case based reasoning
- data sets
- decision rules
- evolutionary algorithm
- feature vectors
- semi supervised
- pattern recognition
- data structure
- reinforcement learning
- training samples
- knowledge acquisition