Fundamental Mechanisms in Machine Learning and Inductive Inference.
Alan W. BiermannPublished in: Advanced Course: Fundamentals of Artificial Intelligence (1985)
Keyphrases
- inductive inference
- machine learning
- learning paradigms
- transductive inference
- recursive functions
- grammatical inference
- intrinsic complexity
- languages from positive data
- kolmogorov complexity
- machine learning methods
- vc dimension
- case based learning
- learning from positive data
- algebraic structures
- hypothesis spaces
- learning algorithm
- learning tasks
- closed sets
- model selection
- supervised learning
- context free
- pattern languages
- active learning
- feature selection
- data mining
- training examples
- semi supervised learning
- logic programs
- text mining
- transfer learning
- support vector machine
- decision trees