Fundamental Mechanisms in Machine Learning and Inductive Inference: Part 2.
Alan W. BiermannPublished in: Advanced Topics in Artificial Intelligence (1987)
Keyphrases
- inductive inference
- learning paradigms
- machine learning
- transductive inference
- recursive functions
- languages from positive data
- intrinsic complexity
- grammatical inference
- kolmogorov complexity
- vc dimension
- pattern languages
- learning from positive data
- hypothesis spaces
- machine learning methods
- algebraic structures
- context free
- active learning
- real valued functions
- learning algorithm
- recursively enumerable
- closed sets
- case based learning
- inductive logic programming
- learning tasks
- computational intelligence
- support vector machine
- decision trees
- bayes net
- complexity measures
- machine learning algorithms
- upper bound
- knowledge representation
- reinforcement learning
- mind change complexity