Mathematical Foundations of Learning Theory
Machine Learning relates to many different domains: data analysis, data processing, information retrieval, statistics, knowledge discovery, reasoning under uncertainty...
But the main distinguishing feature of the learning problem is that it requires a form of reasoning which is non-deductive: it requires induction, transduction, abduction or generalization.
As a result, the learning problem has its roots in the following theories
- Logic: theory of induction
- Decision Theory
- Probability Theory
- Statistics
- Estimation Theory
- Approximation Theory
- Game Theory
- Inductive Inference
- Computation Theory
Comments (0)
You don't have permission to comment on this page.