About this document
Bayes Theorem in Concept Learning by mohith is a document available to read on EtoBox.
Concept learning involves inducing general functions from specific training examples. It involves acquiring the definition of a general category from sample positive and negative examples. Concept learning can be viewed as searching a predefined hypothesis space for the hypothesis that best fits the training examples. The hypothesis space has a general-to-specific ordering and the search can be efficiently organized by exploiting the natural structure of the hypothesis space.
- Author
- mohith
- Language
- EN