VERSION SPACES: A CANDIDATE ELIMINATION APPROACH TO RULE LEARNING
F.Arockiya leticia leticia
Paper Contents
Abstract
The version space is progressively constructed by the candidate elimination method given a hypothesis space H and a set of instances E. One by one, the examples are added; by eliminating the assumptions that contradict the example, each example may reduce the version space. This is accomplished by the candidate elimination procedure, which updates the general and particular boundaries with every new case.
Copyright
Copyright © 2024 F.Arockiya leticia. This is an open access article distributed under the Creative Commons Attribution License.