Work

Investigation of Generalised Nearest Neighbour in Machine Learning

Year: 2004

Type: article

Abstract: Instance-based learning is a machine learning that classifies new examples by comparing them to previously seen examples. Non Nested Generalised Exemplars is one such learning algorithm which combines generalisation to provide support for large and small disjuncts. This paper looks at improving this learners tolerance to noise, introducing several possible techniques. Problems were encounted in the implementation of the extensions, preventing the study of the effect of the extensions.

Source: University of Canterbury Research Repository (University of Canterbury)

DOI: 10.26021/1320

Author: MITCHELL, James

Language: English

Topic: Machine Learning and Data Classification

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W139090106

FWCI:

Cites: 5

Cited by:

Related to: 20