Test environment running 7.6.6

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

A formal analysis of machine learning systems for knowledge acquisition

Loading...
Thumbnail Image

Date

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Machine learning techniques can be of great value for automating certain aspects of knowledge acquisition. Given the potential of machine learning for knowledge acquisition, we have begun a systematic investigation of how one might map the functions of knowledge-based systems onto those machine learning systems that provide the required knowledge. The goal of our current research is to provide a general characterization of machine learning systems and their respective application domains.

Description

Keywords

Citation

Source

International Journal of Man-Machine Studies

Book Title

Entity type

Access Statement

License Rights

Restricted until