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Machine learning systems

Journal Article:

Abstract

With the dramatic rise of expert systems has come a renewed interest in the fuel that drives them-knowledge. For it is specialist knowledge which gives expert systems their power. But extracting knowledge from human experts in symbolic form has proved arduous and labour-intensive. So the idea of machine learning is enjoying a renaissance. Machine learning is any automatic improvement in the performance of a computer system over time, as a result of experience. Thus a learning algorithm seeks to do one or more of the following: cover a wider range of problems, deliver more accurate solutions, obtain answers more cheaply, and simplify codified knowledge. 6 references.
Authors:
Publication Date:
May 01, 1984
Product Type:
Journal Article
Reference Number:
EDB-85-179269
Resource Relation:
Journal Name: ASLIB Proc.; (United Kingdom); Journal Volume: 5
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ARTIFICIAL INTELLIGENCE; LEARNING; ALGORITHMS; COMPUTERS; EXPERT SYSTEMS; KNOWLEDGE BASE; MATHEMATICAL LOGIC; 990200* - Mathematics & Computers
OSTI ID:
5085296
Research Organizations:
Polytechnical of North London, England
Country of Origin:
United Kingdom
Language:
English
Other Identifying Numbers:
Journal ID: CODEN: ASLPA
Submitting Site:
HEDB
Size:
Pages: 219-227
Announcement Date:

Journal Article:

Citation Formats

Forsyth, R. Machine learning systems. United Kingdom: N. p., 1984. Web. doi:10.1108/eb050927.
Forsyth, R. Machine learning systems. United Kingdom. doi:10.1108/eb050927.
Forsyth, R. 1984. "Machine learning systems." United Kingdom. doi:10.1108/eb050927. https://www.osti.gov/servlets/purl/10.1108/eb050927.
@misc{etde_5085296,
title = {Machine learning systems}
author = {Forsyth, R}
abstractNote = {With the dramatic rise of expert systems has come a renewed interest in the fuel that drives them-knowledge. For it is specialist knowledge which gives expert systems their power. But extracting knowledge from human experts in symbolic form has proved arduous and labour-intensive. So the idea of machine learning is enjoying a renaissance. Machine learning is any automatic improvement in the performance of a computer system over time, as a result of experience. Thus a learning algorithm seeks to do one or more of the following: cover a wider range of problems, deliver more accurate solutions, obtain answers more cheaply, and simplify codified knowledge. 6 references.}
doi = {10.1108/eb050927}
journal = {ASLIB Proc.; (United Kingdom)}
volume = {5}
journal type = {AC}
place = {United Kingdom}
year = {1984}
month = {May}
}