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Barbara C. Sangster

dblp:03/5596 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1979
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Learning theory · 50% Knowledge representation and reasoning · 50%
Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 50% Programming languages and type systems · 50%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Learning theory
classification
0.011979
On the Automatic Transformation of Class Membership Criteria · ACL 1979
Knowledge, reasoning and agents › Knowledge representation and reasoning › pattern matching
inexact matching
0.011979
On the Automatic Transformation of Class Membership Criteria · ACL 1979

Methods — techniques the papers use, named apart from their topics

exemplary instance matching · 0.0criteria transformation · 0.0automatic compilation · 0.0
YearPublicationVenuePosition
1979 On the Automatic Transformation of Class Membership Criteria
abstract
This paper addresses a problem that may arise in classification tasks: the design of procedures for matching an instance with a set of criteria for class membership in such a way as to permit the intelligent handling of inexact, as well as exact matches. An inexact match is a comparison between an instance and a set of criteria (or a second instance) which has the result that some, but not all, of the criteria described (or exemplified) in the second are found to be satisfied in the first. An exact match is such a comparison for which all of the criteria of the second are found to be satisfied in the first. The approach presented in this paper is to transform the set of criteria for class membership into an exemplary instance of a member of the class, which exhibits a set of characteristics whose presence is necessary and sufficient for membership in that class. Use of this exemplary instance during the matching process appears to permit important functions associated with inexact matching to be easily performed, and also to have a beneficial effect on the overall efficiency of the matching process.
Barbara C. Sangster
ACL1
1979 An Overview of an Automatically Compilable Hierarchical Definition Matcher
Barbara C. Sangster
IJCAI1