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Mark Nejman

dblp:32/48 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none

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

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

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.

Theoretical computer science
1 paper
Automata and formal languages · 100%

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

TopicWeightPapersLastEvidence papers
Automata and formal languages › grammatical inference
context-free grammar learning		 0.012004
On the Relationship between Lexical Semantics and Syntax for the Inference of Context-Free Grammars · AAAI 2004
Automata and formal languages
grammatical inference		 0.012004
On the Relationship between Lexical Semantics and Syntax for the Inference of Context-Free Grammars · AAAI 2004
YearPublicationVenuePosition
2004 On the Relationship between Lexical Semantics and Syntax for the Inference of Context-Free Grammars
Tim Oates 0001, Tom Armstrong, Justin Harris, Mark Nejman
 AAAI4