Semantics-based inference algorithms for adaptive visual environments
Semantics-based inference algorithms for adaptive visual environments
About this item
Full title
Author / Creator
Ferrucci, F. , Tortora, G. , Tucci, M. and Vitiello, G.
Publisher
New York, NY: IEEE
Journal title
Language
English
Formats
Publication information
Publisher
New York, NY: IEEE
Subjects
More information
Scope and Contents
Contents
The paper presents a grammatical inference methodology for the generation of visual languages, that benefits from the availability of semantic information about the sample sentences. Several well-known syntactic inference algorithms are shown to obey a general inference scheme, which the authors call the Gen-Inf scheme. Then, all the algorithms of...
Alternative Titles
Full title
Semantics-based inference algorithms for adaptive visual environments
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_28193144
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_28193144
Other Identifiers
ISSN
0098-5589
E-ISSN
1939-3520
DOI
10.1109/32.544351
