Output details
11 - Computer Science and Informatics
University of Ulster
Article title
Versatile string kernels
Type
D - Journal article
Title of journal
Theoretical Computer Science
Article number
-
Volume number
495
Issue number
-
First page of article
50
ISSN of journal
03043975
Year of publication
2013
URL
-
Number of additional authors
1
Additional information
<12>Measuring similarity of strings, through string kernels, is an important class of computer science problems, which has applications in text processing, image processing and computational biology, demography and decision making. This paper is the culmination of a fruitful collaboration with Professor Cees Elzinga, VU University Amsterdam. It is also the basis of an EPSRC proposal on document understanding for medical applications, CaseBook, jointly with Queen’s University Belfast and Dundee, to be submitted shortly.
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Artificial Intelligence and Applications
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
