Output details
11 - Computer Science and Informatics
University of Southampton
Article title
Asymptotic mean and variance of Gini correlation for bivariate normal samples
Type
D - Journal article
Title of journal
IEEE Transactions on Signal Processing
Article number
-
Volume number
58
Issue number
2
First page of article
522
ISSN of journal
1053-587X
Year of publication
2010
Number of additional authors
3
Additional information
Significance of output:
<24>This work, arising from a short Visiting Fellowship held at the University of Hong Kong, is a careful derivation of a fundamental asymptotic property of rank correlations. This is a theoretical result necessary to be able to design learning theory bounds of ranking algorithms, applicable in information retrieval and recommender systems.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
8
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
