Label ranking by learning pairwise preferences

, , &
Artificial Intelligence 172 (16-17):1897-1916 (2008)
  Copy   BIBTEX

Abstract

This article has no associated abstract. (fix it)

Categories

Keywords

Reprint years

DOI

10.1016/j.artint.2008.08.002

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 103,343

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

On the ERA ranking representability of pairwise bipartite ranking functions.Willem Waegeman & Bernard De Baets - 2011 - Artificial Intelligence 175 (7-8):1223-1250.
Learning preference models from data: On the problem of label ranking and its variants.Eyke Hüllermeier & Johannes Fürnkranz - 2008 - In Giacomo Della Riccia, Didier Dubois & Hans-Joachim Lenz (eds.), Preferences and Similarities. Springer. pp. 283--304.
On the consistency of multi-label learning.Wei Gao & Zhi-Hua Zhou - 2013 - Artificial Intelligence 199-200 (C):22-44.
Multi-instance multi-label learning.Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang & Yu-Feng Li - 2012 - Artificial Intelligence 176 (1):2291-2320.
Ranking games.Felix Brandt, Felix Fischer, Paul Harrenstein & Yoav Shoham - 2009 - Artificial Intelligence 173 (2):221-239.
Pairwise symmetry reasoning for multi-agent path finding search.Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Hang Ma, Graeme Gange & Sven Koenig - 2021 - Artificial Intelligence 301 (C):103574.
Self-training improves few-shot learning in legal artificial intelligence tasks.Yulin Zhou, Yongbin Qin, Ruizhang Huang, Yanping Chen, Chuan Lin & Yuan Zhou - forthcoming - Artificial Intelligence and Law:1-17.
Credibility Dynamics: A belief-revision-based trust model with pairwise comparisons.David Jelenc, Luciano H. Tamargo, Sebastian Gottifredi & Alejandro J. García - 2021 - Artificial Intelligence 293 (C):103450.
Exploiting the category structure of Wikipedia for entity ranking.Rianne Kaptein & Jaap Kamps - 2013 - Artificial Intelligence 194 (C):111-129.
Klaus Fischer Jorg P. Muller Markus pischel.AGenDA—A. General Testbed - 1996 - In N. Jennings & G. O'Hare (eds.), Foundations of Distributed Artificial Intelligence. Wiley. pp. 9--401.

Analytics

Added to PP
2020-12-22

Downloads
15 (#1,278,503)

6 months
4 (#864,415)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

Preferences in AI: An overview.Carmel Domshlak, Eyke Hüllermeier, Souhila Kaci & Henri Prade - 2011 - Artificial Intelligence 175 (7-8):1037-1052.
On the consistency of multi-label learning.Wei Gao & Zhi-Hua Zhou - 2013 - Artificial Intelligence 199-200 (C):22-44.

Add more citations

References found in this work

Add more references