z-logo
open-access-imgOpen Access
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking
Author(s) -
Clément Calauzènes,
Nicolas Usunier,
Patrick Gallinari
Publication year - 2012
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - ranking (information retrieval) , metric (unit) , pairwise comparison , calibration , rank (graph theory) , mathematical optimization , function (biology) , mathematics , regular polygon , computer science , task (project management) , minification , learning to rank , convex function , artificial intelligence , machine learning , statistics , combinatorics , engineering , geometry , operations management , systems engineering , evolutionary biology , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom