z-logo
open-access-imgOpen Access
A Convex Formulation for Learning from Crowds
Author(s) -
Hiroshi Kajino,
Yuta Tsuboi,
Hisashi Kashima
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v26i1.8105
Subject(s) - crowds , crowdsourcing , computer science , machine learning , artificial intelligence , convex optimization , optimization problem , online machine learning , regular polygon , semi supervised learning , mathematics , algorithm , geometry , computer security , world wide web

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