Max-Margin Majority Voting for Learning from Crowds

TIAN TIAN, Jun Zhu

Oct-2-2025, 14:31:12 GMT–Neural Information Processing Systems

Learning-from-crowds aims to design proper aggregation strategies to infer the unknown true labels from the noisy labels provided by ordinary web workers.

artificial intelligence, machine learning, majority voting, (16 more...)

Neural Information Processing Systems

Oct-2-2025, 14:31:12 GMT

Conferences PDF

Country:
- Asia
  - China > Beijing
    - Beijing (0.04)
  - Middle East > Jordan (0.04)

Genre:
- Research Report (0.46)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Directed Networks
      - Bayesian Learning (0.69)
    - Statistical Learning (1.00)
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (0.95)

Duplicate Docs Excel Report

Title
Max-Margin Majority Voting for Learning from Crowds
Max-Margin Majority Voting for Learning from Crowds

Similar Docs Excel Report more

Title	Similarity	Source
None found