Markov Random Fields for Collaborative Filtering

Nov-17-2025, 19:22:45 GMT–Neural Information Processing Systems

We propose a novel approximation for learning sparse MRFs, where the trade-off between recommendation-accuracy and training-time can be controlled.

approximation, artificial intelligence, machine learning, (15 more...)

Neural Information Processing Systems

Nov-17-2025, 19:22:45 GMT

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Country:
- Europe > United Kingdom
  - England > Oxfordshire > Oxford (0.04)
- North America
  - Canada > British Columbia (0.04)
  - United States > California
    - Santa Clara County > Los Gatos (0.04)

Genre:
- Research Report (0.47)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Undirected Networks
      - Markov Models (0.41)
    - Neural Networks (1.00)
    - Statistical Learning (1.00)
  - Representation & Reasoning > Uncertainty (0.68)

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