Mean Field Methods for Classification with Gaussian Processes

Dec-31-1999–Neural Information Processing Systems

We discuss the application of TAP mean field methods known from the Statistical Mechanics of disordered systems to Bayesian classification models with Gaussian processes. In contrast to previous approaches, no knowledge about the distribution of inputs is needed. Simulation results for the Sonar data set are given.

bayesian inference, classification, neural network, (16 more...)

Neural Information Processing Systems

Dec-31-1999

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Country:
- Europe
  - Denmark (0.14)
  - Sweden (0.14)
  - United Kingdom (0.14)
- North America > Canada
  - Ontario > Toronto (0.14)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning
      - Learning Graphical Models > Directed Networks
        Bayesian Learning (0.69)
      - Neural Networks (0.72)
    - Representation & Reasoning > Uncertainty
      - Bayesian Inference (0.69)
  - Modeling & Simulation (1.00)

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