Extensions of a Theory of Networks for Approximation and Learning: Outliers and Negative Examples

Girosi, Federico, Poggio, Tomaso, Caprile, Bruno

Dec-31-1991–Neural Information Processing Systems

Learning an input-output mapping from a set of examples can be regarded as synthesizing an approximation of a multidimensional function.

extension, girosi, negative example, (13 more...)

Neural Information Processing Systems

Dec-31-1991

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Country:
- Europe > Italy (0.04)
- North America > United States
  - District of Columbia > Washington (0.04)
  - Massachusetts > Middlesex County
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Technology:
- Information Technology > Artificial Intelligence
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (0.71)
  - Machine Learning
    - Supervised Learning (0.44)
    - Inductive Learning (0.44)
    - Learning Graphical Models > Directed Networks
      - Bayesian Learning (0.49)

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Extensions of a Theory of Networks for Approximation and Learning: Outliers and Negative Examples
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