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Lazy Learner: Instance-Based Methods

  • Instance-based learning:
    • Store training examples and delay the processing (“lazy evaluation”) until a new instance must be classified
  • Typical approaches
    • k-nearest neighbor approach
      • Instances represented as points in a Euclidean space.
    • Locally weighted regression
      • Constructs local approximation
    • Case-based reasoning
      • Uses symbolic representations and knowledge-based inference

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