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  • Related Topics
    • Intro
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  • Instance-based learning
  • Model-based learning

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  1. ML & Data Science
  2. Frequent Questions

Instance-based vs Model-based Learning

PreviousBatch vs Online LearningNextBias-Variance Tradeoff

Last updated 3 years ago

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Instance-based learning

  • It makes predictions based on how similar is a new instance to the ones next to it.

  • It requires a measure of similarity.

  • Examples:

    • (RBF Networks)

Model-based learning

  • It "learns" some parameters by a specified performance measure, expressed as:

    • a fitness function: how good the model is, or

    • a cost function: how bad the model is.

  • Examples:

    • Linear Regression

    • Logistic Regression

    • Decision trees

    • ...

k-Nearest Neighbors
Kernel Machines
Radial Basis Functions Networks