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Alle Oberthemen / Telematik / Computational Intelligence / Computational Intelligence VO (442.070 TUGraz 2014)
66
What are the differences between lazy and eager learning?
Lazy Learning
The system tries to generalize the training data before receiving queries (-> Neural Networks)
  • +target function approximated globally
  • +deals with noise in the training data
  • -unable to provide good local approximations

Eager Learning:
The system does not generalize until a guery is made to the system (-> k-NN)
  • +target function approximated locally
  • -large space requirements to store the entire training dataset
  • -slow to evaluate
Tags:
Quelle: CI Teil 1 Lecture 6
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Karteninfo:
Autor: Sepp Samuel
Oberthema: Telematik
Thema: Computational Intelligence
Schule / Uni: TU Graz
Veröffentlicht: 02.07.2014

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