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New problem instances are compared with instances seen in training phase (stored in memory) instead of performing explicit generalization (lazy learning).

Hypothesis

• Constructed on the fly directly from the training instances
• The complexity can grow with the data
• In the worst case it is a list of all training samples

Advantage

• Adapt the model to previous unseen data