In machine learning, instance-based learning or memory-based learning is a family of learning algorithms that, instead of performing explicit generalization, compares new problem instances with instances seen in training, which have been stored in memory. Instance-based learning is a kind of lazy learning. … Instance-Based Learning (IBL)
If you did not already know: “Instance-Based Learning (IBL)”
06 Monday Jul 2015
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