Motivation: acquire expert knowledge from examples of expert's problem solving.
Assumption is that it is easier for expert to demonstrate his expertise than to ''tell all he knows``.
Input to the induction algorithm is classified examples (which corresponds to I/O of human expert):
|< f11, f12, ..., f1n >||classification1|
|< f21, f22, ..., f2m >||classification2|
Output from the induction algorithm is a decision tree with features labeling interior nodes and classifications labeling leaves.
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