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Decision Tree

Decision Tree. By Wang Rui State Key Lab of CAD&CG 2004-03-17. Review. Concept learning Induce Boolean function from a sample of positive/negative training examples. Concept learning can be cast as Searching through predefined hypotheses space Searching Algorithm: FIND-S

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998 views • 44 slides

COMPE 467 - Pattern Recognition

Nearest and k-nearest Neighbor Classification. COMPE 467 - Pattern Recognition. Nearest Neighbor (NN) Rule & k-Nearest Neighbor (k-NN) Rule. Non-parametric : Can be used with arbitrary distributions, No need to assume that the form of the underlying densities are known NN Rule s

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374 views • 21 slides

COMPE 467 - Pattern Recognition

Nearest and k-nearest Neighbor Classification. COMPE 467 - Pattern Recognition. 1-NN Rule: Given an u n known sample X decide if for That is, assign X to category if the closest neighbor of X is from category i.

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324 views • 19 slides

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Decision Tree

COMPE 467 - Pattern Recognition

COMPE 467 - Pattern Recognition