Classification Tree Learning Algorithm: Difference between revisions

Revision as of 01:47, 16 July 2013

Context:
- It can be implemented in an Classification Tree Learning System.
- It is a Symbolic Learning Algorithm.
- It is a Discriminative Learning Algorithm.
Example(s):
- C4.5 Algorithm.
- ID3 Algorithm.
- FOIL Algorithm.
- CART Algorithm.
Counter-Example(s):
- a Ranking Tree Learning Algorithm.
- a Regression Tree Learning Algorithm.
See: Kernel-based Classification Algorithm.

@@ Line 4: / Line 4: @@
 ** It is a [[Symbolic Learning Algorithm]].
 ** It is a [[Discriminative Learning Algorithm]].
+* <B><U>Example(s)</U>:</B>
+** [[C4.5 Algorithm]].
+** [[ID3 Algorithm]].
+** [[FOIL Algorithm]].
+** [[CART Algorithm]].
 * <B>Counter-Example(s):</B>
+** a [[Ranking Tree Learning Algorithm]].
 ** a [[Regression Tree Learning Algorithm]].
 * <B>See:</B> [[Kernel-based Classification Algorithm]].
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