Case-based Reasoning Algorithm: Difference between revisions

Latest revision as of 17:19, 1 August 2022

(Mitchell, 1997) ⇒ Tom M. Mitchell. (1997). “Machine Learning." McGraw-Hill.
- QUOTE: Section 8.6 Remarks on Lazy and Eager Learning: In this chapter we considered three lazy learning methods: the k-Nearest Neighbor algorithm, locally weighted regression, and case-based reasoning.

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 A [[Case-based Reasoning Algorithm]] is a [[Lazy Learning Algorithm]] that ...
-* <B><U>AKA</U>:</B> [[Case-based Reasoning]].
+* <B>AKA:</B> [[Case-based Reasoning Algorithm|Case-based Reasoning]].
-* <B><U>See</U>:</B> [[Nearest Neighbor Algorithm]].
+* <B>See:</B> [[Nearest Neighbor Algorithm]].
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-==References ==
-===1997===
+== References ==
-* ([[1997_MachineLearning|Mitchell, 1997]]) &rArr; [[Tom M. Mitchell]]. (1997). "[http://www.cs.cmu.edu/~tom/mlbook.html Machine Learning]." McGraw-Hill.
-** <U>QUOTE</U>: Section 8.6 Remarks on Lazy and Eager Learning: In this chapter we considered three ''lazy'' learning methods: the ''k''-Nearest Neighbor algorithm, locally weighted regression, and '''case-based reasoning'''.
+=== 1997 ===
+* ([[1997_MachineLearning|Mitchell, 1997]]) ⇒ [[Tom M. Mitchell]]. ([[1997]]). “[http://www.cs.cmu.edu/~tom/mlbook.html Machine Learning]." McGraw-Hill.
+** QUOTE: Section 8.6 Remarks on Lazy and Eager Learning: In this chapter [[we]] considered three ''lazy'' learning methods: the <i>k</i>-Nearest Neighbor algorithm, locally weighted regression, and <B>case-based reasoning</B>.
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