Difference between revisions of "Case-based reasoning"
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| − | '''Case- | + | '''Case-nased reasoning''' ('''CBR''') is a sub-field of [[artificial intelligence]] that works on learning from past experience (similar cases). |
[[Collaborative filtering]] and [[content-based filtering]] methods that rely on [[similarity measure]]s, e.g. [[kNN]], can be viewed as CBR methods. | [[Collaborative filtering]] and [[content-based filtering]] methods that rely on [[similarity measure]]s, e.g. [[kNN]], can be viewed as CBR methods. | ||
== External links == | == External links == | ||
| − | [[Wikipedia: Case-based reasoning]] | + | * [[Wikipedia: Case-based reasoning]] |
Revision as of 10:57, 3 February 2012
Case-nased reasoning (CBR) is a sub-field of artificial intelligence that works on learning from past experience (similar cases). Collaborative filtering and content-based filtering methods that rely on similarity measures, e.g. kNN, can be viewed as CBR methods.
