Learning by recording cases: Difference between revisions
Mr. MacKenty (talk | contribs) (Created page with "right|frame|Artificial Intelligence<ref>http://www.flaticon.com/</ref> == learning by recording cases == In learning by recording cases, we take the closest...") |
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[[file:AI.png|right|frame|Artificial Intelligence<ref>http://www.flaticon.com/</ref>]] | [[file:AI.png|right|frame|Artificial Intelligence<ref>http://www.flaticon.com/</ref>]] | ||
In the context of artificial intelligence, Learning by recording cases has to do with memory. We cannot have intelligence if we do not have memory. | |||
== learning by recording cases == | == learning by recording cases == | ||
Given a problem retrieve the most similar prior problem from memory. | |||
== Nearest neighbor method == | == Nearest neighbor method == | ||
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Given a new problem, I am going to look for a similar problem. This is the essence of the nearest neighbor problem. We look for "the most similar". | Given a new problem, I am going to look for a similar problem. This is the essence of the nearest neighbor problem. We look for "the most similar". | ||
<references /> | <references /> | ||
Latest revision as of 06:55, 17 February 2018
Artificial Intelligence[1]
In the context of artificial intelligence, Learning by recording cases has to do with memory. We cannot have intelligence if we do not have memory.
learning by recording cases[edit]
Given a problem retrieve the most similar prior problem from memory.
Nearest neighbor method[edit]
Given a new problem, I am going to look for a similar problem. This is the essence of the nearest neighbor problem. We look for "the most similar".