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About: No free lunch theorem     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:Theorem106752293, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)

Type: yago:WikicatMathematicalTheoremsyago:Abstraction100002137yago:Communication100033020yago:Message106598915yago:Proposition106750804yago:Statement106722453yago:Theorem106752293 New Facet based on Instances of this Class

In mathematical folklore, the "no free lunch" (NFL) theorem (sometimes pluralized) of David Wolpert and appears in the 1997 "No Free Lunch Theorems for Optimization". Wolpert had previously derived no free lunch theorems for machine learning (statistical inference). The name alludes to the saying "there ain't no such thing as a free lunch", that is, there are no easy shortcuts to success. While some scholars argue that NFL conveys important insight, others argue that NFL is of little relevance to machine learning research.