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- Q7045226 subject Q6454414.
- Q7045226 subject Q7036027.
- Q7045226 subject Q8761533.
- Q7045226 abstract "In mathematical folklore, the "no free lunch" theorem (sometimes pluralized) of David Wolpert and William Macready appears in the 1997 "No Free Lunch Theorems for Optimization". Wolpert had previously derived no free lunch theorems for machine learning (statistical inference).In 2005, Wolpert and Macready themselves indicated that the first theorem in their paper "state[s] that any two optimization algorithms are equivalent when their performance is averaged across all possible problems". The 1997 theorems of Wolpert and Macready are mathematically technical and some find them unintuitive.The folkloric "no free lunch" (NFL) theorem is an easily stated and easily understood consequence of theorems Wolpert and Macready actually prove. It is weaker than the proven theorems, and thus does not encapsulate them.Various investigators have extended the work of Wolpert and Macready substantively. See No free lunch in search and optimization for treatment of the research area.".
- Q7045226 wikiPageExternalLink Krakow.pdf.
- Q7045226 wikiPageExternalLink www.no-free-lunch.org.
- Q7045226 wikiPageExternalLink File:No_free_lunch_theorem.svg.
- Q7045226 wikiPageWikiLink Q1036748.
- Q7045226 wikiPageWikiLink Q141495.
- Q7045226 wikiPageWikiLink Q17080465.
- Q7045226 wikiPageWikiLink Q172618.
- Q7045226 wikiPageWikiLink Q18154286.
- Q7045226 wikiPageWikiLink Q251348.
- Q7045226 wikiPageWikiLink Q255847.
- Q7045226 wikiPageWikiLink Q560878.
- Q7045226 wikiPageWikiLink Q6454414.
- Q7045226 wikiPageWikiLink Q7036027.
- Q7045226 wikiPageWikiLink Q8761533.
- Q7045226 type Thing.
- Q7045226 comment "In mathematical folklore, the "no free lunch" theorem (sometimes pluralized) of David Wolpert and William Macready appears in the 1997 "No Free Lunch Theorems for Optimization". Wolpert had previously derived no free lunch theorems for machine learning (statistical inference).In 2005, Wolpert and Macready themselves indicated that the first theorem in their paper "state[s] that any two optimization algorithms are equivalent when their performance is averaged across all possible problems".".
- Q7045226 label "No free lunch theorem".
- Q7045226 seeAlso Q715170.