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- No_free_lunch_theorem 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 technicaland 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.".
- No_free_lunch_theorem wikiPageExternalLink Krakow.pdf.
- No_free_lunch_theorem wikiPageExternalLink www.no-free-lunch.org.
- No_free_lunch_theorem wikiPageExternalLink File:No_free_lunch_theorem.svg.
- No_free_lunch_theorem wikiPageID "1297317".
- No_free_lunch_theorem wikiPageRevisionID "596323771".
- No_free_lunch_theorem hasPhotoCollection No_free_lunch_theorem.
- No_free_lunch_theorem subject Category:Mathematical_theorems.
- No_free_lunch_theorem subject Category:Philosophy_of_mathematics.
- No_free_lunch_theorem subject Category:Scientific_folklore.
- No_free_lunch_theorem type Abstraction100002137.
- No_free_lunch_theorem type Communication100033020.
- No_free_lunch_theorem type MathematicalTheorems.
- No_free_lunch_theorem type Message106598915.
- No_free_lunch_theorem type Proposition106750804.
- No_free_lunch_theorem type Statement106722453.
- No_free_lunch_theorem type Theorem106752293.
- No_free_lunch_theorem 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".".
- No_free_lunch_theorem label "No free lunch theorem".
- No_free_lunch_theorem sameAs m.04f71zr.
- No_free_lunch_theorem sameAs Q7045226.
- No_free_lunch_theorem sameAs Q7045226.
- No_free_lunch_theorem sameAs No_free_lunch_theorem.
- No_free_lunch_theorem wasDerivedFrom No_free_lunch_theorem?oldid=596323771.
- No_free_lunch_theorem isPrimaryTopicOf No_free_lunch_theorem.