ていり
ノーフリーランチ定理
1. no free lunch theoremMathematics
2. No free lunch in search and optimizationIn computing, there are circumstances in which the outputs of all procedures solving a particular type of problem are statistically identical. A colorful way of describing such a circumstance, introduced by David Wolpert and William G. Macready in connection with the problems of search and optimization, is to say that there is no free lunch. Wolpert had previously derived no free lunch theorems for machine learning.
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Read “No free lunch in search and optimization” on DBpedia
Read “No free lunch in search and optimization” on English Wikipedia
Read “ノーフリーランチ定理” on Japanese Wikipedia
Read “No free lunch in search and optimization” on DBpedia
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