Wolpert's no free lunch theorems
GPTKB entity
Statements (16)
Predicate | Object |
---|---|
gptkbp:instanceOf |
gptkb:mathematical_concept
|
gptkbp:alsoKnownAs |
NFL theorems
|
gptkbp:appliesTo |
search algorithms
machine learning algorithms optimization algorithms |
gptkbp:author |
gptkb:David_Wolpert
|
gptkbp:field |
gptkb:machine_learning
optimization |
https://www.w3.org/2000/01/rdf-schema#label |
Wolpert's no free lunch theorems
|
gptkbp:influenced |
gptkb:algorithm_selection_theory
meta-learning |
gptkbp:publicationYear |
1996
|
gptkbp:publishedIn |
gptkb:IEEE_Transactions_on_Evolutionary_Computation
|
gptkbp:sentence |
No optimization algorithm is universally better than any other when averaged over all possible problems.
|
gptkbp:bfsParent |
gptkb:David_Walpert
|
gptkbp:bfsLayer |
7
|