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 |
| 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
|
| https://www.w3.org/2000/01/rdf-schema#label |
Wolpert's no free lunch theorems
|