Statements (18)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
|
| gptkbp:alsoKnownAs |
Stochastic approximation algorithm
|
| gptkbp:application |
Machine learning
Operations research Simulation optimization |
| gptkbp:category |
Stochastic algorithms
|
| gptkbp:field |
Statistics
Stochastic optimization |
| https://www.w3.org/2000/01/rdf-schema#label |
Kiefer–Wolfowitz algorithm
|
| gptkbp:introduced |
gptkb:Jacob_Wolfowitz
gptkb:Jack_Kiefer |
| gptkbp:introducedIn |
1952
|
| gptkbp:purpose |
Find the maximum of a function when only noisy measurements are available
|
| gptkbp:relatedTo |
gptkb:Robbins–Monro_algorithm
|
| gptkbp:type |
Iterative method
|
| gptkbp:uses |
Finite-difference gradient estimation
|
| gptkbp:bfsParent |
gptkb:Robbins–Monro_algorithm
|
| gptkbp:bfsLayer |
7
|