Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
scientific theory
|
| gptkbp:address |
performance variability of algorithms
|
| gptkbp:appliesTo |
problems with multiple algorithms available
|
| gptkbp:concerns |
choosing the best algorithm for a given problem instance
|
| gptkbp:field |
gptkb:artificial_intelligence
computer science |
| gptkbp:goal |
maximize performance by selecting appropriate algorithm
|
| gptkbp:hasApplication |
combinatorial optimization
numerical analysis data mining constraint programming machine learning pipelines SAT solving automated algorithm configuration |
| https://www.w3.org/2000/01/rdf-schema#label |
algorithm selection theory
|
| gptkbp:introducedIn |
1976
|
| gptkbp:originatedIn |
gptkb:John_R._Rice
|
| gptkbp:relatedTo |
gptkb:machine_learning
optimization meta-learning |
| gptkbp:uses |
features of problem instances
|
| gptkbp:bfsParent |
gptkb:No_Free_Lunch_Theorems_for_Optimization
|
| gptkbp:bfsLayer |
6
|