parameterLearning
P91763
predicate
Indicates a process or relationship in which parameters of a model, system, or function are adjusted or inferred—typically from data—to improve performance or fit.
All labels observed (1)
| Label | Occurrences |
|---|---|
| parameterLearning canonical | 2 |
Description generation (PDg)
The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.
Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning. # Instructions Focus on describing the relationship, not the entities themselves. # Response Format Begin the description with \' Indicates...\'
Input
Predicate: parameterLearning
Generated description
Indicates a process or relationship in which parameters of a model, system, or function are adjusted or inferred—typically from data—to improve performance or fit.
Sample triples (2)
| Subject | Object |
|---|---|
| Bayesian networks | maximum likelihood estimation ⓘ |
| Bayesian networks | Bayesian parameter estimation ⓘ |