Login / Signup
An uncertainty-based objective function for hyperparameter optimization in Gaussian processes applied to expensive black-box problems.
Pietro Lualdi
Ralf Sturm
Andrés Camero
Tjark Siefkes
Published in:
Appl. Soft Comput. (2024)
Keyphrases
</>
gaussian processes
black box
optimization problems
gaussian process
objective function
gaussian process regression
white box
covariance function
black boxes
hyperparameters
preference learning
white box testing
multi task
regression model
test cases
model selection
data sets
integration testing