GCNIllustrator: Illustrating the Effect of Hyperparameters on Graph Convolutional Networks.
Ivona NajdenkoskaJeroen den BoefThomas SchneiderJusto van der WerfReinier de RidderFajar FathurrahmanMarcel WorringPublished in: ACM Multimedia (2021)
Keyphrases
- hyperparameters
- model selection
- cross validation
- bayesian inference
- prior information
- closed form
- bayesian framework
- gaussian process
- support vector
- noise level
- gaussian processes
- em algorithm
- sample size
- random sampling
- maximum a posteriori
- incomplete data
- incremental learning
- maximum likelihood
- image processing
- parameter settings
- computer vision
- state space
- high dimensional
- decision trees