Visualizing Parameter Spaces of Deep-Learning Machines.
Monte HancockAntoinette HadgisBenjamin BowlesPayton BrownAlexis-Walid AhmedTyler HigginsNikki BernobicPublished in: HCI (15) (2019)
Keyphrases
- learning machines
- parameter space
- support vector
- ensemble learning
- high dimensional
- training algorithm
- learning tasks
- model selection
- learning algorithm
- vc dimension
- support vector machine
- pattern recognition
- learning problems
- theoretical analysis
- special case
- sample complexity
- learning experience
- artificial neural networks
- lower bound
- generalization error
- decision trees
- data sets