Learning interpretable kernelized prototype-based models.
Daniela HofmannFrank-Michael SchleifBenjamin PaaßenBarbara HammerPublished in: Neurocomputing (2014)
Keyphrases
- learning process
- learning problems
- accurate models
- learning algorithm
- hidden variables
- inductive inference
- learned models
- supervised learning
- learning systems
- experimental data
- artificial neural networks
- learning analytics
- reinforcement learning
- learning scheme
- structured prediction
- latent variable models
- knowledge base