Convergence guarantees for kernel-based quadrature rules in misspecified settings.
Motonobu KanagawaBharath K. SriperumbudurKenji FukumizuPublished in: NIPS (2016)
Keyphrases
- convergence proof
- association rules
- convergence rate
- kernel methods
- decision rules
- initial conditions
- support vector machine
- association rule mining
- background knowledge
- training data
- knowledge discovery
- human experts
- rule sets
- domain knowledge
- rule extraction
- feature space
- rule discovery
- amplitude modulation
- support vector