Pages that link to "Item:Q2665700"
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The following pages link to Deterministic error bounds for kernel-based learning techniques under bounded noise (Q2665700):
Displaying 7 items.
- Learning a function from noisy samples at a finite sparse set of points (Q1048968) (← links)
- High-probability stable Gaussian process-supported model predictive control for Lur'e systems (Q2095350) (← links)
- Bayesian frequentist bounds for machine learning and system identification (Q2097759) (← links)
- Deterministic error analysis of support vector regression and related regularized kernel methods (Q2880966) (← links)
- Learning stability guarantees for constrained switching linear systems from noisy observations (Q6122789) (← links)
- Lower bounds on the noiseless worst-case complexity of efficient global optimization (Q6536837) (← links)
- Decentralized event-triggered online learning for safe consensus control of multi-agent systems with Gaussian process regression (Q6652216) (← links)