Pages that link to "Item:Q2203074"
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The following pages link to Recursive estimation for sparse Gaussian process regression (Q2203074):
Displaying 13 items.
- Real-time model learning using incremental sparse spectrum Gaussian process regression (Q461107) (← links)
- Recursive learning for sparse Markov models (Q516456) (← links)
- Locally induced Gaussian processes for large-scale simulation experiments (Q2058747) (← links)
- Deep state-space Gaussian processes (Q2058900) (← links)
- Consistent online Gaussian process regression without the sample complexity bottleneck (Q2058904) (← links)
- The recursive variational Gaussian approximation (R-VGA) (Q2066753) (← links)
- A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with skew Gaussian processes (Q2071487) (← links)
- A stochastic variational framework for recurrent Gaussian processes models (Q2188216) (← links)
- Efficient spatio-temporal Gaussian regression via Kalman filtering (Q2188275) (← links)
- Online Bayesian inference and learning of Gaussian-process state-space models (Q2665113) (← links)
- Sparse on-line Gaussian processes (Q2780851) (← links)
- Sparse Gaussian process with input noise for human pose estimation (Q5198115) (← links)
- Correlated product of experts for sparse Gaussian process regression (Q6161201) (← links)