The following pages link to (Q5396647):
Displaying 30 items.
- MAGMA: inference and prediction using multi-task Gaussian processes with common mean (Q80870) (← links)
- Effect of environmental stress on regulation of gene expression in the yeast (Q1618450) (← links)
- Large scale variable fidelity surrogate modeling (Q1680849) (← links)
- Multi-target regression via input space expansion: treating targets as inputs (Q1689552) (← links)
- Large scale multi-label learning using Gaussian processes (Q2051297) (← links)
- Improving exoplanet detection power: multivariate Gaussian process models for stellar activity (Q2154169) (← links)
- JGPR: a computationally efficient multi-target Gaussian process regression algorithm (Q2163240) (← links)
- Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling (Q2170435) (← links)
- A hierarchical dependent Dirichlet process prior for modelling bird migration patterns in the UK (Q2179980) (← links)
- Compositionally-warped Gaussian processes (Q2185629) (← links)
- High-dimensional Bayesian optimization using low-dimensional feature spaces (Q2217451) (← links)
- The role of surrogate models in the development of digital twins of dynamic systems (Q2241783) (← links)
- Grouped Gaussian processes for solar power prediction (Q2320556) (← links)
- Multivariate versus univariate Kriging metamodels for multi-response simulation models (Q2356270) (← links)
- Statistical causality for multivariate nonlinear time series via Gaussian process models (Q2684931) (← links)
- (Q4998896) (← links)
- Predicting the Behaviour of the Senescence-Accelerated Mouse (SAM) Strains (SAMPs and SAMR) Using Machine Learning Algorithm (Q5052868) (← links)
- (Q5214205) (← links)
- (Q5214237) (← links)
- Intercorrelated random fields with bounds and the Bayesian identification of their parameters: Application to linear elastic struts and fibers (Q6070085) (← links)
- On Negative Transfer and Structure of Latent Functions in Multioutput Gaussian Processes (Q6109146) (← links)
- Deep Gaussian processes for calibration of computer models (with discussion) (Q6121987) (← links)
- Pruning during training by network efficacy modeling (Q6134335) (← links)
- Likelihood-free inference in state-space models with unknown dynamics (Q6190645) (← links)
- Emulating complex dynamical simulators with random Fourier features (Q6587625) (← links)
- Enhancing response predictions with a joint Gaussian process model for stochastic simulation models (Q6600076) (← links)
- Gaussian Process Modeling Using the Principle of Superposition (Q6621637) (← links)
- Improving piecewise linear snow density models through hierarchical spatial and orthogonal functional smoothing (Q6626481) (← links)
- Federated Multi-Output Gaussian Processes (Q6631183) (← links)
- Joint Models for Event Prediction From Time Series and Survival Data (Q6631905) (← links)
