Pages that link to "Item:Q2747213"
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The following pages link to Predictive approaches for choosing hyperparameters in Gaussian processes (Q2747213):
Displaying 24 items.
- Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm (Q721156) (← links)
- Parallel cross-validation: a scalable fitting method for Gaussian process models (Q829752) (← links)
- Efficient approximate leave-one-out cross-validation for kernel logistic regression (Q1009261) (← links)
- A flexible approach to inference in semiparametric regression models with correlated errors using Gaussian processes (Q1659007) (← links)
- Nested polynomial trends for the improvement of Gaussian process-based predictors (Q1691892) (← links)
- Cross validation and maximum likelihood estimations of hyper-parameters of Gaussian processes with model misspecification (Q1800115) (← links)
- A survey of Bayesian predictive methods for model assessment, selection and comparison (Q1951655) (← links)
- Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-\(t\) models (Q2032222) (← links)
- A fast and calibrated computer model emulator: an empirical Bayes approach (Q2058785) (← links)
- Deterministic global optimization with Gaussian processes embedded (Q2062323) (← links)
- Multineuron spike train analysis with R-convolution linear combination kernel (Q2179825) (← links)
- Gaussian field on the symmetric group: prediction and learning (Q2293716) (← links)
- Surrogate model approach for investigating the stability of a friction-induced oscillator of Duffing's type (Q2296783) (← links)
- Sequential approximate optimization for design under uncertainty problems utilizing Kriging metamodeling in augmented input space (Q2308910) (← links)
- Cross-validation estimation of covariance parameters under fixed-domain asymptotics (Q2401354) (← links)
- Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes (Q2637600) (← links)
- Streaming-Data Selection for Gaussian-Process Modelling (Q2829652) (← links)
- Particle swarm optimization for adaptive hyper-parameters acquisition of Gaussian process regression (Q3307744) (← links)
- A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems (Q5380294) (← links)
- Fast Generalized Cross-Validation Algorithm for Sparse Model Learning (Q5758076) (← links)
- A set‐based approach for hierarchical optimization problem using Bayesian active learning (Q6062828) (← links)
- Gradient and uncertainty enhanced sequential sampling for global fit (Q6096471) (← links)
- Dynamic characteristics and reliability analysis of parallel mechanism with clearance joints and parameter uncertainties (Q6169766) (← links)
- Parameter Selection in Gaussian Process Interpolation: An Empirical Study of Selection Criteria (Q6188695) (← links)
