The following pages link to Sparse on-line Gaussian processes (Q2780851):
Displaying 50 items.
- Hilbert space methods for reduced-rank Gaussian process regression (Q91877) (← links)
- Real-time model learning using incremental sparse spectrum Gaussian process regression (Q461107) (← links)
- Online model regression for nonlinear time-varying manufacturing systems (Q518306) (← links)
- Active and sparse methods in smoothed model checking (Q832071) (← links)
- Merging MCMC subposteriors through Gaussian-process approximations (Q1631561) (← links)
- Stochastic variational hierarchical mixture of sparse Gaussian processes for regression (Q1722733) (← links)
- SAKM: self-adaptive kernel machine. A kernel-based algorithm for online clustering (Q1932096) (← links)
- A kernel-based perceptron with dynamic memory (Q1943042) (← links)
- Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis (Q1945126) (← links)
- Sequential approaches for learning datum-wise sparse representations (Q1945129) (← links)
- Robust weighted Gaussian processes (Q1995846) (← links)
- The kernel Kalman rule. Efficient nonparametric inference by recursive least-squares and subspace projections (Q2008642) (← links)
- Data-driven surrogates for high dimensional models using Gaussian process regression on the Grassmann manifold (Q2020284) (← links)
- Systematic sensor placement for structural anomaly detection in the absence of damaged states (Q2021134) (← links)
- Large scale multi-label learning using Gaussian processes (Q2051297) (← links)
- Locally induced Gaussian processes for large-scale simulation experiments (Q2058747) (← links)
- Consistent online Gaussian process regression without the sample complexity bottleneck (Q2058904) (← links)
- A distributed ensemble of relevance vector machines for large-scale data sets on Spark (Q2098338) (← links)
- Variational Bayesian approximation of inverse problems using sparse precision matrices (Q2138759) (← links)
- Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks (Q2198218) (← links)
- Recursive estimation for sparse Gaussian process regression (Q2203074) (← links)
- Bayesian optimization of variable-size design space problems (Q2245699) (← links)
- Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction (Q2291528) (← links)
- Gaussian and sparse processes are limits of generalized Poisson processes (Q2300770) (← links)
- Parametric Gaussian process regression for big data (Q2319397) (← links)
- Sparse feature map-based Markov models for nonlinear fluid flows (Q2331856) (← links)
- A constrained matrix-variate Gaussian process for transposable data (Q2512899) (← links)
- Constructing Bayesian formulations of sparse kernel learning methods (Q2568020) (← links)
- Online Bayesian inference and learning of Gaussian-process state-space models (Q2665113) (← links)
- Iterated Kalman methodology for inverse problems (Q2671376) (← links)
- Learning with partition of unity-based kriging estimators (Q2698244) (← links)
- Streaming-Data Selection for Gaussian-Process Modelling (Q2829652) (← links)
- Sparse spectrum Gaussian process regression (Q2896119) (← links)
- Validation-Based Sparse Gaussian Process Classifier Design (Q3497619) (← links)
- (Q4558471) (← links)
- Online Hyperparameter-Free Sparse Estimation Method (Q4580648) (← links)
- (Q4614106) (← links)
- (Q4614107) (← links)
- (Q4637023) (← links)
- On Different Facets of Regularization Theory (Q4815036) (← links)
- Approximation Bounds for Some Sparse Kernel Regression Algorithms (Q4815048) (← links)
- Bayesian Analysis of the Scatterometer Wind Retrieval Inverse Problem: Some New Approaches (Q4819018) (← links)
- (Q4969101) (← links)
- Sparse Online Variational Bayesian Regression (Q5052896) (← links)
- Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy (Q5052906) (← links)
- Adaptive‐optimal control under time‐varying stochastic uncertainty using past learning (Q5128863) (← links)
- Sparse Gaussian process with input noise for human pose estimation (Q5198115) (← links)
- Online Learning with (Multiple) Kernels: A Review (Q5327183) (← links)
- Online Learning of Single- and Multivalued Functions with an Infinite Mixture of Linear Experts (Q5378283) (← links)
- Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors (Q5423493) (← links)
