Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Gaussian predictive process models for large spatial data sets
Gaussian Processes for Machine Learning
Gaussian Process Dynamical Models
Model Learning with Local Gaussian Process Regression
local gaussian process regression for real time online model learning .
Clustering Based on Gaussian Processes
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
DNN-based prediction model for spatio-temporal data
Gaussian Process Regression Networks
Variational Heteroscedastic Gaussian Process Regression
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Computationally efficient convolved multiple output gaussian processes
Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification
Bayesian classification with Gaussian processes
Hierarchical double Dirichlet process mixture of Gaussian processes
Parameter space exploration with Gaussian process trees
Approximate Bayesian inference in spatial environments
Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling
Overlapping Mixtures of Gaussian Processes for the Data Association Problem
Gaussian Process Clustering
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Learning Action Maps of Large Environments via First-Person Vision
matrix computations ( 3 . ed . ) .
Semantic networks of english
Special issue on advances in learning with label noise
Phosphate-a poison for humans?