Mathematics
Kriging
100%
Covariance Function
79%
Deep Neural Network
59%
Covariance
59%
Time Process
59%
Statistical Method
59%
Matrix Operation
59%
Bivariate
59%
Convolutional Neural Network
59%
Gaussian Process
49%
Parameter Estimation
29%
Gaussian Distribution
29%
Selection Mechanism
29%
Stationarity
19%
Parametric
19%
Missing Value
19%
Quantile
19%
Covariance Structure
19%
Loss Function
19%
Future Observation
19%
Stationary Gaussian Process
19%
Basis Function
19%
Computer Science
Covariance Function
79%
Environmental Scale
59%
Runtime Support
59%
Approximation (Algorithm)
59%
Approximated Matrix
59%
Covariance Matrix
59%
Mathematical Structure
59%
Double Precision
59%
Deep Neural Network
59%
Convolutional Neural Network
59%
Gaussian Process
40%
Long Short-Term Memory Network
40%
Partitioning Technique
29%
Parameter Estimation
29%
Driven Approach
29%
Spatiotemporal Interpolation
19%
Large Data Set
19%
Basis Function
19%
World Application
19%
Asked Participant
19%
Keyphrases
Defined Approach
29%
A64FX
19%
Expected Accuracy
19%
Rank Computation
19%
Algebraic Approximation
19%
Low-precision Computation
19%
PM2.5 Data
19%
Missing Value Imputation
19%
Holistic Process
19%
Stationary Spacetimes
19%
Data Collection Technology
19%
Worldwide Analysis
19%
Spatial-temporal Process
19%
Classical Statistical Methods
19%
Nonstationary Spatial Process
19%
