Computer Science
Approximation (Algorithm)
100%
Training Data
100%
Neural Network
100%
Predictive Accuracy
50%
Noise Variance
50%
Computational Cost
50%
Parameter Estimation
50%
Small Fraction
50%
True Positive
40%
Threat Model
20%
Residual Neural Network
20%
Training Dataset
20%
False Positive
20%
Training Model
20%
Characteristic Curve
20%
Realistic Threat
20%
Differential Privacy
20%
Engineering
Nearest Neighbor
100%
Gaussians
100%
Accurate Prediction
66%
Robustness Property
33%
Noise Variance
33%
Computational Cost
33%
Parameter Estimation
33%
Estimated Parameter
33%
Additive Noise
33%
Earth and Planetary Sciences
Parameter Estimation
100%
State of the Art
100%
Kriging
100%
Locale
100%
