Keyphrases
Machine Learning Prediction
100%
Reliability-based
100%
Sampling Distance
100%
Distance Evaluation
100%
Feature Decorrelation
100%
Reliability Prediction
100%
Machine Learning Models
75%
Uncertainty Quantification
75%
Materials Science
50%
Feature Space
50%
Small Dataset
50%
Similarity-based
25%
Computationally Efficient
25%
Black Box
25%
Prediction Accuracy
25%
Machine Learning Techniques
25%
Training Model
25%
Spacing Distance
25%
K-nearest Neighbor (K-NN)
25%
Metric Basis
25%
Average Distance
25%
Prediction Error
25%
Decorrelation
25%
Machine Learning Learning
25%
Effective Separation
25%
Lack of Understanding
25%
Sampling Density
25%
Space Sampling
25%
Least Squares Support Vector Regression (LSSVR)
25%
Quantification Tool
25%
Lack of Transparency
25%
Similarity Evaluation
25%
Predicted Data
25%
Quality Prediction
25%
Gram-Schmidt Orthogonalization
25%
Learning Methods
25%
Prediction Machines
25%
Dataset Design
25%
Engineering
Reliability Prediction
100%
Decorrelation
100%
Uncertainty Quantification
100%
Similarities
66%
Data Point
66%
Metrics
66%
Feature Space
66%
Nearest Neighbor
33%
Machine Learning Method
33%
Black Box
33%
Generality
33%
Prediction Error
33%
Target System
33%
Sampling Density
33%
Gram-Schmidt Orthogonalization
33%
Mathematics
Distance Sampling
100%
Uncertainty Quantification
100%
Data Point
66%
Feature Space
66%
Wide Variety
33%
Nearest Neighbor
33%
Apply It
33%
Prediction Error
33%
Regression Model
33%
Generality
33%
Black Box
33%
Support Vector Machine
33%
Target System
33%
Prediction Quality
33%
Gram-Schmidt Orthogonalization
33%
Computer Science
Machine Learning
100%
Reliability Prediction
100%
Feature Space
22%
Small Data Set
22%
Prediction Accuracy
11%
Target System
11%
Training Model
11%
Support Vector Regression
11%
Prediction Error
11%
Sampling Density
11%
Orthogonalization
11%