INIS
prediction
100%
graphs
100%
crime
100%
resources
42%
cities
28%
allocations
28%
neural networks
28%
errors
28%
data
28%
decision making
28%
control
14%
chicago
14%
roots
14%
datasets
14%
values
14%
comparative evaluations
14%
theft
14%
topology
14%
randomness
14%
investigations
14%
vectors
14%
performance
14%
forests
14%
Earth and Planetary Sciences
Model
100%
Crime
100%
Police
36%
Memory
27%
Decision Making
18%
Metropolitan Area
18%
Average
18%
Show
9%
Citizen
9%
Vector
9%
Investigation
9%
Forest
9%
Data Set
9%
Gradient
9%
Root-Mean-Square Error
9%
Error
9%
Aspect
9%
Support
9%
Need
9%
Mathematics
Prediction
100%
Graph Model
100%
Convolutional Neural Network
25%
Absolute Error
25%
Mean Square Error
25%
Control
25%
Residuals
25%
Ridge Regression
25%
Autoregressive Integrated Moving Average
25%
Computer Science
Attention (Machine Learning)
100%
Long Short-Term Memory Network
33%
Extreme Gradient Boosting
22%
Prediction Framework
11%
Baseline Model
11%
Roles
11%
Topological Feature
11%
Convolutional Neural Network
11%
Memory Model
11%
Prevents
11%
Graph Convolutional Network
11%
Mean Absolute Error
11%
Random Decision Forest
11%
Hotspot
11%
External Feature
11%
Support Vector Regression
11%
Residual Neural Network
11%