---

input (aspect of neural network) → ReceivesAction → normalized	0.74
value → ReceivesAction → normalized	0.66
value (aspect of expression) → ReceivesAction → normalized	0.63
score → ReceivesAction → normalized	0.61
value (aspect of parameter) → ReceivesAction → normalized	0.60
value (aspect of function) → ReceivesAction → normalized	0.59
expression → ReceivesAction → normalized	0.58
variable → ReceivesAction → normalized	0.56
data → ReceivesAction → normalized	0.56
parameter → ReceivesAction → normalized	0.53
table (aspect of database) → ReceivesAction → normalized	0.52
vector → ReceivesAction → normalized	0.52
value (aspect of measure) → ReceivesAction → normalized	0.49
curve → ReceivesAction → normalized	0.48
value (aspect of variable) → ReceivesAction → normalized	0.48
distribution → ReceivesAction → normalized	0.45
grade → ReceivesAction → normalized	0.44
output → ReceivesAction → normalized	0.43
value (aspect of color) → ReceivesAction → normalized	0.43
address → ReceivesAction → normalized	0.43
amplitude → ReceivesAction → normalized	0.39
count → ReceivesAction → normalized	0.38
number (aspect of sequence) → ReceivesAction → normalized	0.37
matrix → ReceivesAction → normalized	0.33
mark → ReceivesAction → normalized	0.31
audio → ReceivesAction → normalized	0.31
coordinate → ReceivesAction → normalized	0.31
sequence → ReceivesAction → normalized	0.29
hearing → ReceivesAction → normalized	0.28
racism → ReceivesAction → normalized	0.28
blood pressure → ReceivesAction → normalized	0.27
name → ReceivesAction → normalized	0.27
behavior → ReceivesAction → normalized	0.26
sexual harassment → ReceivesAction → normalized	0.26
frequency → ReceivesAction → normalized	0.25
value (aspect of property) → ReceivesAction → normalized	0.25
relationship (aspect of table) → ReceivesAction → normalized	0.25
marijuana → ReceivesAction → normalized	0.18