Classification 2 Flashcards
1
Q
Multiclass Classification
A
- train multiple binary classifiers, one distinguishing a class from all others
- Different weights and/or features per class
2
Q
Block Feature Vectors
A
- feature vector for each label (health, sports, …).
- each feature vector contains “sections” for each label
- weight vector is derived by combining all feature vectors
3
Q
Different Feature Equation
A
argmax yEY w T f(x,y)
4
Q
Different Weight Equation
A
argmax yEY (w y) T f(x,y)
5
Q
Making Decisions
A
wT = combined feature vectors
w T f(x,y) = argmax on weight
6
Q
A