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
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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
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3
Q

Different Feature Equation

A

argmax yEY w T f(x,y)

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4
Q

Different Weight Equation

A

argmax yEY (w y) T f(x,y)

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5
Q

Making Decisions

A

wT = combined feature vectors
w T f(x,y) = argmax on weight

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6
Q
A
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