Question

Suppose we want to add a regularizer to the linear regression loss function, to control the magnitudes of the weights β. We have a choice between Ω1(β)=Σpi=1|β| and Ω2(β)=Σpi=1β2 Which one is more likely to result in sparse weights?

a.Ω1

b.Ω2

c.Both Ω1 and Ω2 will result in sparse weights

d.Neither of Ω1 or Ω2 can result in sparse weights

Answer 1

Answer:

If you need more room to work out your answer to a question, use the back of ... model complexity and reduce the possibility of overfitting. ... lα,β(f(x),y) = α1{f(x)=1,y = 0} + β1{f (x)=0,y = 1}.