Question: Again, assume that the function is f ( w , b , x ) = w T x + b . In the case of

Again, assume that the function is f(w, b, x)=
w
T x + b. In the case of SVM and Perceptrons, we saw the following two loss functions: Li(w, b)=
max(0,yif(w, b, xi)) for Perceptron and Li(w, b)= max(0,1 yif(w, b, xi)) for Hinge Loss (SVM).
Similar to question 1, let us see if the following loss functions are good choices.
(a) Li(w, b)= max(0,1 yif(w, b, xi))2
(b) Li(w, b)=[yi f(w, b, xi
]
4
(c) Li(w, b)= exp[f(w, b, xi) yi
]
(d) Li(w, b)= exp[yif(w, b, xi)]

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