The weak classifier( a summary) Function f is a straight line V=mutC By definition a weak classifier or should be slightly better than a V-mu=c random choice(probability of correct classifcation =0.5) Gradient ml Otherwise you should use a dice! In lu, v]space, the decision V-mu>c function f: (v-mu =c is a straight V-mu<c line defined by m, c 0,0)u1 Adaboost, VgaThe weak classifier (a summary) • By definition a weak classifier should be slightly better than a random choice (probability of correct classifcation =0.5) . Otherwise you should use a dice! • In [u,v] space, the decision function f : (v-mu)=c is a straight line defined by m,c. Adaboost , V9a 10 Function f is a straight line v c Gradient m (0,0) v-mu<c v-mu>c u v=mu+c or v-mu=c