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assignments:assignment4 [CS545 fall 2016]

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assignments:assignment4 [2016/10/03 10:00]
asa [Part 2: leave-one-out error for linearly separable data]
assignments:assignment4 [2016/10/05 11:41]
asa [Part 3: Soft-margin SVM for separable data]
Line 27: Line 27:
  
 Suppose you are given a linearly separable dataset, and you are training the soft-margin SVM, which uses slack variables with the soft-margin constant $C$ set  Suppose you are given a linearly separable dataset, and you are training the soft-margin SVM, which uses slack variables with the soft-margin constant $C$ set 
-with the soft margin constant $C$ set  
 to some positive value. to some positive value.
 Consider the following statement: Consider the following statement:
  
 Since increasing the $\xi_i$ can only increase the objective of the primal problem (which Since increasing the $\xi_i$ can only increase the objective of the primal problem (which
-we are trying to minimize), at the optimal ​solution to the primal problem, all the+we are trying to minimize), at the solution to the primal problem, all the
 training examples will have $\xi_i$ equal training examples will have $\xi_i$ equal
 to zero.  to zero. 
assignments/assignment4.txt ยท Last modified: 2016/10/11 18:16 by asa