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assignments:assignment4 [CS545 fall 2016]

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assignments:assignment4 [2016/09/30 11:26]
asa [Submission]
assignments:assignment4 [2016/10/03 10:00]
asa [Part 2: leave-one-out error for linearly separable data]
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   * Consider the following statement: ​ The set of all key support vectors is unique. ​ Prove this, or show a counter-example.   * Consider the following statement: ​ The set of all key support vectors is unique. ​ Prove this, or show a counter-example.
-  * Using the definition of key support vectors prove a tighter bound on the leave-one-out cross validation error: ​+  * In class we argued that the fraction of examples that are support vectors provide a bound on the leave-one-out error.  ​Using the definition of key support vectors prove a tighter bound on the leave-one-out cross validation error can be obtained
 $$ $$
 E_{cv} \leq \frac{\textrm{number of key support vectors}}{N},​ E_{cv} \leq \frac{\textrm{number of key support vectors}}{N},​
assignments/assignment4.txt ยท Last modified: 2016/10/11 18:16 by asa