assignments:assignment4
Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision | Next revision Both sides next revision | ||
|
assignments:assignment4 [2016/09/30 10:23] asa |
assignments:assignment4 [2016/09/30 10:24] asa |
||
|---|---|---|---|
| Line 5: | Line 5: | ||
| Due: October 17th at 11:59pm | Due: October 17th at 11:59pm | ||
| - | ===== Part 1: SVM with no bias term ===== | + | ==== Part 1: SVM with no bias term ==== |
| Formulate a soft-margin SVM without the bias term, i.e. one where the discriminant function is equal to $\mathbf{w}^{T} \mathbf{x}$. | Formulate a soft-margin SVM without the bias term, i.e. one where the discriminant function is equal to $\mathbf{w}^{T} \mathbf{x}$. | ||
| Line 24: | Line 24: | ||
| - | ===== Part 3: Soft-margin SVM for separable data ===== | + | ==== Part 3: Soft-margin SVM for separable data ==== |
| 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 | ||
| Line 38: | Line 38: | ||
| Is this true or false? Explain! | Is this true or false? Explain! | ||
| - | ===== Part 4: Using SVMs ===== | + | ==== Part 4: Using SVMs ==== |
| The data for this question comes from a database called SCOP (structural | The data for this question comes from a database called SCOP (structural | ||
assignments/assignment4.txt ยท Last modified: 2016/10/11 18:16 by asa
Page Tools
Except where otherwise noted, content on this wiki is licensed under the following license: CC Attribution-Share Alike 4.0 International
