Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
|
courses:rg:2012:distributed-perceptron [2012/12/16 17:37] machacek |
courses:rg:2012:distributed-perceptron [2012/12/16 21:34] machacek |
||
|---|---|---|---|
| Line 2: | Line 2: | ||
| ===== Presentation ===== | ===== Presentation ===== | ||
| + | |||
| + | ==== 3 Structured Perceptron ==== | ||
| + | |||
| + | * In unstructured perceptron, you are trying to separate two sets with hyperplane. See Question 1 for algorithm. In training phase, you iterate your training data and adjust the hyperplane every time you make a mistake. [[http:// | ||
| + | |||
| + | ==== 4 Distributed Structured Perceptron ==== | ||
| + | |||
| + | * Motivation: There is no straightforward way to make the standard perceptron algorithm parallel. | ||
| + | |||
| + | === 4.1 Parameter Mixing === | ||
| + | |||
| + | === 4.2 Iterative Parameter Mixing === | ||
| + | |||
| + | ==== 5 Experiments ==== | ||
| + | |||
| Line 41: | Line 56: | ||
| w = [0, 0.6] | w = [0, 0.6] | ||
| + | |||
| + | | ||
| ==== Question 2 ==== | ==== Question 2 ==== | ||