File list
Jump to navigation
Jump to search
This special page shows all uploaded files.
| Date | Name | Thumbnail | Size | User | Description | Versions |
|---|---|---|---|---|---|---|
| 12:56, 18 October 2009 | Linearregression.png (file) |  |
9 KB | W66li | a linear regression example in matlab | 2 |
| 22:40, 19 October 2009 | Boundary-lr.png (file) |  |
10 KB | W66li | 1 | |
| 22:51, 19 October 2009 | Boundary-lda.png (file) |  |
10 KB | W66li | 2 | |
| 17:24, 23 October 2009 | Misclass.png (file) |  |
86 KB | S3bernar | 1 | |
| 17:25, 23 October 2009 | Model.png (file) |  |
57 KB | S3bernar | 1 | |
| 18:56, 23 October 2009 | Distance.png (file) |  |
93 KB | S3bernar | 3 | |
| 18:58, 23 October 2009 | Distance2.jpg (file) |  |
25 KB | S3bernar | 1 | |
| 15:38, 25 October 2009 | Simpleperceptron.jpg (file) |  |
8 KB | Mzerter | 4 | |
| 17:00, 28 October 2009 | NN.png (file) |  |
51 KB | Ipargaru | General Structure of a Neural Network | 1 |
| 17:29, 28 October 2009 | Signfunc1.png (file) |  |
600 bytes | Ipargaru | Sign funciton, plus or minus | 1 |
| 17:30, 28 October 2009 | Signfunc2.png (file) |  |
2 KB | Ipargaru | Sign function, smooth and continuous | 1 |
| 17:42, 28 October 2009 | Signfuncperceptron.png (file) |  |
41 KB | Ipargaru | 1 | |
| 18:31, 28 October 2009 | Backpropagation.png (file) |  |
93 KB | Ipargaru | 1 | |
| 19:27, 28 October 2009 | Propagationhidden.png (file) |  |
120 KB | Ipargaru | 1 | |
| 03:21, 2 November 2009 | NN-bottelneck.png (file) |  |
10 KB | Mderakhs | 1 | |
| 21:07, 4 November 2009 | Cross-validation.png (file) |  |
9 KB | H23he | 1 | |
| 21:45, 4 November 2009 | K-fold.png (file) |  |
21 KB | H23he | 1 | |
| 23:07, 4 November 2009 | Figure 2.png (file) |  |
4 KB | H23he | 1 | |
| 00:39, 5 November 2009 | Family of polynomials.jpg (file) |  |
17 KB | Jikarel | 1 | |
| 00:54, 5 November 2009 | Prediction Error.jpg (file) |  |
24 KB | Jikarel | 1 | |
| 02:02, 5 November 2009 | Cv.jpg (file) |  |
4 KB | Jikarel | 1 | |
| 16:07, 6 November 2009 | Overfitting-model.png (file) |  |
5 KB | Mderakhs | num_points=20; amp=30; error_amp=15; x=unique(amp*rand(num_points,1)); num_points=size(x,1); e=error_amp*rand(num_points,1)-error_amp/2; y=2*x+e; n=10; p = polyfit(x,y,n); newx=[0:amp]; newy=polyval(p,newx); hold off; plot(x,y,'*','MarkerEdgeColor','k'); | 3 |
| 17:01, 8 November 2009 | Curvefitting-rex.png (file) |  |
10 KB | Njmurdoc | Fitting degree 1, 2, and 10 polynomials to a randomly generated sample. Black points represent training data, teal represent test data. Y values follow the same function, but x values of training and test data have means 0 and 1 to help separate them. | 1 |
| 17:24, 8 November 2009 | Curvefitting-rex2.png (file) |  |
11 KB | Njmurdoc | Fitting degree 1, 2, and 10 polynomials, and trigonometric functions to a randomly generated quadratic sample. Black points represent training data, teal represent test data. Y values follow the same function, but x values of training and test data have | 1 |
| 13:09, 9 November 2009 | Rbf graphical model.png (file) |  |
4 KB | Dsaraph | 1 | |
| 00:55, 10 November 2009 | Rbf net.png (file) |  |
4 KB | Dsaraph | 1 | |
| 02:41, 12 November 2009 | Overfitting.png (file) |  |
4 KB | M12chen | Reverted to version as of 06:39, 12 November 2009 | 4 |
| 15:20, 12 November 2009 | Bias.jpg (file) |  |
6 KB | Mzerter | Reverted to version as of 19:19, 12 November 2009 | 4 |
| 23:08, 12 November 2009 | RBF.png (file) |  |
12 KB | M12chen | 1 | |
| 23:45, 13 November 2009 | MSE vs err.jpg (file) |  |
16 KB | Zhwu | MSE_vs_err | 1 |
| 15:18, 14 November 2009 | 28.2.jpg (file) |  |
19 KB | Zhwu | Figure 28.2 | 1 |
| 02:41, 15 November 2009 | The linear algebra of a hyperplane.jpg (file) |  |
22 KB | Zhwu | 28.3 The linear algebra of a hyperplane | 1 |
| 03:42, 15 November 2009 | 28.1.jpg (file) |  |
20 KB | Zhwu | 1 | |
| 00:10, 19 November 2009 | 28.4.jpg (file) |  |
22 KB | Zhwu | 2 | |
| 00:11, 19 November 2009 | 28.3.jpg (file) |  |
20 KB | Zhwu | 1 | |
| 00:14, 19 November 2009 | 4.jpg (file) |  |
22 KB | Zhwu | 1 | |
| 20:29, 19 November 2009 | Svm1.png (file) |  |
8 KB | Tbekolay | 1 | |
| 20:29, 19 November 2009 | Svm2.png (file) |  |
12 KB | Tbekolay | 1 | |
| 01:13, 20 November 2009 | 27.1.jpg (file) |  |
20 KB | Y2yao | this data is SPECT Heart data from http://archive.ics.uci.edu/ml/ | 1 |
| 10:22, 23 November 2009 | Non-separable.JPG (file) |  |
10 KB | H23he | 1 | |
| 00:42, 26 November 2009 | AF.jpg (file) |  |
14 KB | Zhwu | 1 | |
| 17:19, 26 November 2009 | Point 3d.png (file) |  |
21 KB | Njmurdoc | A point moving in 3d space can easily escape a 2d prison (shown in red). | 1 |
| 17:20, 26 November 2009 | Point 2d.png (file) |  |
13 KB | Njmurdoc | In 2 dimensions, a point is trapped by a rectangle (shown in red). | 1 |
| 17:35, 26 November 2009 | Unsep.png (file) |  |
38 KB | Njmurdoc | A set of points in 2d which no hyperplane can separate with good accuracy. | 1 |
| 17:40, 26 November 2009 | Sep2.png (file) |  |
37 KB | Njmurdoc | A simple transformation to Euclidean distance from the origin, and it is possible to put a hyperplane through the data that separates it perfectly into two classes. | 1 |
| 22:36, 3 December 2009 | Case1.jpg (file) |  |
16 KB | Zhwu | 1 | |
| 23:41, 3 December 2009 | Graph.jpg (file) |  |
21 KB | Zhwu | 1 | |
| 22:18, 9 September 2010 | Imbox notice.png (file) |  |
3 KB | WikiSysop | 1 | |
| 22:18, 9 September 2010 | Template-info.svg (file) |  |
24 KB | WikiSysop | 1 | |
| 08:51, 10 September 2010 | Imbox content.png (file) |  |
3 KB | WikiSysop | 1 |
