User contributions for J29zhou
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17 November 2011
- 09:4909:49, 17 November 2011 diff hist +2 f11Stat841proposal →By: Chen Wang; YuanHong Yu; Jia Zhou
- 09:4809:48, 17 November 2011 diff hist −84 f11Stat841proposal →By: Chen Wang; YuanHong Yu; Jia Zhou
10 November 2011
- 19:5219:52, 10 November 2011 diff hist +72 N File:Boosting1.jpg Train classifiers on the weighted samples and produce a final prediction current
- 19:4919:49, 10 November 2011 diff hist +1 stat841f11 →Boosting (Lecture: Nov. 10, 2011)
- 19:3919:39, 10 November 2011 diff hist +73 N File:Boosting.jpg Train classifiers on the weighted samples and produce a final prediction. current
- 19:3319:33, 10 November 2011 diff hist +26 stat841f11 →Boosting (Lecture: Nov. 10, 2011)
- 19:0619:06, 10 November 2011 diff hist +12 stat841f11 →Bagging
- 19:0119:01, 10 November 2011 diff hist +144 N File:P.jpg node impurity for two-class classification, as a function of the proportion p in class 2. Cross-entropy has been scaled to pass through(0.5,0.5) current
- 18:5718:57, 10 November 2011 diff hist +6 stat841f11 →Tree
- 18:5318:53, 10 November 2011 diff hist −5 stat841f11 →Tree
- 18:5018:50, 10 November 2011 diff hist +181 stat841f11 →Tree
- 18:2918:29, 10 November 2011 diff hist +7 stat841f11 →boosting algorithms:
8 November 2011
- 20:5220:52, 8 November 2011 diff hist +324 stat841f11 →Example: Penalty Function in Neural Network Model Selection
- 20:4320:43, 8 November 2011 diff hist +280 stat841f11 →Soft Margin SVM problem interpretation
- 20:3120:31, 8 November 2011 diff hist +2 stat841f11 →Soft Margin SVM derivation of dual
- 19:3919:39, 8 November 2011 diff hist +118 stat841f11 →Dual Supervised Principle Component Analysis
- 19:3519:35, 8 November 2011 diff hist −133 stat841f11 →SPCA
- 19:1119:11, 8 November 2011 diff hist +628 stat841f11 →Supervised Principle Components Analysis and Conventional PCA
- 18:1518:15, 8 November 2011 diff hist +141 stat841f11 →Hilbert-Schmidt Independence Criterion(HSIC)
- 17:4517:45, 8 November 2011 diff hist −507 stat841f11 →Hilbert Space Independence Criterion (HSIC)
- 17:4417:44, 8 November 2011 diff hist +985 stat841f11 →Metric Learning
- 17:4217:42, 8 November 2011 diff hist −431 stat841f11 →Hilbert Space Independence Criterion (HSIC)
- 17:3917:39, 8 November 2011 diff hist +2 stat841f11 →Hilbert Space Independence Criterion (HSIC)
- 17:3517:35, 8 November 2011 diff hist +6 stat841f11 →Hilbert Space Independence Criterion (HSIC)
- 17:3417:34, 8 November 2011 diff hist 0 stat841f11 →Hibert-Schmidt Independence Criterion
- 17:3217:32, 8 November 2011 diff hist +291 stat841f11 →Metric Learning
- 16:2516:25, 8 November 2011 diff hist +422 stat841f11 →Metric Learning
7 November 2011
- 02:1102:11, 7 November 2011 diff hist +390 stat841f11 →KKT Conditions
5 November 2011
- 19:5919:59, 5 November 2011 diff hist +3 stat841f11 →Case 1: Linearly Separable (Hard Margin)
- 19:1519:15, 5 November 2011 diff hist +141 stat841f11 →RBF Network Complexity Control
- 19:0119:01, 5 November 2011 diff hist +21 stat841f11 →RBF Network Complexity Control
2 November 2011
- 23:3923:39, 2 November 2011 diff hist +24 f11Stat841EditorSignUp No edit summary
19 October 2011
- 15:5515:55, 19 October 2011 diff hist +399 stat841f11 →Finding the Optimal Weights
- 15:4215:42, 19 October 2011 diff hist +27 stat841f11 →Perceptron Learning Algorithm (Lecture: Oct. 13, 2011)
15 October 2011
- 19:5119:51, 15 October 2011 diff hist +14 stat841f11 →Linear Regression
- 19:4919:49, 15 October 2011 diff hist +139 stat841f11 →Linear Regression
- 19:0819:08, 15 October 2011 diff hist +4 stat841f11 →Goals of FDA
- 19:0519:05, 15 October 2011 diff hist +345 stat841f11 →Goals of FDA
- 18:2218:22, 15 October 2011 diff hist +28 stat841f11 →Goals of FDA
- 18:0818:08, 15 October 2011 diff hist +284 stat841f11 No edit summary
3 October 2011
- 10:0410:04, 3 October 2011 diff hist +1 f11Stat841EditorSignUp No edit summary