User contributions for Njmurdoc
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17 November 2009
- 01:0001:00, 17 November 2009 diff hist +2,093 stat841 →Optimizing The Support Vector Machine - November 16th, 2009(in progress)
- 00:3400:34, 17 November 2009 diff hist +1,217 stat841 →Adding Nov. 16th, just starting
- 00:1500:15, 17 November 2009 diff hist +96 stat841 →RBF Network for classification (A probabilistic point of view)
- 00:0900:09, 17 November 2009 diff hist −6 stat841 →RBF Network for classification (A probabilistic point of view): fixed y_k|x from x|y_k
13 November 2009
- 15:2615:26, 13 November 2009 diff hist 0 m stat841 →Introduction
- 15:2515:25, 13 November 2009 diff hist +8 m stat841 →Introduction: readability
- 15:2415:24, 13 November 2009 diff hist +243 stat841 →Introduction
- 15:1015:10, 13 November 2009 diff hist +231 stat841 →Introduction
11 November 2009
- 13:4313:43, 11 November 2009 diff hist +233 m stat841 →K-fold Cross-validation
8 November 2009
- 17:2917:29, 8 November 2009 diff hist +1 stat841 →Example of under and overfitting in R: fixed example values to match image.
- 17:2717:27, 8 November 2009 diff hist +1 m stat841 →Example of under and overfitting in R: wrong image
- 17:2617:26, 8 November 2009 diff hist +2,759 stat841 →Complexity Control - Nov 2, 2009
- 17:2417:24, 8 November 2009 diff hist +292 N File:Curvefitting-rex2.png 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 current
- 17:0117:01, 8 November 2009 diff hist +253 N File:Curvefitting-rex.png 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. current
- 15:5815:58, 8 November 2009 diff hist +42 stat841 →Complexity Control October 30, 2009
3 November 2009
- 12:2912:29, 3 November 2009 diff hist +20 m stat841 →Back-propagation
- 12:2312:23, 3 November 2009 diff hist +692 stat841 →Back-propagation: weight initialization
31 October 2009
- 02:0702:07, 31 October 2009 diff hist −1 m stat841 →Neural Networks (NN) - October 28, 2009: spelling
12 October 2009
- 19:1719:17, 12 October 2009 diff hist +285 stat841 →Example in R
- 19:1519:15, 12 October 2009 diff hist +244 stat841 →Example in R: adding comments to plot section.