User contributions for Njmurdoc
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17 November 2009
- 23:5923:59, 17 November 2009 diff hist +457 stat841 →Maximizing the Support Vector Machine
- 12:4512:45, 17 November 2009 diff hist 0 m stat841 →Regularization for Neural Network — Weight Decay: w -> u fix
- 01:0801:08, 17 November 2009 diff hist +7 m stat841 →Maximizing the Support Vector Machine
- 01:0701:07, 17 November 2009 diff hist +7 m stat841 →Maximizing the Support Vector Machine: missing </math>
- 01:0601:06, 17 November 2009 diff hist +2 m stat841 →Optimizing The Support Vector Machine - November 16th, 2009(in progress)
- 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