User contributions for Pfewzee
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10 December 2010
- 21:5021:50, 10 December 2010 diff hist +1,070 stat841f10 →Fisher's (Linear) Discriminant Analysis (FDA) - Multi-Class Problem - October 7, 2010
- 21:2021:20, 10 December 2010 diff hist +1,705 stat841f10 →Linear and Logistic Regression - October 12, 2010
- 18:0318:03, 10 December 2010 diff hist +1,053 stat841f10 →Radial Basis Function (RBF) Network - October 28, 2010
- 14:4314:43, 10 December 2010 diff hist +668 stat841f10 →Perceptron in Action
- 14:3414:34, 10 December 2010 diff hist −1 stat841f10 →Perceptron in Action
- 14:3314:33, 10 December 2010 diff hist +301 stat841f10 →Further Reading for Perceptron
- 14:2114:21, 10 December 2010 diff hist +1,491 stat841f10 →References
- 14:0714:07, 10 December 2010 diff hist +113 stat841f10 →Decision Theory
- 14:0414:04, 10 December 2010 diff hist +2,030 stat841f10 →Bayes Classifier
- 00:2100:21, 10 December 2010 diff hist −3 stat841f10 →Other Alternatives for NN Regularization
- 00:2000:20, 10 December 2010 diff hist +582 stat841f10 →Regularization invariant under transformation
- 00:0300:03, 10 December 2010 diff hist +1,377 stat841f10 →Further reading on the Kernel Trick
9 December 2010
8 December 2010
- 18:3818:38, 8 December 2010 diff hist +2,739 stat841f10 →Decision Trees
- 18:0018:00, 8 December 2010 diff hist +1,827 stat841f10 →Supervised PCA - December 3, 2010
- 17:3417:34, 8 December 2010 diff hist +68 N File:012DR-SPCA.jpg Zeros, Ones, and Twos. Dimensionality Reduction Using Supervised PCA current
- 17:3317:33, 8 December 2010 diff hist +56 N File:012DR-PCA.jpg Zeros, Ones and Twos. Dimensionality Reduction Using PCA current
- 17:2117:21, 8 December 2010 diff hist −1 stat841f10 →Supervised PCA - December 3, 2010
- 15:5215:52, 8 December 2010 diff hist +1,438 stat841f10 →Supervised PCA - December 3, 2010
- 14:5814:58, 8 December 2010 diff hist +41 stat841f10 →Project Presentations - November 23, 2010
18 November 2010
- 09:3009:30, 18 November 2010 diff hist +57 stat841f10 →Introduction
- 09:2509:25, 18 November 2010 diff hist −9 stat841f10 →Support Vector Machines as a Regression Technique
- 09:2209:22, 18 November 2010 diff hist +1,405 stat841f10 →Example in Matlab
- 08:4108:41, 18 November 2010 diff hist −56 sign up for your presentation →Set A
17 November 2010
- 08:2108:21, 17 November 2010 diff hist +1,345 stat841f10 →Applications of Support Vector Machines
9 November 2010
- 18:5518:55, 9 November 2010 diff hist −14 discLDA: Discriminative Learning for Dimensionality Reduction and Classification No edit summary
- 18:5418:54, 9 November 2010 diff hist +9 discLDA: Discriminative Learning for Dimensionality Reduction and Classification No edit summary
6 November 2010
- 18:4318:43, 6 November 2010 diff hist −6 stat841f10 →Feed-Forward Neural Network
- 18:3118:31, 6 November 2010 diff hist +534 stat841f10 →Alternative Description of the Back-Propagation Algorithm
- 18:1918:19, 6 November 2010 diff hist −79 stat841f10 →Back-Propagation Learning Algorithm
- 18:1718:17, 6 November 2010 diff hist +293 stat841f10 →Back-Propagation Learning Algorithm
- 18:0418:04, 6 November 2010 diff hist +17 schedule of Project Presentations No edit summary
2 November 2010
- 16:2716:27, 2 November 2010 diff hist +56 sign up for your presentation No edit summary
30 October 2010
- 14:2614:26, 30 October 2010 diff hist +2 stat841f10 →Mathematical Model of the FFNN with One Hidden Layer
29 October 2010
- 23:3723:37, 29 October 2010 diff hist +204 stat841f10 →Mathematical Model of the FFNN with One Hidden Layer
- 23:3423:34, 29 October 2010 diff hist −2 stat841f10 →References
- 23:3323:33, 29 October 2010 diff hist 0 stat841f10 /* Difficulties of training deep architecture H.~Larochelle, Y.~Bengio, J.~Louradour, P.~Lamblin, Exploring Strategies for Training Deep Neural Networks [http://jmlr.csail.mit.edu/papers/volume10/larochelle09a/larochelle09a.pdf], year = 2009, Journal
- 23:3223:32, 29 October 2010 diff hist −200 stat841f10 /* Difficulties of training deep architecture Cite journal | title = Exploring Strategies for Training Deep Neural Networks | url = http://jmlr.csail.mit.edu/papers/volume10/larochelle09a/larochelle09a.pdf | year = 2009 | journal = Journal of Machine
- 23:1023:10, 29 October 2010 diff hist 0 stat841f10 →References
- 23:0623:06, 29 October 2010 diff hist +34 stat841f10 →Business Applications of Neural Networks
- 23:0623:06, 29 October 2010 diff hist −4 stat841f10 /* Difficulties of training deep architecture {{Cite journal | title = Exploring Strategies for Training Deep Neural Networks | url = http://jmlr.csail.mit.edu/papers/volume10/larochelle09a/larochelle09a.pdf | year = 2009 | journal = Journal of Machi
- 22:5522:55, 29 October 2010 diff hist −34 stat841f10 →References
- 22:5422:54, 29 October 2010 diff hist −151 stat841f10 →Deep Neural Network
- 22:3322:33, 29 October 2010 diff hist +252 stat841f10 →Mathematical Model of the FFNN with One Hidden Layer
- 22:2022:20, 29 October 2010 diff hist 0 stat841f10 →Mathematical Model of the FFNN with One Hidden Layer
- 22:1922:19, 29 October 2010 diff hist +82 stat841f10 →Mathematical Model of the FFNN with One Hidden Layer
28 October 2010
- 23:1923:19, 28 October 2010 diff hist −122 proposal Fall 2010 →Project 3 : Hierarchical Locally Linear Classification
- 23:1823:18, 28 October 2010 diff hist +1 proposal Fall 2010 No edit summary
- 23:1723:17, 28 October 2010 diff hist +1 proposal Fall 2010 No edit summary
- 23:1623:16, 28 October 2010 diff hist +1,371 proposal Fall 2010 No edit summary