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- 07:58, 11 April 2013 (diff | hist) . . (+88) . . Lecture 6 - Discriminant Functions OldKiwi
- 07:57, 11 April 2013 (diff | hist) . . (+88) . . Lecture 7 - MLE and BPE OldKiwi
- 07:57, 11 April 2013 (diff | hist) . . (+88) . . Lecture 8 - MLE, BPE and Linear Discriminant Functions OldKiwi
- 07:57, 11 April 2013 (diff | hist) . . (+88) . . Lecture 9 - Linear Discriminant Functions OldKiwi
- 07:57, 11 April 2013 (diff | hist) . . (+88) . . Lecture 10 - Batch Perceptron and Fisher Linear Discriminant OldKiwi
- 07:56, 11 April 2013 (diff | hist) . . (+88) . . Lecture 11 - Fischer's Linear Discriminant again OldKiwi
- 07:56, 11 April 2013 (diff | hist) . . (+88) . . Lecture 12 - Support Vector Machine and Quadratic Optimization Problem OldKiwi
- 07:56, 11 April 2013 (diff | hist) . . (+88) . . Lecture 13 - Kernel function for SVMs and ANNs introduction OldKiwi
- 07:56, 11 April 2013 (diff | hist) . . (+88) . . Lecture 14 - ANNs, Non-parametric Density Estimation (Parzen Window) OldKiwi
- 07:56, 11 April 2013 (diff | hist) . . (+88) . . Lecture 15 - Parzen Window Method OldKiwi
- 07:55, 11 April 2013 (diff | hist) . . (+88) . . Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate OldKiwi
- 07:55, 11 April 2013 (diff | hist) . . (+88) . . Lecture 17 - Nearest Neighbors Clarification Rule and Metrics OldKiwi
- 07:55, 11 April 2013 (diff | hist) . . (+88) . . Lecture 18 - Nearest Neighbors Clarification Rule and Metrics(Continued) OldKiwi
- 07:55, 11 April 2013 (diff | hist) . . (+88) . . Lecture 19 - Nearest Neighbor Error Rates OldKiwi
- 07:54, 11 April 2013 (diff | hist) . . (+88) . . Lecture 20 - Density Estimation using Series Expansion and Decision Trees OldKiwi
- 07:54, 11 April 2013 (diff | hist) . . (-8) . . Lecture 2 - Decision Hypersurfaces OldKiwi
- 05:48, 11 April 2013 (diff | hist) . . (+88) . . Lecture 21 - Decision Trees(Continued) OldKiwi
- 05:48, 11 April 2013 (diff | hist) . . (+88) . . Lecture 22 - Decision Trees and Clustering OldKiwi
- 05:48, 11 April 2013 (diff | hist) . . (+88) . . Lecture 23 - Spanning Trees OldKiwi
- 05:47, 11 April 2013 (diff | hist) . . (+88) . . Lecture 24 - Clustering and Hierarchical Clustering OldKiwi
- 05:47, 11 April 2013 (diff | hist) . . (+88) . . Lecture 25 - Clustering Algorithms OldKiwi
- 05:46, 11 April 2013 (diff | hist) . . (+88) . . Lecture 26 - Statistical Clustering Methods OldKiwi
- 05:46, 11 April 2013 (diff | hist) . . (-1) . . Lecture 27 - Clustering by finding valleys of densities OldKiwi
- 05:46, 11 April 2013 (diff | hist) . . (+89) . . Lecture 27 - Clustering by finding valleys of densities OldKiwi
- 05:45, 11 April 2013 (diff | hist) . . (+239) . . Lecture 28 - Final lecture OldKiwi
- 05:44, 11 April 2013 (diff | hist) . . (+96) . . Lecture 2 - Decision Hypersurfaces OldKiwi
- 05:44, 11 April 2013 (diff | hist) . . (+88) . . Lecture 1 - Introduction OldKiwi
- 05:43, 11 April 2013 (diff | hist) . . (+131) . . ECE662 Pattern Recognition Decision Making Processes Spring2008 sLecture collective
- 05:42, 11 April 2013 (diff | hist) . . (+99) . . Lecture 27 - Clustering by finding valleys of densities OldKiwi
- 12:14, 10 April 2013 (diff | hist) . . (+56) . . Lecture 28 - Final lecture OldKiwi
- 12:13, 10 April 2013 (diff | hist) . . (+107) . . Lecture 27 - Clustering by finding valleys of densities OldKiwi
- 12:13, 10 April 2013 (diff | hist) . . (+104) . . Lecture 26 - Statistical Clustering Methods OldKiwi
- 12:12, 10 April 2013 (diff | hist) . . (+55) . . Lecture 25 - Clustering Algorithms OldKiwi
- 12:12, 10 April 2013 (diff | hist) . . (+55) . . Lecture 24 - Clustering and Hierarchical Clustering OldKiwi
- 12:12, 10 April 2013 (diff | hist) . . (+55) . . Lecture 23 - Spanning Trees OldKiwi
- 12:11, 10 April 2013 (diff | hist) . . (+55) . . Lecture 22 - Decision Trees and Clustering OldKiwi
- 12:11, 10 April 2013 (diff | hist) . . (+55) . . Lecture 21 - Decision Trees(Continued) OldKiwi
- 12:10, 10 April 2013 (diff | hist) . . (+55) . . Lecture 20 - Density Estimation using Series Expansion and Decision Trees OldKiwi
- 12:10, 10 April 2013 (diff | hist) . . (+55) . . Lecture 19 - Nearest Neighbor Error Rates OldKiwi
- 12:09, 10 April 2013 (diff | hist) . . (+55) . . Lecture 18 - Nearest Neighbors Clarification Rule and Metrics(Continued) OldKiwi
- 12:09, 10 April 2013 (diff | hist) . . (+55) . . Lecture 17 - Nearest Neighbors Clarification Rule and Metrics OldKiwi
- 12:09, 10 April 2013 (diff | hist) . . (+55) . . Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate OldKiwi
- 12:09, 10 April 2013 (diff | hist) . . (+55) . . Lecture 15 - Parzen Window Method OldKiwi
- 12:08, 10 April 2013 (diff | hist) . . (+34) . . Lecture 14 - ANNs, Non-parametric Density Estimation (Parzen Window) OldKiwi
- 12:08, 10 April 2013 (diff | hist) . . (+55) . . Lecture 13 - Kernel function for SVMs and ANNs introduction OldKiwi
- 12:08, 10 April 2013 (diff | hist) . . (+55) . . Lecture 12 - Support Vector Machine and Quadratic Optimization Problem OldKiwi
- 12:07, 10 April 2013 (diff | hist) . . (+55) . . Lecture 11 - Fischer's Linear Discriminant again OldKiwi
- 12:07, 10 April 2013 (diff | hist) . . (+55) . . Lecture 10 - Batch Perceptron and Fisher Linear Discriminant OldKiwi
- 12:07, 10 April 2013 (diff | hist) . . (+55) . . Lecture 9 - Linear Discriminant Functions OldKiwi
- 12:07, 10 April 2013 (diff | hist) . . (+55) . . Lecture 8 - MLE, BPE and Linear Discriminant Functions OldKiwi
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