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(newest | oldest) View (newer 50 | older 50) (20 | 50 | 100 | 250 | 500)- 06:15, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66050 of page Derivation of Bayes' Rule from Bayes' Theorem patrolled
- 06:15, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66049 of page From Bayes Theorem to Pattern Recognition via Bayes Rule patrolled
- 06:14, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66048 of page Derivation of Bayes rule Anonymous7 patrolled
- 06:14, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66047 of page Introduction to Bayes' Rule patrolled
- 06:14, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66046 of page Curse of Dimensionality Chinese patrolled
- 06:14, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66045 of page Curse of Dimensionality patrolled
- 06:13, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66044 of page Pca khalid patrolled
- 06:13, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66043 of page Kernel PCA patrolled
- 06:13, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66042 of page PCA Theory Examples patrolled
- 06:13, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66041 of page PCA patrolled
- 06:12, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66040 of page Generation of N-dimensional normally distributed random numbers from two categories with different priors patrolled
- 06:12, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66039 of page The principles for how to generate random samples from a Gaussian distribution patrolled
- 06:12, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66038 of page How to generate random n dimensional data from two categories with different priors slecture Minwoong Cho ECE662 Spring 2014 patrolled
- 06:12, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66037 of page How to generate random n dimensional data from two categories with different priors slecture Minwoong Kim ECE662 Spring 2014 patrolled
- 06:11, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66036 of page Generating random data with controlled prior probabilities slecture ECE662S14 Gheith patrolled
- 06:11, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66035 of page ECE662 Whitening and Coloring Transforms S14 MH patrolled
- 06:07, 15 May 2014 Rhea (Talk | contribs) automatically marked revision 66034 of page 2014 Spring ECE 662 Boutin Statistical Pattern recognition slectures patrolled
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- 15:49, 14 May 2014 Rhea (Talk | contribs) automatically marked revision 66017 of page Category:Slecture patrolled
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- 15:47, 14 May 2014 Rhea (Talk | contribs) automatically marked revision 66015 of page 2014 Spring ECE 662 Boutin Statistical Pattern recognition slectures patrolled
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- 15:37, 14 May 2014 Rhea (Talk | contribs) automatically marked revision 66008 of page Slecture kernelPCA of slecture review patrolled
- 15:35, 14 May 2014 Rhea (Talk | contribs) automatically marked revision 66007 of page PCA Theory Examples Comment patrolled
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- 15:32, 14 May 2014 Rhea (Talk | contribs) automatically marked revision 66005 of page PCA comments patrolled
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- 15:29, 14 May 2014 Rhea (Talk | contribs) automatically marked revision 66003 of page Generation of N-dimensional normally distributed random numbers from two categories with different priors review patrolled
- 15:27, 14 May 2014 Rhea (Talk | contribs) automatically marked revision 66002 of page 2014 Spring ECE 662 Boutin patrolled
- 15:26, 14 May 2014 Rhea (Talk | contribs) automatically marked revision 66001 of page Joonsoocomment patrolled
- 15:26, 14 May 2014 Rhea (Talk | contribs) automatically marked revision 66000 of page Joonsoocomment patrolled
- 15:25, 14 May 2014 Rhea (Talk | contribs) automatically marked revision 65999 of page Joonsoocomment patrolled
- 15:23, 14 May 2014 Rhea (Talk | contribs) automatically marked revision 65998 of page The principles for how to generate random samples from a Gaussian distribution patrolled