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10 November 2010
- 12:1612:16, 10 November 2010 diff hist −2 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 12:1512:15, 10 November 2010 diff hist +237 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Semidefinite relaxation
- 11:5411:54, 10 November 2010 diff hist +390 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Introduction
- 11:4111:41, 10 November 2010 diff hist +181 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Introduction
9 November 2010
- 21:2421:24, 9 November 2010 diff hist +129 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Regularization
- 21:2121:21, 9 November 2010 diff hist +238 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Regularization
- 21:0621:06, 9 November 2010 diff hist +58 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Application o sparse PCA
- 21:0521:05, 9 November 2010 diff hist +74 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Application o sparse PCA
- 21:0421:04, 9 November 2010 diff hist +277 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Application o sparse PCA
- 20:5520:55, 9 November 2010 diff hist +201 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Application o sparse PCA
- 20:4620:46, 9 November 2010 diff hist −136 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Semidefinite relaxation
- 20:4420:44, 9 November 2010 diff hist 0 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Robustness interpretation
- 20:4220:42, 9 November 2010 diff hist −198 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Robustness interpretation
- 20:4020:40, 9 November 2010 diff hist −56 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Sparse decomposition
- 20:3920:39, 9 November 2010 diff hist +302 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Application o sparse PCA
- 20:2720:27, 9 November 2010 diff hist +135 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Smoothing technique
- 20:1820:18, 9 November 2010 diff hist +276 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Sparse decomposition
- 20:1120:11, 9 November 2010 diff hist +3 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 20:1020:10, 9 November 2010 diff hist +117 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 20:0820:08, 9 November 2010 diff hist +1,536 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 19:2219:22, 9 November 2010 diff hist +252 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 19:1519:15, 9 November 2010 diff hist +254 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 18:5318:53, 9 November 2010 diff hist +152 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 18:4818:48, 9 November 2010 diff hist +1 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 18:4718:47, 9 November 2010 diff hist +25 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 18:4718:47, 9 November 2010 diff hist +1,991 N a Direct Formulation For Sparse PCA Using Semidefinite Programming Created page with "Principle Component analysis is a popular technique which finds a transformation from correlated variables to uncorrelated ones. In sparse PCA, the embedded variables are called ..."
- 18:4218:42, 9 November 2010 diff hist +142 paper Summaries No edit summary
- 11:1311:13, 9 November 2010 diff hist +68 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis →Penalized Matrix Decomposition
8 November 2010
- 18:1518:15, 8 November 2010 diff hist +159 stat841f10 →Stein's unbiased risk estimate (SURE)
- 17:5717:57, 8 November 2010 diff hist −5 stat841f10 →Stein's unbiased risk estimate (SURE)
- 17:5417:54, 8 November 2010 diff hist +457 stat841f10 →Stein's unbiased risk estimate (SURE)
- 17:5017:50, 8 November 2010 diff hist +490 stat841f10 →Stein's unbiased risk estimate (SURE)
- 16:1416:14, 8 November 2010 diff hist −51 stat841f10 →Weight decay
- 16:0616:06, 8 November 2010 diff hist +15 stat841f10 →Weight decay
- 16:0016:00, 8 November 2010 diff hist +868 stat841f10 →Weight decay
- 15:4715:47, 8 November 2010 diff hist +514 stat841f10 →Regularization for Neural Network - November 4, 2010
- 15:4015:40, 8 November 2010 diff hist +260 stat841f10 →Regularization for Neural Network - November 4, 2010
- 15:2815:28, 8 November 2010 diff hist −3,756 stat841f10 →Regularization for Neural Network - November 4, 2010
- 14:0214:02, 8 November 2010 diff hist 0 stat841f10 →Leave-One-Out Cross-Validation - October 28, 2010
- 13:5813:58, 8 November 2010 diff hist −4 stat841f10 →Derivation of the first Principle Component
- 13:5613:56, 8 November 2010 diff hist +83 stat841f10 →Principal Components of handwritten digits
- 13:5413:54, 8 November 2010 diff hist +919 stat841f10 →Leave-One-Out Cross-Validation - October 28, 2010
- 13:4613:46, 8 November 2010 diff hist −3,756 stat841f10 →Method for estimating fit
- 13:4513:45, 8 November 2010 diff hist +3,493 stat841f10 →Over-fitting and Under-fitting
- 13:3013:30, 8 November 2010 diff hist +498 stat841f10 →Radial Basis Function (RBF) Network - October 28, 2010
- 11:3711:37, 8 November 2010 diff hist +2 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis →Penalized Matrix Decomposition
4 November 2010
- 13:0913:09, 4 November 2010 diff hist +287 stat841f10 →Over-fitting and Under-fitting
- 12:3912:39, 4 November 2010 diff hist +93 stat841f10 →Over-fitting and Under-fitting
- 12:3012:30, 4 November 2010 diff hist +251 stat841f10 →Hidden Layer
- 12:2612:26, 4 November 2010 diff hist +100 stat841f10 →Introduction