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10 November 2010
- 13:1613:16, 10 November 2010 diff hist −2 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 13:1513:15, 10 November 2010 diff hist +237 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Semidefinite relaxation
- 12:5412:54, 10 November 2010 diff hist +390 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Introduction
- 12:4112:41, 10 November 2010 diff hist +181 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Introduction
9 November 2010
- 22:2422:24, 9 November 2010 diff hist +129 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Regularization
- 22:2122:21, 9 November 2010 diff hist +238 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Regularization
- 22:0622:06, 9 November 2010 diff hist +58 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Application o sparse PCA
- 22:0522:05, 9 November 2010 diff hist +74 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Application o sparse PCA
- 22:0422:04, 9 November 2010 diff hist +277 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Application o sparse PCA
- 21:5521:55, 9 November 2010 diff hist +201 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Application o sparse PCA
- 21:4621:46, 9 November 2010 diff hist −136 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Semidefinite relaxation
- 21:4421:44, 9 November 2010 diff hist 0 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Robustness interpretation
- 21:4221:42, 9 November 2010 diff hist −198 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Robustness interpretation
- 21:4021:40, 9 November 2010 diff hist −56 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Sparse decomposition
- 21:3921:39, 9 November 2010 diff hist +302 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Application o sparse PCA
- 21:2721:27, 9 November 2010 diff hist +135 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Smoothing technique
- 21:1821:18, 9 November 2010 diff hist +276 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Sparse decomposition
- 21:1121:11, 9 November 2010 diff hist +3 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 21:1021:10, 9 November 2010 diff hist +117 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 21:0821:08, 9 November 2010 diff hist +1,536 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 20:2220:22, 9 November 2010 diff hist +252 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 20:1520:15, 9 November 2010 diff hist +254 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 19:5319:53, 9 November 2010 diff hist +152 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 19:4819:48, 9 November 2010 diff hist +1 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 19:4719:47, 9 November 2010 diff hist +25 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 19:4719:47, 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 ..."
- 19:4219:42, 9 November 2010 diff hist +142 paper Summaries No edit summary
- 12:1312:13, 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
- 19:1519:15, 8 November 2010 diff hist +159 stat841f10 →Stein's unbiased risk estimate (SURE)
- 18:5718:57, 8 November 2010 diff hist −5 stat841f10 →Stein's unbiased risk estimate (SURE)
- 18:5418:54, 8 November 2010 diff hist +457 stat841f10 →Stein's unbiased risk estimate (SURE)
- 18:5018:50, 8 November 2010 diff hist +490 stat841f10 →Stein's unbiased risk estimate (SURE)
- 17:1417:14, 8 November 2010 diff hist −51 stat841f10 →Weight decay
- 17:0617:06, 8 November 2010 diff hist +15 stat841f10 →Weight decay
- 17:0017:00, 8 November 2010 diff hist +868 stat841f10 →Weight decay
- 16:4716:47, 8 November 2010 diff hist +514 stat841f10 →Regularization for Neural Network - November 4, 2010
- 16:4016:40, 8 November 2010 diff hist +260 stat841f10 →Regularization for Neural Network - November 4, 2010
- 16:2816:28, 8 November 2010 diff hist −3,756 stat841f10 →Regularization for Neural Network - November 4, 2010
- 15:0215:02, 8 November 2010 diff hist 0 stat841f10 →Leave-One-Out Cross-Validation - October 28, 2010
- 14:5814:58, 8 November 2010 diff hist −4 stat841f10 →Derivation of the first Principle Component
- 14:5614:56, 8 November 2010 diff hist +83 stat841f10 →Principal Components of handwritten digits
- 14:5414:54, 8 November 2010 diff hist +919 stat841f10 →Leave-One-Out Cross-Validation - October 28, 2010
- 14:4614:46, 8 November 2010 diff hist −3,756 stat841f10 →Method for estimating fit
- 14:4514:45, 8 November 2010 diff hist +3,493 stat841f10 →Over-fitting and Under-fitting
- 14:3014:30, 8 November 2010 diff hist +498 stat841f10 →Radial Basis Function (RBF) Network - October 28, 2010
- 12:3712:37, 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
- 14:0914:09, 4 November 2010 diff hist +287 stat841f10 →Over-fitting and Under-fitting
- 13:3913:39, 4 November 2010 diff hist +93 stat841f10 →Over-fitting and Under-fitting
- 13:3013:30, 4 November 2010 diff hist +251 stat841f10 →Hidden Layer
- 13:2613:26, 4 November 2010 diff hist +100 stat841f10 →Introduction