User contributions for Fatemeh
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22 December 2010
- 11:4411:44, 22 December 2010 diff hist +586 proposal for STAT946 projects Fall 2010 →Project 4 : Identification of related single-nucleotide polymorphism (SNPs) to a certain disease
- 11:4111:41, 22 December 2010 diff hist +133 proposal Fall 2010 →Project 13 : Identification of related single-nucleotide polymorphism (SNPs) to a certain disease
14 December 2010
- 11:1211:12, 14 December 2010 diff hist +6 consistency of Trace Norm Minimization →Consistency Results
- 11:1011:10, 14 December 2010 diff hist +1 consistency of Trace Norm Minimization →Consistency Results
- 11:0811:08, 14 December 2010 diff hist +13 consistency of Trace Norm Minimization →Consistency Results
- 11:0811:08, 14 December 2010 diff hist +110 consistency of Trace Norm Minimization →Consistency Results
- 09:3909:39, 14 December 2010 diff hist +171 consistency of Trace Norm Minimization →Consistency Results
- 09:3109:31, 14 December 2010 diff hist +564 consistency of Trace Norm Minimization →Optimality Conditions
- 09:1909:19, 14 December 2010 diff hist +77 consistency of Trace Norm Minimization →Assumptions
- 09:1009:10, 14 December 2010 diff hist +47 consistency of Trace Norm Minimization →Introduction
- 01:5601:56, 14 December 2010 diff hist +56 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Learning Compact Operators with Spectral Regularization
- 01:5401:54, 14 December 2010 diff hist +56 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Optimization Problem
- 01:4801:48, 14 December 2010 diff hist +84 multi-Task Feature Learning →Algorithm 1: Multi-Task Feature Learning
- 01:4701:47, 14 December 2010 diff hist +138 multi-Task Feature Learning →Experiments
- 01:4301:43, 14 December 2010 diff hist +53 multi-Task Feature Learning →Synthetic Experiments
- 01:4201:42, 14 December 2010 diff hist +51 multi-Task Feature Learning →Conclusion
- 01:3801:38, 14 December 2010 diff hist +92 multi-Task Feature Learning →Problem formulation
- 01:3501:35, 14 December 2010 diff hist +316 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Optimization Problem
- 01:2001:20, 14 December 2010 diff hist +402 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Conclusion
- 01:1301:13, 14 December 2010 diff hist +173 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Optimization Problem
- 01:0601:06, 14 December 2010 diff hist +78 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Learning Compact Operators with Spectral Regularization
- 01:0401:04, 14 December 2010 diff hist +59 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Learning Compact Operators with Spectral Regularization
- 01:0301:03, 14 December 2010 diff hist +52 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Learning Compact Operators with Spectral Regularization
- 01:0101:01, 14 December 2010 diff hist +103 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Learning Compact Operators with Spectral Regularization
- 00:5700:57, 14 December 2010 diff hist +109 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Learning Compact Operators with Spectral Regularization
13 December 2010
- 19:3319:33, 13 December 2010 diff hist +44 multi-Task Feature Learning →Problem formulation
- 19:3219:32, 13 December 2010 diff hist +39 multi-Task Feature Learning →Introduction
- 19:3019:30, 13 December 2010 diff hist +13 multi-Task Feature Learning →Problem formulation
- 19:2519:25, 13 December 2010 diff hist +17 multi-Task Feature Learning →Equivalent convex optimization formulation
- 19:2319:23, 13 December 2010 diff hist +1 multi-Task Feature Learning →Equivalent convex optimization formulation
- 19:2319:23, 13 December 2010 diff hist +40 multi-Task Feature Learning →Equivalent convex optimization formulation
- 19:2219:22, 13 December 2010 diff hist +7 multi-Task Feature Learning →Equivalent convex optimization formulation
- 19:2119:21, 13 December 2010 diff hist −5 multi-Task Feature Learning →Problem formulation
- 19:2019:20, 13 December 2010 diff hist −13 multi-Task Feature Learning →Problem formulation
- 19:1919:19, 13 December 2010 diff hist 0 multi-Task Feature Learning →Problem formulation
- 19:1819:18, 13 December 2010 diff hist +17 multi-Task Feature Learning →Problem formulation
- 19:1519:15, 13 December 2010 diff hist +446 multi-Task Feature Learning →Introduction
8 December 2010
- 19:5119:51, 8 December 2010 diff hist +104 probabilistic PCA with GPLVM →Dual PPCA
- 19:4919:49, 8 December 2010 diff hist +51 probabilistic PCA with GPLVM →Dual PPCA
- 19:4819:48, 8 December 2010 diff hist −5 probabilistic PCA with GPLVM →Unifying Objective Function
- 19:4619:46, 8 December 2010 diff hist +4 probabilistic PCA with GPLVM →Conclusion
- 19:3819:38, 8 December 2010 diff hist −3 probabilistic PCA with GPLVM →Unifying Objective Function
- 19:3619:36, 8 December 2010 diff hist +41 probabilistic PCA with GPLVM →Conclusion
- 19:3619:36, 8 December 2010 diff hist +84 probabilistic PCA with GPLVM →Gaussian Process Latent Variable Models (GP-LVM)
- 19:3319:33, 8 December 2010 diff hist +42 probabilistic PCA with GPLVM →GP-LVM
- 19:3219:32, 8 December 2010 diff hist +376 probabilistic PCA with GPLVM →Probabilistic PCA
- 19:1919:19, 8 December 2010 diff hist +60 probabilistic PCA with GPLVM →Overview
- 19:0519:05, 8 December 2010 diff hist +602 probabilistic Matrix Factorization →Automatic Complexity Control for PMF Models
- 19:0219:02, 8 December 2010 diff hist +93 probabilistic Matrix Factorization →Automatic Complexity Control for PMF Models
7 December 2010
- 20:2120:21, 7 December 2010 diff hist +432 probabilistic Matrix Factorization →Probabilistic Matrix Factorization
3 December 2010
- 09:5109:51, 3 December 2010 diff hist −19 optimal Solutions forSparse Principal Component Analysis No edit summary
2 December 2010
- 19:2219:22, 2 December 2010 diff hist 0 optimal Solutions forSparse Principal Component Analysis →Notation
- 19:2219:22, 2 December 2010 diff hist +2 optimal Solutions forSparse Principal Component Analysis →Sparse PCA
- 19:1619:16, 2 December 2010 diff hist +86 optimal Solutions forSparse Principal Component Analysis →Application
- 19:1419:14, 2 December 2010 diff hist +2 optimal Solutions forSparse Principal Component Analysis →Convex Relaxation
- 18:1518:15, 2 December 2010 diff hist +1 optimal Solutions forSparse Principal Component Analysis →Conclusion
- 18:1218:12, 2 December 2010 diff hist +411 optimal Solutions forSparse Principal Component Analysis →Conclusion
- 18:0518:05, 2 December 2010 diff hist +47 optimal Solutions forSparse Principal Component Analysis →Subset selection
- 18:0418:04, 2 December 2010 diff hist +2 optimal Solutions forSparse Principal Component Analysis →Sparse PCA
- 18:0218:02, 2 December 2010 diff hist −23 optimal Solutions forSparse Principal Component Analysis →Sparse recovery
- 16:5316:53, 2 December 2010 diff hist +509 optimal Solutions forSparse Principal Component Analysis →Application
- 16:4216:42, 2 December 2010 diff hist +824 optimal Solutions forSparse Principal Component Analysis →Application
- 16:2516:25, 2 December 2010 diff hist +137 optimal Solutions forSparse Principal Component Analysis →Optimality Conditions
- 16:1316:13, 2 December 2010 diff hist +27 optimal Solutions forSparse Principal Component Analysis →Convex Relaxation
- 16:1216:12, 2 December 2010 diff hist +817 optimal Solutions forSparse Principal Component Analysis →Convex Relaxation
- 15:5815:58, 2 December 2010 diff hist +1,008 optimal Solutions forSparse Principal Component Analysis →Convex Relaxation
- 02:2702:27, 2 December 2010 diff hist +23 optimal Solutions forSparse Principal Component Analysis →Greedy Solution
- 02:2602:26, 2 December 2010 diff hist +1,217 optimal Solutions forSparse Principal Component Analysis →Greedy Solution
- 01:5001:50, 2 December 2010 diff hist +403 optimal Solutions forSparse Principal Component Analysis →Sparse PCA
- 01:4101:41, 2 December 2010 diff hist +1,128 optimal Solutions forSparse Principal Component Analysis →Notation
- 01:1701:17, 2 December 2010 diff hist +680 optimal Solutions forSparse Principal Component Analysis →Notation
- 00:5300:53, 2 December 2010 diff hist +123 paper Summaries →Set B
- 00:5100:51, 2 December 2010 diff hist +2,097 N optimal Solutions forSparse Principal Component Analysis Created page with "Under construction ==Introduction== Principle component analysis (PCA) is a method for finding a linear combinations of the variables called principle components,corresponding t..."
- 00:1600:16, 2 December 2010 diff hist +71 sign up for your presentation No edit summary
1 December 2010
- 17:2217:22, 1 December 2010 diff hist +1,049 compressive Sensing (Candes) →Formulation
- 16:5316:53, 1 December 2010 diff hist −1 compressive Sensing (Candes) →Optimization
29 November 2010
- 19:4319:43, 29 November 2010 diff hist +1 a Rank Minimization Heuristic with Application to Minimum Order System Approximation →Minimum Order System Approximation
- 19:3219:32, 29 November 2010 diff hist +90 a Rank Minimization Heuristic with Application to Minimum Order System Approximation →Minimum Order System Approximation
- 19:0719:07, 29 November 2010 diff hist +221 a Rank Minimization Heuristic with Application to Minimum Order System Approximation →Nuclear Norm Heuristic: A Generalization Of The Trace Heuristic
23 November 2010
- 19:5619:56, 23 November 2010 diff hist +205 matrix Completion with Noise →Stable Matrix Completion
- 19:5119:51, 23 November 2010 diff hist 0 matrix Completion with Noise →Comparison with an Oracle
- 19:4819:48, 23 November 2010 diff hist +229 matrix Completion with Noise →Exact Matrix Completion
- 19:4119:41, 23 November 2010 diff hist −5 matrix Completion with Noise →Exact Matrix Completion
21 November 2010
- 22:4622:46, 21 November 2010 diff hist +85 stat841f10 →Support Vectors
- 22:3822:38, 21 November 2010 diff hist +967 deflation Methods for Sparse PCA →Orthogonalized deflation
- 22:0022:00, 21 November 2010 diff hist +99 deflation Methods for Sparse PCA →Introduction
- 21:5121:51, 21 November 2010 diff hist +466 stat841f10 →Support Vectors
- 21:2921:29, 21 November 2010 diff hist +158 stat841f10 →Advantages of SVM
- 21:2821:28, 21 November 2010 diff hist −168 stat841f10 →Support Vectors
- 21:1721:17, 21 November 2010 diff hist +157 stat841f10 →Support Vectors
- 21:1421:14, 21 November 2010 diff hist +152 stat841f10 →Optimal Separating Hyperplane
- 21:0821:08, 21 November 2010 diff hist +73 stat841f10 →Support Vector Machine Cont., Kernel Trick - November 11, 2010
- 21:0021:00, 21 November 2010 diff hist +4 stat841f10 →Objective Function
- 20:5020:50, 21 November 2010 diff hist +9 stat841f10 →Property[http://en.wikipedia.org/wiki/K-nearest_neighbor_algorithm#Properties]
- 20:4720:47, 21 November 2010 diff hist +18 stat841f10 →AdaBoost Algorithm
- 20:4020:40, 21 November 2010 diff hist +8 stat841f10 →Boosting vs. Bagging
- 17:3117:31, 21 November 2010 diff hist +4 stat841f10 →Examples
14 November 2010
- 12:3912:39, 14 November 2010 diff hist −1 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis →Sparse PCA
- 12:3812:38, 14 November 2010 diff hist +215 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis →Sparse PCA
- 12:3112:31, 14 November 2010 diff hist +383 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis →PMD(L_1,FL)
- 12:1712:17, 14 November 2010 diff hist +156 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis →Lemma 1
- 12:0512:05, 14 November 2010 diff hist +44 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis →Algorithm 2: Computation of K factors of PMD
- 12:0312:03, 14 November 2010 diff hist +188 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis →Algorithm 1: Computation of single-factor PMD
- 11:5311:53, 14 November 2010 diff hist +2 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis →Penalized Matrix Decomposition
- 11:5211:52, 14 November 2010 diff hist +1 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis →Penalized Matrix Decomposition
- 11:5111:51, 14 November 2010 diff hist +161 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis →Penalized Matrix Decomposition
11 November 2010
- 14:2114:21, 11 November 2010 diff hist +1 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Introduction
- 14:1214:12, 11 November 2010 diff hist −5 a Direct Formulation For Sparse PCA Using Semidefinite Programming →First order minimization
- 14:1214:12, 11 November 2010 diff hist +141 a Direct Formulation For Sparse PCA Using Semidefinite Programming →First order minimization
- 14:1114:11, 11 November 2010 diff hist −26 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 08:5208:52, 11 November 2010 diff hist −1 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Introduction
- 08:4908:49, 11 November 2010 diff hist +1 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Introduction
- 08:4808:48, 11 November 2010 diff hist −1 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Introduction
- 08:4708:47, 11 November 2010 diff hist −2 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Introduction
- 08:3108:31, 11 November 2010 diff hist +1 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Algorithm
- 08:3108:31, 11 November 2010 diff hist −3 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Algorithm
- 08:3008:30, 11 November 2010 diff hist −1 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Algorithm
- 08:2908:29, 11 November 2010 diff hist +58 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Algorithm
- 08:2608:26, 11 November 2010 diff hist +78 sign up for your presentation →Set A
10 November 2010
- 21:0621:06, 10 November 2010 diff hist +1 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis →Introduction
- 21:0321:03, 10 November 2010 diff hist +5 a Direct Formulation For Sparse PCA Using Semidefinite Programming →First order minimization
- 21:0221:02, 10 November 2010 diff hist +84 a Direct Formulation For Sparse PCA Using Semidefinite Programming →First order minimization
- 21:0021:00, 10 November 2010 diff hist +203 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 20:4320:43, 10 November 2010 diff hist 0 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Regularization
- 20:4320:43, 10 November 2010 diff hist 0 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Regularization
- 20:4220:42, 10 November 2010 diff hist −1 a Direct Formulation For Sparse PCA Using Semidefinite Programming →First order minimization
- 20:4120:41, 10 November 2010 diff hist +532 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Application o sparse PCA
- 20:3520:35, 10 November 2010 diff hist +154 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Smoothing technique
- 20:3220:32, 10 November 2010 diff hist +209 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Smoothing technique
- 20:0320:03, 10 November 2010 diff hist +43 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Smoothing technique
- 20:0220:02, 10 November 2010 diff hist +203 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 19:5819:58, 10 November 2010 diff hist +420 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 19:4019:40, 10 November 2010 diff hist +504 a Direct Formulation For Sparse PCA Using Semidefinite Programming No edit summary
- 18:0918:09, 10 November 2010 diff hist +298 a Direct Formulation For Sparse PCA Using Semidefinite Programming →First order minimization
- 17:5517:55, 10 November 2010 diff hist +402 a Direct Formulation For Sparse PCA Using Semidefinite Programming →First order minimization
- 17:3717:37, 10 November 2010 diff hist +12 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Smoothing technique
- 17:3617:36, 10 November 2010 diff hist +194 a Direct Formulation For Sparse PCA Using Semidefinite Programming →First order minimization
- 17:1717:17, 10 November 2010 diff hist +423 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Algorithm
- 16:5416:54, 10 November 2010 diff hist +159 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Application o sparse PCA
- 16:5016:50, 10 November 2010 diff hist +522 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Application o sparse PCA
- 16:3616:36, 10 November 2010 diff hist +247 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Algorithm
- 16:2816:28, 10 November 2010 diff hist 0 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Algorithm
- 16:2716:27, 10 November 2010 diff hist +477 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Algorithm
- 16:1516:15, 10 November 2010 diff hist +930 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Algorithm
- 16:0216:02, 10 November 2010 diff hist +559 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Algorithm
- 15:5315:53, 10 November 2010 diff hist +583 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Algorithm
- 13:5913:59, 10 November 2010 diff hist −821 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Robustness interpretation
- 13:5913:59, 10 November 2010 diff hist +673 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Sparse decomposition
- 13:4913:49, 10 November 2010 diff hist +2 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Sparse decomposition
- 13:2113:21, 10 November 2010 diff hist +291 a Direct Formulation For Sparse PCA Using Semidefinite Programming →Semidefinite relaxation
- 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
- 13:2013:20, 4 November 2010 diff hist +1 stat841f10 →Avoid Overfitting
- 13:1913:19, 4 November 2010 diff hist +142 stat841f10 →Avoid Overfitting
3 November 2010
- 14:2014:20, 3 November 2010 diff hist +9 schedule of Project Presentations →Schedule of Project Presentations
- 14:1814:18, 3 November 2010 diff hist +2 schedule of Project Presentations →Schedule of Project Presentations
- 14:1714:17, 3 November 2010 diff hist +13 schedule of Project Presentations →Schedule of Project Presentations
2 November 2010
- 20:4120:41, 2 November 2010 diff hist +1,398 f10 Stat841 digest No edit summary
31 October 2010
- 21:1821:18, 31 October 2010 diff hist +1,271 proposal Fall 2010 No edit summary
- 21:1721:17, 31 October 2010 diff hist −1,269 stat841f10 →Proposal Fall 2010
- 13:0713:07, 31 October 2010 diff hist +1,270 stat841f10 →Proposal Fall 2010
- 13:0513:05, 31 October 2010 diff hist +140 proposal for STAT946 projects Fall 2010 No edit summary
- 13:0213:02, 31 October 2010 diff hist +1,070 proposal for STAT946 projects Fall 2010 No edit summary
- 11:0911:09, 31 October 2010 diff hist +56 proposal for STAT946 projects Fall 2010 No edit summary
25 October 2010
- 19:3719:37, 25 October 2010 diff hist +4 stat841f10 →Linear Regression
- 19:3519:35, 25 October 2010 diff hist 0 stat841f10 →Linear Regression
- 19:2219:22, 25 October 2010 diff hist +380 stat841f10 →Linear Regression
- 11:1511:15, 25 October 2010 diff hist +42 stat841f10 →Perceptron Learning Algorithm
- 11:1111:11, 25 October 2010 diff hist +290 stat841f10 →Perceptron Learning Algorithm
- 10:1610:16, 25 October 2010 diff hist +460 stat841f10 →Multi-Class Logistic Regression & Perceptron - October 19, 2010
- 09:5709:57, 25 October 2010 diff hist +61 stat841f10 →Perceptron
- 09:5109:51, 25 October 2010 diff hist +29 stat841f10 →Lecture Summary
19 October 2010
- 10:1610:16, 19 October 2010 diff hist −1,432 stat841f10 →Linear Regression
18 October 2010
- 17:5817:58, 18 October 2010 diff hist +256 stat841f10 →Linear Regression
- 16:4716:47, 18 October 2010 diff hist −242 stat841f10 →The Objective Function for FDA
- 16:4516:45, 18 October 2010 diff hist +1 stat841f10 →2. Maximize the distance between the means of the projected data
- 16:4416:44, 18 October 2010 diff hist +98 stat841f10 →2. Maximize the distance between the means of the projected data
- 16:4016:40, 18 October 2010 diff hist −495 stat841f10 →2. Maximize the distance between the means of the projected data
- 16:3616:36, 18 October 2010 diff hist +2,523 stat841f10 →FDA Goals
- 16:2616:26, 18 October 2010 diff hist +606 stat841f10 →Contrasting FDA with PCA
- 16:0516:05, 18 October 2010 diff hist +242 stat841f10 →Computation For QDA And LDA
- 14:4314:43, 18 October 2010 diff hist −216 stat841f10 →Determining W
- 14:4214:42, 18 October 2010 diff hist +70 stat841f10 →Determining W
- 14:3614:36, 18 October 2010 diff hist +155 stat841f10 →Derivation of the first Principle Component
- 14:0614:06, 18 October 2010 diff hist −98 stat841f10 →Principal Components of handwritten digits
- 14:0214:02, 18 October 2010 diff hist +13 stat841f10 →Editor sign up
- 14:0114:01, 18 October 2010 diff hist +2,000 stat841f10 →Editor sign up
- 13:5613:56, 18 October 2010 diff hist +1,339 stat841f10 →Editor sign up
- 09:2309:23, 18 October 2010 diff hist +124 sign up for your presentation No edit summary
- 09:1609:16, 18 October 2010 diff hist 0 sign up for your presentation No edit summary
14 October 2010
- 19:0619:06, 14 October 2010 diff hist +71 sign up for your presentation No edit summary
- 16:5516:55, 14 October 2010 diff hist +32 sign up for your presentation No edit summary
12 October 2010
- 18:3918:39, 12 October 2010 diff hist −1 stat841f10 →Linear Regression
- 18:3718:37, 12 October 2010 diff hist +3 stat841f10 →Linear Regression
- 18:3018:30, 12 October 2010 diff hist 0 stat841f10 →Linear Regression
- 18:1418:14, 12 October 2010 diff hist +163 stat841f10 →Obtaining Covariance Matrices
- 17:5017:50, 12 October 2010 diff hist +184 stat841f10 →Objective Function
- 17:1917:19, 12 October 2010 diff hist +160 stat841f10 →Obtaining Covariance Matrices
- 16:5616:56, 12 October 2010 diff hist 0 stat841f10 →Obtaining Covariance Matrices
9 October 2010
6 October 2010
- 22:0422:04, 6 October 2010 diff hist −51 stat841f10 →Trick: Using LDA to do QDA
- 21:5021:50, 6 October 2010 diff hist +494 stat841f10 →Lecture Summary
- 21:4921:49, 6 October 2010 diff hist −625 stat841f10 →Lecture Summary
- 21:4721:47, 6 October 2010 diff hist 0 stat841f10 →Lecture Summary
- 21:4321:43, 6 October 2010 diff hist −2 stat841f10 →Computation
- 21:4221:42, 6 October 2010 diff hist −41 stat841f10 →Computation
- 12:2312:23, 6 October 2010 diff hist −441 stat841f10 →Bayes Classifier
4 October 2010
- 12:3312:33, 4 October 2010 diff hist −3 stat841f10 →Algorithm
- 10:3410:34, 4 October 2010 diff hist −180 stat841f10 →Algorithm
- 10:1110:11, 4 October 2010 diff hist +356 stat841f10 →General PCA Algorithm
- 09:5909:59, 4 October 2010 diff hist +264 stat841f10 →General PCA Algorithm
3 October 2010
- 11:3211:32, 3 October 2010 diff hist −1,583 stat841f10 →FDA vs. PCA Example in Matlab
- 11:2311:23, 3 October 2010 diff hist −49 stat841f10 →Principal Components of handwritten digits
- 09:3109:31, 3 October 2010 diff hist +189 stat841f10 →Objective Function
- 09:2709:27, 3 October 2010 diff hist −122 stat841f10 →LDA and QDA in Matlab
- 09:2309:23, 3 October 2010 diff hist +2,435 stat841f10 →General PCA Algorithm
- 09:2309:23, 3 October 2010 diff hist −1,583 stat841f10 →FDA vs. PCA Example in Matlab
- 09:2209:22, 3 October 2010 diff hist −852 stat841f10 →Contrasting FDA with PCA
2 October 2010
- 10:5910:59, 2 October 2010 diff hist −50 stat841f10 →Principle Component Analysis (continued)
- 10:2410:24, 2 October 2010 diff hist −1,704 stat841f10 →Example: Comparing Images of 2s and 3s
- 10:2410:24, 2 October 2010 diff hist +237 stat841f10 →Principal Components of handwritten digits
- 10:1810:18, 2 October 2010 diff hist −58 stat841f10 →Determining W
- 10:0910:09, 2 October 2010 diff hist −9 stat841f10 →Principal Component Analysis Continued - July 14
- 09:4509:45, 2 October 2010 diff hist −515 stat841f10 →Principal Component Analysis
- 09:4209:42, 2 October 2010 diff hist −58 stat841f10 →Principal Component Analysis
- 09:3409:34, 2 October 2010 diff hist +16,059 stat841f10 No edit summary
28 September 2010
- 17:2717:27, 28 September 2010 diff hist +9 stat841f10 →Bayes Classifier
- 17:1917:19, 28 September 2010 diff hist +458 stat841f10 →Classification
27 September 2010
- 20:2620:26, 27 September 2010 diff hist +2 stat841f10 →Bayes Classifier
- 20:2320:23, 27 September 2010 diff hist −10 stat841f10 →Bayes Classifier
- 20:2120:21, 27 September 2010 diff hist −7 stat841f10 →Bayes Classifier
- 20:0920:09, 27 September 2010 diff hist −1 m stat841f10 →Bayes Classifier
- 20:0720:07, 27 September 2010 diff hist 0 m stat841f10 →Bayes Classifier
- 20:0420:04, 27 September 2010 diff hist +1 stat841f10 →Bayes Classifier
- 12:5312:53, 27 September 2010 diff hist −2 stat841f10 →Classification
- 12:5212:52, 27 September 2010 diff hist +115 stat841f10 →Classification
23 September 2010
- 14:2014:20, 23 September 2010 diff hist +14 statf10841Scribe No edit summary