User contributions for Gdcunha
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6 December 2010
- 22:2222:22, 6 December 2010 diff hist +9 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Experiments
- 21:4921:49, 6 December 2010 diff hist +18 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Experiments
- 21:4721:47, 6 December 2010 diff hist −17 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization No edit summary
- 21:4521:45, 6 December 2010 diff hist +19 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Experiments
- 21:4521:45, 6 December 2010 diff hist +31 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Experiments
- 21:4421:44, 6 December 2010 diff hist −17 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Experiments
- 21:4421:44, 6 December 2010 diff hist −31 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Experiments
- 21:4221:42, 6 December 2010 diff hist −1 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Experiments
- 21:4121:41, 6 December 2010 diff hist −3 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization No edit summary
- 21:3921:39, 6 December 2010 diff hist +104 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Experiments
- 21:3621:36, 6 December 2010 diff hist 0 N File:Abernathy.jpg No edit summary current
- 21:2421:24, 6 December 2010 diff hist +6 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Learning Compact Operators with Spectral Regularization
- 21:0121:01, 6 December 2010 diff hist −15 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Introduction
- 19:3519:35, 6 December 2010 diff hist +193 paper Summaries →Set B
3 December 2010
- 17:5717:57, 3 December 2010 diff hist 0 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Learning Compact Operators with Spectral Regularization
- 17:4417:44, 3 December 2010 diff hist −13 multi-Task Feature Learning →Learning algorithm
- 17:4117:41, 3 December 2010 diff hist +7 multi-Task Feature Learning →Algorithm 1: Multi-Task Feature Learning
- 17:4017:40, 3 December 2010 diff hist −1 multi-Task Feature Learning →Algorithm 1: Multi-Task Feature Learning
- 17:4017:40, 3 December 2010 diff hist +582 multi-Task Feature Learning →Algorithm 1: Multi-Task Feature Learning
- 17:3217:32, 3 December 2010 diff hist −55 multi-Task Feature Learning →Learning algorithm
- 17:2717:27, 3 December 2010 diff hist −47 multi-Task Feature Learning →Equivalent convex optimization formulation
- 17:2417:24, 3 December 2010 diff hist −4 multi-Task Feature Learning →Equivalent convex optimization formulation
- 17:2317:23, 3 December 2010 diff hist −2 multi-Task Feature Learning →Learning algorithm
- 17:2117:21, 3 December 2010 diff hist 0 multi-Task Feature Learning →Equivalent convex optimization formulation
- 17:2017:20, 3 December 2010 diff hist −2 multi-Task Feature Learning →Problem formulation
- 17:2017:20, 3 December 2010 diff hist −17 multi-Task Feature Learning →Equivalent convex optimization formulation
- 17:1517:15, 3 December 2010 diff hist −15 multi-Task Feature Learning →Problem formulation
- 17:1417:14, 3 December 2010 diff hist +24 multi-Task Feature Learning →Problem formulation
- 17:1317:13, 3 December 2010 diff hist −9 multi-Task Feature Learning →Problem formulation
- 17:1317:13, 3 December 2010 diff hist +6 multi-Task Feature Learning →Problem formulation
- 17:1017:10, 3 December 2010 diff hist +24 multi-Task Feature Learning →Problem formulation
- 16:5216:52, 3 December 2010 diff hist +4 multi-Task Feature Learning →Notation
- 16:5016:50, 3 December 2010 diff hist 0 multi-Task Feature Learning →Notation
- 16:5016:50, 3 December 2010 diff hist +105 multi-Task Feature Learning →Notations
- 16:3916:39, 3 December 2010 diff hist −17 multi-Task Feature Learning →Introduction
- 16:1816:18, 3 December 2010 diff hist +5 probabilistic PCA with GPLVM →Unifying Objective Function
- 16:1316:13, 3 December 2010 diff hist +32 probabilistic PCA with GPLVM →GP-LVM
- 16:1216:12, 3 December 2010 diff hist −1 probabilistic PCA with GPLVM →Dual PPCA
- 16:0816:08, 3 December 2010 diff hist +189 probabilistic PCA with GPLVM →Probabilistic PCA
- 15:5515:55, 3 December 2010 diff hist −7 probabilistic PCA with GPLVM →Overview
- 15:3615:36, 3 December 2010 diff hist −1 optimal Solutions forSparse Principal Component Analysis →Conclusion
- 15:3615:36, 3 December 2010 diff hist +5 optimal Solutions forSparse Principal Component Analysis →Convex Relaxation
- 15:3515:35, 3 December 2010 diff hist −99 optimal Solutions forSparse Principal Component Analysis →Greedy Solution
- 15:3115:31, 3 December 2010 diff hist +804 optimal Solutions forSparse Principal Component Analysis →Sparse PCA
- 15:0415:04, 3 December 2010 diff hist −1 optimal Solutions forSparse Principal Component Analysis →Sparse PCA
- 15:0215:02, 3 December 2010 diff hist +2 optimal Solutions forSparse Principal Component Analysis →Notation
- 15:0115:01, 3 December 2010 diff hist 0 optimal Solutions forSparse Principal Component Analysis →Notation
- 15:0115:01, 3 December 2010 diff hist +161 optimal Solutions forSparse Principal Component Analysis →Notation
- 14:2514:25, 3 December 2010 diff hist −21 optimal Solutions forSparse Principal Component Analysis →Sparse PCA
- 14:2314:23, 3 December 2010 diff hist +2 optimal Solutions forSparse Principal Component Analysis →Notation
- 14:2214:22, 3 December 2010 diff hist +12 optimal Solutions forSparse Principal Component Analysis →Notation
- 14:0414:04, 3 December 2010 diff hist +11 optimal Solutions forSparse Principal Component Analysis →Introduction
- 14:0314:03, 3 December 2010 diff hist +23 optimal Solutions forSparse Principal Component Analysis →Introduction
2 December 2010
- 00:2000:20, 2 December 2010 diff hist −20 probabilistic Matrix Factorization No edit summary
1 December 2010
- 23:3123:31, 1 December 2010 diff hist +307 probabilistic Matrix Factorization No edit summary
- 23:2523:25, 1 December 2010 diff hist +58 probabilistic Matrix Factorization →Introduction and Motivation (Netflix Dataset)
- 22:1822:18, 1 December 2010 diff hist +1 probabilistic Matrix Factorization →Introduction and Motivation (Netflix Dataset)
- 22:1822:18, 1 December 2010 diff hist +1 probabilistic Matrix Factorization →Introduction and Motivation (Netflix Dataset)
- 01:1701:17, 1 December 2010 diff hist 0 probabilistic Matrix Factorization →Probabilistic Matrix Factorization
- 01:1601:16, 1 December 2010 diff hist 0 probabilistic Matrix Factorization →Constrained Probabilistic Matrix Factorization
- 01:1401:14, 1 December 2010 diff hist 0 probabilistic Matrix Factorization →Probabilistic Matrix Factorization
- 01:1301:13, 1 December 2010 diff hist +97 probabilistic Matrix Factorization →Probabilistic Matrix Factorization
- 00:5900:59, 1 December 2010 diff hist −17 probabilistic Matrix Factorization →Probabilistic Matrix Factorization
- 00:5800:58, 1 December 2010 diff hist 0 probabilistic Matrix Factorization →Probabilistic Matrix Factorization
- 00:2400:24, 1 December 2010 diff hist +337 compressive Sensing (Candes) →Optimization
- 00:2400:24, 1 December 2010 diff hist 0 N File:Normsgd.jpg No edit summary current
- 00:1600:16, 1 December 2010 diff hist +560 compressive Sensing (Candes) →Performance and Robustness
- 00:0600:06, 1 December 2010 diff hist +292 compressive Sensing (Candes) →Choosing a Compressive Sensing Matrix \Theta
- 00:0000:00, 1 December 2010 diff hist 0 compressive Sensing (Candes) →Choosing a Compressive Sensing Matrix \Theta
30 November 2010
- 23:5523:55, 30 November 2010 diff hist +78 compressive Sensing (Candes) →Choosing a Compressive Sensing Matrix \Theta
29 November 2010
- 15:0015:00, 29 November 2010 diff hist −341 proposal for STAT946 projects Fall 2010 →By: Greg D'Cunha
- 00:2100:21, 29 November 2010 diff hist +1,340 probabilistic Matrix Factorization →Experimental Results
28 November 2010
- 23:5823:58, 28 November 2010 diff hist −2 probabilistic Matrix Factorization →Introduction and Motivation (Netflix Dataset)
- 23:5823:58, 28 November 2010 diff hist +92 probabilistic Matrix Factorization →Experimental Results
- 23:5723:57, 28 November 2010 diff hist +127 probabilistic Matrix Factorization →Introduction and Motivation (Netflix Dataset)
- 23:5423:54, 28 November 2010 diff hist +3 probabilistic Matrix Factorization →Experimental Results
- 23:5423:54, 28 November 2010 diff hist 0 N File:Fig3PMF.jpg No edit summary current
- 23:5323:53, 28 November 2010 diff hist +5 probabilistic Matrix Factorization →Experimental Results
- 23:5323:53, 28 November 2010 diff hist +335 probabilistic Matrix Factorization →Experimental Results
- 21:1321:13, 28 November 2010 diff hist −4 probabilistic Matrix Factorization →Experimental Results
- 20:4820:48, 28 November 2010 diff hist 0 probabilistic Matrix Factorization →Constrained Probabilistic Matrix Factorization
- 20:4820:48, 28 November 2010 diff hist +8 probabilistic Matrix Factorization →Constrained Probabilistic Matrix Factorization
- 20:4720:47, 28 November 2010 diff hist +8 probabilistic Matrix Factorization →Constrained Probabilistic Matrix Factorization
- 20:4620:46, 28 November 2010 diff hist 0 probabilistic Matrix Factorization →Constrained Probabilistic Matrix Factorization
- 20:4620:46, 28 November 2010 diff hist +1,141 probabilistic Matrix Factorization →Constrained Probabilistic Matrix Factorization
- 19:3119:31, 28 November 2010 diff hist +489 probabilistic Matrix Factorization →Constrained Probabilistic Matrix Factorization
- 18:0318:03, 28 November 2010 diff hist +52 probabilistic Matrix Factorization →Probabilistic Matrix Factorization
- 16:5416:54, 28 November 2010 diff hist −16 compressive Sensing (Candes) →Applications
- 16:3716:37, 28 November 2010 diff hist −2 compressive Sensing (Candes) →Optimization
- 16:2816:28, 28 November 2010 diff hist −10 compressive Sensing (Candes) →Choosing a Compressive Sensing Matrix \Theta
- 16:2516:25, 28 November 2010 diff hist +5 compressive Sensing (Candes) →Formulation
- 16:0916:09, 28 November 2010 diff hist −1 compressive Sensing (Candes) →Formulation
27 November 2010
- 21:4321:43, 27 November 2010 diff hist +16 compressive Sensing (Candes) →Performance and Robustness
26 November 2010
- 13:2613:26, 26 November 2010 diff hist −5 compressive Sensing (Candes) →Formulation
- 13:2513:25, 26 November 2010 diff hist 0 compressive Sensing (Candes) →Motivation
25 November 2010
- 00:2300:23, 25 November 2010 diff hist +16 self-Taught Learning →A Classifier Specific to Sparse-Coding
24 November 2010
- 23:3423:34, 24 November 2010 diff hist −2 m self-Taught Learning →A Classifier Specific to Sparse-Coding
- 23:2223:22, 24 November 2010 diff hist −1 m self-Taught Learning →Projecting Labeled Data in New Bases and Classification
- 22:3722:37, 24 November 2010 diff hist 0 self-Taught Learning →Constructing Bases Using Unlabeled Data
- 20:5220:52, 24 November 2010 diff hist 0 sign up for your presentation →Set B