User contributions for Z47xu
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27 August 2013
- 14:2914:29, 27 August 2013 diff hist −68 stat946s13 →Set A
25 August 2013
- 23:4823:48, 25 August 2013 diff hist +3 nonparametric Latent Feature Models for Link Prediction →Basic model
- 23:4323:43, 25 August 2013 diff hist 0 nonparametric Latent Feature Models for Link Prediction →Basic model
- 23:4223:42, 25 August 2013 diff hist +288 nonparametric Latent Feature Models for Link Prediction →Basic model
- 23:3823:38, 25 August 2013 diff hist +7 nonparametric Latent Feature Models for Link Prediction →Basic model
- 23:3623:36, 25 August 2013 diff hist +148 nonparametric Latent Feature Models for Link Prediction →The nonparametric latent feature relational model
- 23:2823:28, 25 August 2013 diff hist −4 nonparametric Latent Feature Models for Link Prediction →Basic model
- 23:2723:27, 25 August 2013 diff hist +85 nonparametric Latent Feature Models for Link Prediction →Basic model
- 23:1223:12, 25 August 2013 diff hist +97 positive Semidefinite Metric Learning Using Boosting-like Algorithms →4. Optimization strategies
- 23:0523:05, 25 August 2013 diff hist +2 positive Semidefinite Metric Learning Using Boosting-like Algorithms →4. Optimization strategies
- 23:0023:00, 25 August 2013 diff hist +7 positive Semidefinite Metric Learning Using Boosting-like Algorithms →4. Optimization strategies
- 22:5822:58, 25 August 2013 diff hist −1 positive Semidefinite Metric Learning Using Boosting-like Algorithms →4. Optimization strategies
- 22:5522:55, 25 August 2013 diff hist +26 positive Semidefinite Metric Learning Using Boosting-like Algorithms →4. Optimization strategies
- 22:4222:42, 25 August 2013 diff hist −14 positive Semidefinite Metric Learning Using Boosting-like Algorithms →4. Optimization strategies
- 22:4122:41, 25 August 2013 diff hist +14 positive Semidefinite Metric Learning Using Boosting-like Algorithms →4. Optimization strategies
- 22:4022:40, 25 August 2013 diff hist +131 positive Semidefinite Metric Learning Using Boosting-like Algorithms →4. Optimization strategies
- 22:2322:23, 25 August 2013 diff hist +511 positive Semidefinite Metric Learning Using Boosting-like Algorithms →1. Intention
- 04:2404:24, 25 August 2013 diff hist +160 positive Semidefinite Metric Learning Using Boosting-like Algorithms →3. Optimization problems for three loss functions
- 01:5001:50, 25 August 2013 diff hist +3 adaptive dimension reduction for clustering high dimensional data →7. Discussion
- 01:4601:46, 25 August 2013 diff hist +147 adaptive dimension reduction for clustering high dimensional data →7. Discussion
- 01:2801:28, 25 August 2013 diff hist +13 adaptive dimension reduction for clustering high dimensional data →7. Discussion
- 01:2601:26, 25 August 2013 diff hist +1 adaptive dimension reduction for clustering high dimensional data →7. Discussion
- 01:2601:26, 25 August 2013 diff hist +1 adaptive dimension reduction for clustering high dimensional data →7. Discussion
- 01:2601:26, 25 August 2013 diff hist +659 adaptive dimension reduction for clustering high dimensional data →7. Discussion
- 01:2301:23, 25 August 2013 diff hist +174 positive Semidefinite Metric Learning Using Boosting-like Algorithms →3. Optimization problems for three loss functions
24 August 2013
- 23:5623:56, 24 August 2013 diff hist +20 positive Semidefinite Metric Learning Using Boosting-like Algorithms No edit summary
- 22:2622:26, 24 August 2013 diff hist +39 adaptive dimension reduction for clustering high dimensional data →2. Effective Dimension for Clustering
- 22:2522:25, 24 August 2013 diff hist +15 adaptive dimension reduction for clustering high dimensional data →2. Effective Dimension for Clustering
- 22:2422:24, 24 August 2013 diff hist +13 adaptive dimension reduction for clustering high dimensional data →2. Effective Dimension for Clustering
- 20:5420:54, 24 August 2013 diff hist +161 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Low Rank Plus Sparse Inverse
- 20:4120:41, 24 August 2013 diff hist +1 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Maximum likelihood RCA
- 20:3620:36, 24 August 2013 diff hist +496 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Maximum likelihood RCA
- 20:3220:32, 24 August 2013 diff hist +84 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Optimization
- 20:2820:28, 24 August 2013 diff hist 0 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Optimization
- 20:2720:27, 24 August 2013 diff hist 0 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Optimization
- 17:5417:54, 24 August 2013 diff hist +3 nonparametric Latent Feature Models for Link Prediction →Basic model
- 17:5317:53, 24 August 2013 diff hist 0 nonparametric Latent Feature Models for Link Prediction →Full model
- 17:5117:51, 24 August 2013 diff hist +80 nonparametric Latent Feature Models for Link Prediction →Basic model
- 01:5101:51, 24 August 2013 diff hist +471 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Optimization
- 00:2000:20, 24 August 2013 diff hist −35 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Side Information as Grouping Constraints
- 00:0800:08, 24 August 2013 diff hist +200 metric and Kernel Learning Using a Linear Transformation →Previous work
- 00:0500:05, 24 August 2013 diff hist −347 metric and Kernel Learning Using a Linear Transformation →Introduction
23 August 2013
- 23:0023:00, 23 August 2013 diff hist +447 parametric Local Metric Learning for Nearest Neighbor Classification →Prepared Knowledge
- 22:4222:42, 23 August 2013 diff hist +164 parametric Local Metric Learning for Nearest Neighbor Classification →Prepared Knowledge
- 16:1216:12, 23 August 2013 diff hist +391 parametric Local Metric Learning for Nearest Neighbor Classification No edit summary
- 15:5115:51, 23 August 2013 diff hist +296 rOBPCA: A New Approach to Robust Principal Component Analysis →Detailed ROBPCA algorithm
- 15:3715:37, 23 August 2013 diff hist +204 rOBPCA: A New Approach to Robust Principal Component Analysis →Simulations
- 14:5114:51, 23 August 2013 diff hist +558 cardinality Restricted Boltzmann Machines →Experiments
- 14:0214:02, 23 August 2013 diff hist +3 kernelized Locality-Sensitive Hashing →Experimental Result
- 14:0214:02, 23 August 2013 diff hist +1,431 kernelized Locality-Sensitive Hashing →Experimental Result
- 10:3710:37, 23 August 2013 diff hist −234 metric and Kernel Learning Using a Linear Transformation →Intention
- 10:3610:36, 23 August 2013 diff hist −246 metric and Kernel Learning Using a Linear Transformation →Intention
- 10:3410:34, 23 August 2013 diff hist +1,243 metric and Kernel Learning Using a Linear Transformation No edit summary
- 10:3410:34, 23 August 2013 diff hist −1,242 parametric Local Metric Learning for Nearest Neighbor Classification →Intention
22 August 2013
- 23:1723:17, 22 August 2013 diff hist +1 parametric Local Metric Learning for Nearest Neighbor Classification →Learning the Weights
- 23:1623:16, 22 August 2013 diff hist +20 parametric Local Metric Learning for Nearest Neighbor Classification →Learning the Weights
- 22:5622:56, 22 August 2013 diff hist +1 parametric Local Metric Learning for Nearest Neighbor Classification →Intention
- 22:5622:56, 22 August 2013 diff hist +43 parametric Local Metric Learning for Nearest Neighbor Classification →Intention
- 22:5522:55, 22 August 2013 diff hist +325 parametric Local Metric Learning for Nearest Neighbor Classification →Intention
- 16:1716:17, 22 August 2013 diff hist +19 parametric Local Metric Learning for Nearest Neighbor Classification →Intention
- 16:1716:17, 22 August 2013 diff hist +505 parametric Local Metric Learning for Nearest Neighbor Classification →Intention
- 15:4015:40, 22 August 2013 diff hist −5 parametric Local Metric Learning for Nearest Neighbor Classification →Intention
- 15:4015:40, 22 August 2013 diff hist +2 parametric Local Metric Learning for Nearest Neighbor Classification →Intention
- 15:3915:39, 22 August 2013 diff hist +352 parametric Local Metric Learning for Nearest Neighbor Classification No edit summary
14 August 2013
- 02:2502:25, 14 August 2013 diff hist +229 large-Scale Supervised Sparse Principal Component Analysis →Block Coordinate Ascent Algorithm
- 02:1702:17, 14 August 2013 diff hist +267 large-Scale Supervised Sparse Principal Component Analysis →Block Coordinate Ascent Algorithm
- 01:5401:54, 14 August 2013 diff hist +520 large-Scale Supervised Sparse Principal Component Analysis →Block Coordinate Ascent Algorithm
- 01:2701:27, 14 August 2013 diff hist +82 large-Scale Supervised Sparse Principal Component Analysis →Block Coordinate Ascent Algorithm
6 August 2013
- 13:1013:10, 6 August 2013 diff hist −26 large-Scale Supervised Sparse Principal Component Analysis →3. Block Coordinate Ascent Algorithm
- 13:0813:08, 6 August 2013 diff hist +24 N File:Algorithm.jpg algorithm for sparse PCA current
5 August 2013
- 21:2821:28, 5 August 2013 diff hist +9 large-Scale Supervised Sparse Principal Component Analysis →3. Block Coordinate Ascent Algorithm
- 21:0721:07, 5 August 2013 diff hist +67 large-Scale Supervised Sparse Principal Component Analysis →3. Block Coordinate Ascent Algorithm
- 13:4113:41, 5 August 2013 diff hist +250 large-Scale Supervised Sparse Principal Component Analysis →3. Block Coordinate Ascent Algorithm
- 13:3613:36, 5 August 2013 diff hist +480 large-Scale Supervised Sparse Principal Component Analysis →3. Block Coordinate Ascent Algorithm
- 13:2613:26, 5 August 2013 diff hist −40 large-Scale Supervised Sparse Principal Component Analysis →2. Primal problem
- 13:0913:09, 5 August 2013 diff hist +7 large-Scale Supervised Sparse Principal Component Analysis →2. Primal problem
- 13:0813:08, 5 August 2013 diff hist +13 large-Scale Supervised Sparse Principal Component Analysis →2. Primal problem
- 13:0413:04, 5 August 2013 diff hist +145 large-Scale Supervised Sparse Principal Component Analysis →3. Block Coordinate Ascent Algorithm
- 06:3506:35, 5 August 2013 diff hist +44 large-Scale Supervised Sparse Principal Component Analysis →2. Primal problem
- 06:3506:35, 5 August 2013 diff hist +384 large-Scale Supervised Sparse Principal Component Analysis →2. Primal problem
4 August 2013
- 22:5322:53, 4 August 2013 diff hist +897 large-Scale Supervised Sparse Principal Component Analysis →1. Introduction
- 22:5122:51, 4 August 2013 diff hist +67 stat946s13 →Set A
- 21:1221:12, 4 August 2013 diff hist +803 N large-Scale Supervised Sparse Principal Component Analysis Created page with "== 1. Introduction == The drawbacks of most existing technique: '''1 Drawbacks of Existing techniques''' Existing techniques include ad-hoc methods(e.g. factor rotation techn..."
- 20:4720:47, 4 August 2013 diff hist +59 stat946s13 →Set B
- 20:4620:46, 4 August 2013 diff hist +168 stat946s13 →Set B
18 July 2013
17 July 2013
13 July 2013
- 11:1311:13, 13 July 2013 diff hist +25 summary No edit summary
12 July 2013
- 23:0623:06, 12 July 2013 diff hist +832 summary →2. Mathematical Model
- 22:2022:20, 12 July 2013 diff hist +506 summary →2. Mathematical Model
- 21:1721:17, 12 July 2013 diff hist +344 summary No edit summary
- 19:4319:43, 12 July 2013 diff hist +1,685 summary No edit summary
9 July 2013
- 21:0421:04, 9 July 2013 diff hist +114 stat946s13 →Set A
4 July 2013
- 23:4123:41, 4 July 2013 diff hist +68 stat946s13 →Set A
- 12:5112:51, 4 July 2013 diff hist +73 stat946s13 →Set A
- 12:2012:20, 4 July 2013 diff hist +8 stat946s13 →Sing up for paper presentation
- 10:3310:33, 4 July 2013 diff hist 0 stat946s13 →Sing up for paper presentation
28 June 2013
- 22:5022:50, 28 June 2013 diff hist −36 stat946s13 →Set A
- 22:4822:48, 28 June 2013 diff hist +46 stat946s13 →Set A
- 11:3611:36, 28 June 2013 diff hist +3 stat946s13 →Sing up for paper presentation