User contributions for Z47xu

27 August 2013

• 13:2913:29, 27 August 2013 diff hist −68‎ stat946s13 ‎ →‎Set A

25 August 2013

• 22:4822:48, 25 August 2013 diff hist +3‎ nonparametric Latent Feature Models for Link Prediction ‎ →‎Basic model
• 22:4322:43, 25 August 2013 diff hist 0‎ nonparametric Latent Feature Models for Link Prediction ‎ →‎Basic model
• 22:4222:42, 25 August 2013 diff hist +288‎ nonparametric Latent Feature Models for Link Prediction ‎ →‎Basic model
• 22:3822:38, 25 August 2013 diff hist +7‎ nonparametric Latent Feature Models for Link Prediction ‎ →‎Basic model
• 22:3622:36, 25 August 2013 diff hist +148‎ nonparametric Latent Feature Models for Link Prediction ‎ →‎The nonparametric latent feature relational model
• 22:2822:28, 25 August 2013 diff hist −4‎ nonparametric Latent Feature Models for Link Prediction ‎ →‎Basic model
• 22:2722:27, 25 August 2013 diff hist +85‎ nonparametric Latent Feature Models for Link Prediction ‎ →‎Basic model
• 22:1222:12, 25 August 2013 diff hist +97‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎4. Optimization strategies
• 22:0522:05, 25 August 2013 diff hist +2‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎4. Optimization strategies
• 22:0022:00, 25 August 2013 diff hist +7‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎4. Optimization strategies
• 21:5821:58, 25 August 2013 diff hist −1‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎4. Optimization strategies
• 21:5521:55, 25 August 2013 diff hist +26‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎4. Optimization strategies
• 21:4221:42, 25 August 2013 diff hist −14‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎4. Optimization strategies
• 21:4121:41, 25 August 2013 diff hist +14‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎4. Optimization strategies
• 21:4021:40, 25 August 2013 diff hist +131‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎4. Optimization strategies
• 21:2321:23, 25 August 2013 diff hist +511‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎1. Intention
• 03:2403:24, 25 August 2013 diff hist +160‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎3. Optimization problems for three loss functions
• 00:5000:50, 25 August 2013 diff hist +3‎ adaptive dimension reduction for clustering high dimensional data ‎ →‎7. Discussion
• 00:4600:46, 25 August 2013 diff hist +147‎ adaptive dimension reduction for clustering high dimensional data ‎ →‎7. Discussion
• 00:2800:28, 25 August 2013 diff hist +13‎ adaptive dimension reduction for clustering high dimensional data ‎ →‎7. Discussion
• 00:2600:26, 25 August 2013 diff hist +1‎ adaptive dimension reduction for clustering high dimensional data ‎ →‎7. Discussion
• 00:2600:26, 25 August 2013 diff hist +1‎ adaptive dimension reduction for clustering high dimensional data ‎ →‎7. Discussion
• 00:2600:26, 25 August 2013 diff hist +659‎ adaptive dimension reduction for clustering high dimensional data ‎ →‎7. Discussion
• 00:2300:23, 25 August 2013 diff hist +174‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎3. Optimization problems for three loss functions

24 August 2013

• 22:5622:56, 24 August 2013 diff hist +20‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎No edit summary
• 21:2621:26, 24 August 2013 diff hist +39‎ adaptive dimension reduction for clustering high dimensional data ‎ →‎2. Effective Dimension for Clustering
• 21:2521:25, 24 August 2013 diff hist +15‎ adaptive dimension reduction for clustering high dimensional data ‎ →‎2. Effective Dimension for Clustering
• 21:2421:24, 24 August 2013 diff hist +13‎ adaptive dimension reduction for clustering high dimensional data ‎ →‎2. Effective Dimension for Clustering
• 19:5419:54, 24 August 2013 diff hist +161‎ residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models ‎ →‎Low Rank Plus Sparse Inverse
• 19:4119:41, 24 August 2013 diff hist +1‎ residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models ‎ →‎Maximum likelihood RCA
• 19:3619:36, 24 August 2013 diff hist +496‎ residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models ‎ →‎Maximum likelihood RCA
• 19:3219:32, 24 August 2013 diff hist +84‎ inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method ‎ →‎Optimization
• 19:2819:28, 24 August 2013 diff hist 0‎ inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method ‎ →‎Optimization
• 19:2719:27, 24 August 2013 diff hist 0‎ inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method ‎ →‎Optimization
• 16:5416:54, 24 August 2013 diff hist +3‎ nonparametric Latent Feature Models for Link Prediction ‎ →‎Basic model
• 16:5316:53, 24 August 2013 diff hist 0‎ nonparametric Latent Feature Models for Link Prediction ‎ →‎Full model
• 16:5116:51, 24 August 2013 diff hist +80‎ nonparametric Latent Feature Models for Link Prediction ‎ →‎Basic model
• 00:5100:51, 24 August 2013 diff hist +471‎ inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method ‎ →‎Optimization

23 August 2013

• 23:2023:20, 23 August 2013 diff hist −35‎ inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method ‎ →‎Side Information as Grouping Constraints
• 23:0823:08, 23 August 2013 diff hist +200‎ metric and Kernel Learning Using a Linear Transformation ‎ →‎Previous work
• 23:0523:05, 23 August 2013 diff hist −347‎ metric and Kernel Learning Using a Linear Transformation ‎ →‎Introduction
• 22:0022:00, 23 August 2013 diff hist +447‎ parametric Local Metric Learning for Nearest Neighbor Classification ‎ →‎Prepared Knowledge
• 21:4221:42, 23 August 2013 diff hist +164‎ parametric Local Metric Learning for Nearest Neighbor Classification ‎ →‎Prepared Knowledge
• 15:1215:12, 23 August 2013 diff hist +391‎ parametric Local Metric Learning for Nearest Neighbor Classification ‎No edit summary
• 14:5114:51, 23 August 2013 diff hist +296‎ rOBPCA: A New Approach to Robust Principal Component Analysis ‎ →‎Detailed ROBPCA algorithm
• 14:3714:37, 23 August 2013 diff hist +204‎ rOBPCA: A New Approach to Robust Principal Component Analysis ‎ →‎Simulations
• 13:5113:51, 23 August 2013 diff hist +558‎ cardinality Restricted Boltzmann Machines ‎ →‎Experiments
• 13:0213:02, 23 August 2013 diff hist +3‎ kernelized Locality-Sensitive Hashing ‎ →‎Experimental Result
• 13:0213:02, 23 August 2013 diff hist +1,431‎ kernelized Locality-Sensitive Hashing ‎ →‎Experimental Result