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16 August 2013
- 11:4611:46, 16 August 2013 diff hist +3 metric and Kernel Learning Using a Linear Transformation →LogDet Divergence Based Metric Learning
- 11:4511:45, 16 August 2013 diff hist +220 metric and Kernel Learning Using a Linear Transformation →LogDet Divergence Based Metric Learning
- 11:4011:40, 16 August 2013 diff hist +4 metric and Kernel Learning Using a Linear Transformation →LogDet Divergence Based Metric Learning
12 August 2013
- 17:0517:05, 12 August 2013 diff hist +300 nonparametric Latent Feature Models for Link Prediction →Inference
- 17:0017:00, 12 August 2013 diff hist +150 nonparametric Latent Feature Models for Link Prediction →Inference
- 16:4816:48, 12 August 2013 diff hist −1 nonparametric Latent Feature Models for Link Prediction →Discussion
- 16:4516:45, 12 August 2013 diff hist +265 large-Scale Supervised Sparse Principal Component Analysis →Block Coordinate Ascent Algorithm
- 16:3816:38, 12 August 2013 diff hist +401 large-Scale Supervised Sparse Principal Component Analysis →Introduction
- 16:2916:29, 12 August 2013 diff hist −6 large-Scale Supervised Sparse Principal Component Analysis →3. Block Coordinate Ascent Algorithm
- 16:2916:29, 12 August 2013 diff hist −6 large-Scale Supervised Sparse Principal Component Analysis →2. Primal problem
- 16:2916:29, 12 August 2013 diff hist −5 large-Scale Supervised Sparse Principal Component Analysis →1. Introduction
10 August 2013
- 17:4317:43, 10 August 2013 diff hist −24 cardinality Restricted Boltzmann Machines →Using CaRBM for DBNs
- 17:4217:42, 10 August 2013 diff hist +1,417 cardinality Restricted Boltzmann Machines →Using CaRBM for DBNs
- 16:0316:03, 10 August 2013 diff hist −1 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Experiments
- 16:0216:02, 10 August 2013 diff hist +330 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Experiments
- 16:0216:02, 10 August 2013 diff hist 0 N File:GarciaF22.jpg No edit summary current
- 16:0216:02, 10 August 2013 diff hist 0 N File:GarciaF21.jpg No edit summary current
- 15:4815:48, 10 August 2013 diff hist −4 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Discussion
- 15:4315:43, 10 August 2013 diff hist +1 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Low Rank Plus Sparse Inverse
- 15:4115:41, 10 August 2013 diff hist +25 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Low Rank Plus Sparse Inverse
- 12:4512:45, 10 August 2013 diff hist +12 rOBPCA: A New Approach to Robust Principal Component Analysis →Simulations
- 12:4412:44, 10 August 2013 diff hist +2 rOBPCA: A New Approach to Robust Principal Component Analysis →Simulations
- 12:4412:44, 10 August 2013 diff hist 0 rOBPCA: A New Approach to Robust Principal Component Analysis →Simulations
- 12:4212:42, 10 August 2013 diff hist +2,416 rOBPCA: A New Approach to Robust Principal Component Analysis →Simulations
- 12:4112:41, 10 August 2013 diff hist 0 N File:GarciaF20.jpg No edit summary current
- 12:4112:41, 10 August 2013 diff hist 0 N File:GarciaF19.jpg No edit summary current
- 12:4012:40, 10 August 2013 diff hist 0 N File:GarciaF18.jpg No edit summary current
- 12:4012:40, 10 August 2013 diff hist 0 N File:GarciaF17.jpg No edit summary current
- 12:3912:39, 10 August 2013 diff hist 0 N File:GarciaF16.jpg No edit summary current
- 12:3912:39, 10 August 2013 diff hist 0 N File:GarciaF15.jpg No edit summary current
- 12:3912:39, 10 August 2013 diff hist 0 N File:GarciaF14.jpg No edit summary current
- 11:5411:54, 10 August 2013 diff hist 0 N File:GarciaF13.jpg No edit summary current
- 11:5411:54, 10 August 2013 diff hist +570 rOBPCA: A New Approach to Robust Principal Component Analysis →Examples
- 11:4711:47, 10 August 2013 diff hist 0 N File:GarciaF12.jpg No edit summary current
9 August 2013
- 16:1716:17, 9 August 2013 diff hist +1,439 rOBPCA: A New Approach to Robust Principal Component Analysis →Diagnostic
- 16:1516:15, 9 August 2013 diff hist 0 N File:GarciaF11.jpg No edit summary current
- 15:3515:35, 9 August 2013 diff hist +296 rOBPCA: A New Approach to Robust Principal Component Analysis →Detailed ROBPCA algorithm
- 15:0915:09, 9 August 2013 diff hist −8 rOBPCA: A New Approach to Robust Principal Component Analysis →Detailed ROBPCA algorithm
- 15:0715:07, 9 August 2013 diff hist +1 rOBPCA: A New Approach to Robust Principal Component Analysis →Detailed ROBPCA algorithm
- 15:0615:06, 9 August 2013 diff hist +11 rOBPCA: A New Approach to Robust Principal Component Analysis →Detailed ROBPCA algorithm
- 15:0515:05, 9 August 2013 diff hist +8,296 N rOBPCA: A New Approach to Robust Principal Component Analysis Created page with "=Introduction= Principal component analysis (PCA) is a useful tool in statistical learning, which tries to preserve the variability by a small number of principal components. In..."
24 July 2013
- 12:3112:31, 24 July 2013 diff hist 0 parametric Local Metric Learning for Nearest Neighbor Classification →Learning the Weights
- 12:3112:31, 24 July 2013 diff hist 0 parametric Local Metric Learning for Nearest Neighbor Classification →Learning the Weights
- 12:2912:29, 24 July 2013 diff hist −2 parametric Local Metric Learning for Nearest Neighbor Classification →Learning the Weights
- 12:2712:27, 24 July 2013 diff hist +855 parametric Local Metric Learning for Nearest Neighbor Classification →Learning the Weights
20 July 2013
- 22:4322:43, 20 July 2013 diff hist +585 kernel Spectral Clustering for Community Detection in Complex Networks →Model Selection Criterion
- 22:3222:32, 20 July 2013 diff hist +1,143 kernel Spectral Clustering for Community Detection in Complex Networks →Selecting a Representative Subgraph
18 July 2013
- 16:0716:07, 18 July 2013 diff hist 0 maximum likelihood estimation of intrinsic dimension →Asymptotic behavior of the estimator
- 16:0616:06, 18 July 2013 diff hist 0 maximum likelihood estimation of intrinsic dimension →Asymptotic behavior of the estimator
14 July 2013
- 20:4720:47, 14 July 2013 diff hist +30 maximum likelihood estimation of intrinsic dimension →MLE of intrinsic dimension
- 20:4320:43, 14 July 2013 diff hist +4 maximum likelihood estimation of intrinsic dimension →Introduction
- 20:3920:39, 14 July 2013 diff hist −2 maximum likelihood estimation of intrinsic dimension →References
- 20:3920:39, 14 July 2013 diff hist +31 hamming Distance Metric Learning →Conclusion
- 20:3820:38, 14 July 2013 diff hist +1,010 hamming Distance Metric Learning →Conclusion
- 20:3820:38, 14 July 2013 diff hist 0 N File:GarciaF5.jpg No edit summary current
- 20:3720:37, 14 July 2013 diff hist 0 N File:GarciaF4.jpg No edit summary current
13 July 2013
- 23:1823:18, 13 July 2013 diff hist −2 maximum likelihood estimation of intrinsic dimension →Geometric methods
- 23:1523:15, 13 July 2013 diff hist −3 maximum likelihood estimation of intrinsic dimension →MLE of intrinsic dimension
- 23:1523:15, 13 July 2013 diff hist +31 maximum likelihood estimation of intrinsic dimension →Discussion
- 23:1523:15, 13 July 2013 diff hist −3 maximum likelihood estimation of intrinsic dimension →MLE of intrinsic dimension
- 23:1123:11, 13 July 2013 diff hist −11 maximum likelihood estimation of intrinsic dimension →MLE of intrinsic dimension
- 23:0723:07, 13 July 2013 diff hist −9 maximum likelihood estimation of intrinsic dimension →Geometric methods
- 23:0723:07, 13 July 2013 diff hist 0 maximum likelihood estimation of intrinsic dimension →Introduction
- 23:0223:02, 13 July 2013 diff hist 0 maximum likelihood estimation of intrinsic dimension →Experiments and comparison
- 23:0123:01, 13 July 2013 diff hist −3 maximum likelihood estimation of intrinsic dimension →Experiments and comparison
- 22:5922:59, 13 July 2013 diff hist 0 File:GarciaF1.jpg uploaded a new version of "File:GarciaF1.jpg": F1 current
- 22:5622:56, 13 July 2013 diff hist +14,522 maximum likelihood estimation of intrinsic dimension No edit summary
9 July 2013
- 22:0122:01, 9 July 2013 diff hist 0 N File:GarciaF3.jpg No edit summary current
- 22:0122:01, 9 July 2013 diff hist 0 N File:GarciaF2.jpg No edit summary current
- 22:0122:01, 9 July 2013 diff hist 0 N File:GarciaF1.jpg No edit summary
8 July 2013
- 18:3318:33, 8 July 2013 diff hist +1,856 s13Stat946proposal →Project 1 : How to Build a Bird House
7 July 2013
- 16:0916:09, 7 July 2013 diff hist +740 positive Semidefinite Metric Learning Using Boosting-like Algorithms →3. Optimization strategies
- 15:4015:40, 7 July 2013 diff hist +68 positive Semidefinite Metric Learning Using Boosting-like Algorithms →1. Mathematical model of the problem
- 14:5814:58, 7 July 2013 diff hist +595 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Selecting Hyper-parameter
3 July 2013
- 17:2217:22, 3 July 2013 diff hist −1,195 maximum likelihood estimation of intrinsic dimension Blanked the page
- 17:2117:21, 3 July 2013 diff hist +1,195 N maximum likelihood estimation of intrinsic dimension Created page with "==Introduction== In dimensionality reduction (or manifold-learning) , the foundation of all methods is the belief that the observed data <math>\left\{ \mathbf{x}_{j} \right\}</ma..."
2 July 2013
- 13:4913:49, 2 July 2013 diff hist +242 stat946s13 →Set B
- 13:4713:47, 2 July 2013 diff hist +249 stat946s13 →Set A
- 13:4513:45, 2 July 2013 diff hist −13 stat946s13 →Sing up for paper presentation
- 13:4413:44, 2 July 2013 diff hist +7 stat946s13 →Sing up for paper presentation
24 June 2013
20 June 2013
1 December 2009
- 15:5415:54, 1 December 2009 diff hist +285 stat841 →Naive Bayes, Decision Trees, K Nearest Neighbours, Boosting, and Bagging - November 25, 2009
- 15:4715:47, 1 December 2009 diff hist +1 stat841 →Potential drawbacks
- 15:4615:46, 1 December 2009 diff hist +1 stat841 →Potential drawbacks
- 15:4415:44, 1 December 2009 diff hist +861 stat841 →The SVM algorithm for non-separable data sets
29 November 2009
- 21:3321:33, 29 November 2009 diff hist 0 stat841 →Commends about Linear regression model
- 21:0521:05, 29 November 2009 diff hist +3 stat841 →Interpretation of RBF Network classification
- 20:5420:54, 29 November 2009 diff hist +461 stat841 →Interpretation of RBF Network classification
- 20:4320:43, 29 November 2009 diff hist +61 stat841 →Stein's unbiased risk estimate (SURE)
- 20:4020:40, 29 November 2009 diff hist +60 stat841 →RBF Network for classification (A probabilistic point of view)
- 16:2516:25, 29 November 2009 diff hist +1,300 stat841 →Extension
- 16:1716:17, 29 November 2009 diff hist +2,774 stat841 →Commends about Linear regression model
- 16:0816:08, 29 November 2009 diff hist +48 stat841 →A linear regression example in Matlab
26 November 2009
- 16:4316:43, 26 November 2009 diff hist 0 stat841 →Ficher's Discriminant Analysis (FDA)
- 16:1716:17, 26 November 2009 diff hist +5 stat841 →LDA and QDA in Matlab - October 7, 2009
- 16:1416:14, 26 November 2009 diff hist +275 stat841 →LDA and QDA in Matlab - October 7, 2009
- 16:0216:02, 26 November 2009 diff hist +681 stat841 →Linear and Quadratic Discriminant Analysis cont'd - October 5, 2009