User contributions for Alcateri
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22 October 2015
- 21:2121:21, 22 October 2015 diff hist −2 m parsing natural scenes and natural language with recursive neural networks →Input Representation: Adjusted some of the math formatting to make it easier to read.
- 12:5512:55, 22 October 2015 diff hist +1 f15Stat946PaperSignUp →Set A
- 12:5512:55, 22 October 2015 diff hist +2 f15Stat946PaperSignUp →Set B
- 12:5412:54, 22 October 2015 diff hist 0 f15Stat946PaperSignUp →Set B
- 12:5312:53, 22 October 2015 diff hist +122 f15Stat946PaperSignUp No edit summary
13 October 2015
- 22:2122:21, 13 October 2015 diff hist 0 proposal for STAT946 (Deep Learning) final projects Fall 2015 No edit summary
- 22:2022:20, 13 October 2015 diff hist +750 proposal for STAT946 (Deep Learning) final projects Fall 2015 No edit summary
2 October 2015
- 12:1212:12, 2 October 2015 diff hist +74 f15Stat946PaperSignUp No edit summary
- 12:1112:11, 2 October 2015 diff hist +69 f15Stat946PaperSignUp No edit summary
- 12:0912:09, 2 October 2015 diff hist +72 f15Stat946PaperSignUp No edit summary
19 December 2014
- 19:1419:14, 19 December 2014 diff hist +19 stat841f14 →Learning Affine Transformations for Nonlinear Dimensionality Recuction (Lecture 19: Nov. 27, 2014)
- 19:0619:06, 19 December 2014 diff hist +328 stat841f14 →History: - Prevalence in chemometrics initially
- 18:5818:58, 19 December 2014 diff hist 0 stat841f14 →Non-negative Matrix Factorization Via Rank-one Doundate(NMF) (Lecture 13: Oct 27, 2014)
- 18:5318:53, 19 December 2014 diff hist +3 stat841f14 →K-Means++ Initialization
- 18:5318:53, 19 December 2014 diff hist +1,233 stat841f14 →Clustering (Lecture 15: Nov 3, 2014)
10 December 2014
- 10:5410:54, 10 December 2014 diff hist +97 stat841f14 →Derivation of HSIC: - Added detail and refinement to Lagrange Multiplier section
8 December 2014
- 12:4912:49, 8 December 2014 diff hist +996 stat841f14 →Classical Fisher's discriminant analysis (FDA): - Included a description of the FDA algorithm for the 2-class problem
- 12:3612:36, 8 December 2014 diff hist +1,009 stat841f14 →Classical Fisher's discriminant analysis (FDA)
- 11:4711:47, 8 December 2014 diff hist +2 stat841f14 →Locally Linear Embedding (LLE)
- 11:4511:45, 8 December 2014 diff hist +278 stat841f14 →ISOMAP
7 December 2014
- 13:0113:01, 7 December 2014 diff hist +38 stat841f14 →Connection of Singular Value Decomposition to PCA
- 12:5812:58, 7 December 2014 diff hist −6 stat841f14 →Introduction
- 12:5712:57, 7 December 2014 diff hist +28 m stat841f14 →Introduction
- 12:5512:55, 7 December 2014 diff hist +23 m stat841f14 →Introduction
22 November 2014
- 10:2610:26, 22 November 2014 diff hist +4 m stat841f14 →Multidimensional scaling
- 10:2510:25, 22 November 2014 diff hist +2 m stat841f14 →Multidimensional scaling
- 10:2410:24, 22 November 2014 diff hist −1 stat841f14 →Multidimensional scaling
- 10:2410:24, 22 November 2014 diff hist +1 m stat841f14 →Multidimensional scaling
31 October 2014
- 17:4917:49, 31 October 2014 diff hist −1 stat841f14 →Text/Image Biclustering, Nystrom Approximation, and Clustering (Lecture 14: Oct 29, 2014)
- 17:4717:47, 31 October 2014 diff hist +403 stat841f14 →Text/Image Biclustering, Nystrom Approximation, and Clustering (Lecture 14: Oct 29, 2014)
- 17:2917:29, 31 October 2014 diff hist +299 stat841f14 →Text/Image Biclustering, Nystrom Approximation, and Clustering (Lecture 14: Oct 29, 2014)
- 17:1317:13, 31 October 2014 diff hist +218 stat841f14 →Text/Image Biclustering, Nystrom Approximation, and Clustering (Lecture 14: Oct 29, 2014)
- 17:0917:09, 31 October 2014 diff hist +324 stat841f14 →Text/Image Biclustering, Nystrom Approximation, and Clustering (Lecture 14: Oct 29, 2014)
- 17:0317:03, 31 October 2014 diff hist +12 stat841f14 →Text/Image Biclustering, Nystrom Approximation, and Clustering (Lecture 14: Oct 29, 2014)
- 17:0217:02, 31 October 2014 diff hist +1 stat841f14 →Text/Image Biclustering, Nystrom Approximation, and Clustering (Lecture 14: Oct 29, 2014)
- 17:0217:02, 31 October 2014 diff hist −10 stat841f14 →Text/Image Biclustering, Nystrom Approximation, and Clustering (Lecture 14: Oct 29, 2014)
- 17:0117:01, 31 October 2014 diff hist +368 stat841f14 →Text/Image Biclustering, Nystrom Approximation, and Clustering (Lecture 14: Oct 29, 2014)
- 16:4116:41, 31 October 2014 diff hist +149 stat841f14 →Text/Image Biclustering, Nystrom Approximation, and Clustering (Lecture 14: Oct 29, 2014)
- 16:3516:35, 31 October 2014 diff hist +3 stat841f14 →Text/Image Biclustering, Nystrom Approximation, and Clustering (Lecture 14: Oct 29, 2014)
- 16:1916:19, 31 October 2014 diff hist +214 stat841f14 →Text/Image Biclustering, Nystrom Approximation, and Clustering (Lecture 14: Oct 29, 2014)
- 15:1715:17, 31 October 2014 diff hist +343 stat841f14 →Text and Image Biclustering
- 15:1415:14, 31 October 2014 diff hist +191 stat841f14 →Nystrom Approximation and Clustering (Lecture 14: Oct 29, 2014)
- 12:3912:39, 31 October 2014 diff hist 0 m stat841f14 →Kernel principle component analysis: - Changed typo in the title
15 October 2014
- 14:5414:54, 15 October 2014 diff hist +1 m stat841f14 →Spectral Clustering Results: Fixed wording describing the figures
6 October 2014
- 22:1622:16, 6 October 2014 diff hist +373 m stat841f14 →Centering for kernel PCA: - Updating to show how it would be used in Kernel PCA in practice.
- 15:1715:17, 6 October 2014 diff hist +17 f14Stat842EditorSignUp No edit summary