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Showing below up to 50 results in range #1 to #50.

1. 13Stat946papers‏‎ (22:41, 18 June 2013)
2. stat341 / CM 361‏‎ (09:45, 30 August 2017)
3. monte Carlo methods‏‎ (09:45, 30 August 2017)
4. schedule946‏‎ (09:45, 30 August 2017)
5. schedule‏‎ (09:45, 30 August 2017)
6. stat946f10‏‎ (09:45, 30 August 2017)
7. importance Sampling June 2 2009‏‎ (09:45, 30 August 2017)
8. maximum Variance Unfolding (June 2 2009)‏‎ (09:45, 30 August 2017)
9. binomial Probability Monte Carlo Sampling June 2 2009‏‎ (09:45, 30 August 2017)
10. techniques for Normal and Gamma Sampling‏‎ (09:45, 30 August 2017)
11. generating Random Numbers‏‎ (09:45, 30 August 2017)
12. acceptance-Rejection Sampling‏‎ (09:45, 30 August 2017)
13. bayesian and Frequentist Schools of Thought‏‎ (09:45, 30 August 2017)
14. a Deeper Look into Importance Sampling‏‎ (09:45, 30 August 2017)
15. importance Sampling and Monte Carlo Simulation‏‎ (09:45, 30 August 2017)
16. monte Carlo Integration‏‎ (09:45, 30 August 2017)
17. markov Chain Definitions‏‎ (09:45, 30 August 2017)
18. again on Markov Chain‏‎ (09:45, 30 August 2017)
19. importance Sampling and Markov Chain Monte Carlo (MCMC)‏‎ (09:45, 30 August 2017)
20. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (09:45, 30 August 2017)
21. paper 13‏‎ (09:45, 30 August 2017)
22. measuring Statistical Dependence with Hilbert-Schmidt Norm‏‎ (09:45, 30 August 2017)
23. sparse PCA‏‎ (09:45, 30 August 2017)
24. proposal for STAT946 projects‏‎ (09:45, 30 August 2017)
25. learning Spectral Clustering, With Application To Speech Separation‏‎ (09:45, 30 August 2017)
26. neighbourhood Components Analysis‏‎ (09:45, 30 August 2017)
27. visualizing Similarity Data with a Mixture of Maps‏‎ (09:45, 30 August 2017)
28. learning a Nonlinear Embedding by Preserving Class Neighborhood Structure‏‎ (09:45, 30 August 2017)
29. convex and Semi Nonnegative Matrix Factorization‏‎ (09:45, 30 August 2017)
30. independent Component Analysis: algorithms and applications‏‎ (09:45, 30 August 2017)
31. nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization‏‎ (09:45, 30 August 2017)
32. relevant Component Analysis‏‎ (09:45, 30 August 2017)
33. graph Laplacian Regularization for Larg-Scale Semidefinite Programming‏‎ (09:45, 30 August 2017)
34. visualizing Data using t-SNE‏‎ (09:45, 30 August 2017)
35. kernelized Sorting‏‎ (09:45, 30 August 2017)
36. maximum-Margin Matrix Factorization‏‎ (09:45, 30 August 2017)
37. regression on Manifold using Kernel Dimension Reduction‏‎ (09:45, 30 August 2017)
38. stat841‏‎ (09:45, 30 August 2017)
39. statf09841Proposal‏‎ (09:45, 30 August 2017)
40. statf09841Scribe‏‎ (09:45, 30 August 2017)
41. test1‏‎ (09:45, 30 August 2017)
42. wikicoursenote:Manual of Style‏‎ (09:45, 30 August 2017)
43. infoboxtest‏‎ (09:45, 30 August 2017)
44. stat841f10‏‎ (09:45, 30 August 2017)
45. statf10841Scribe‏‎ (09:45, 30 August 2017)
46. proposal for STAT946 projects Fall 2010‏‎ (09:45, 30 August 2017)
47. stat946-Fall 2010‏‎ (09:45, 30 August 2017)
48. wikicoursenote:cleanup‏‎ (09:45, 30 August 2017)
49. proposal Fall 2010‏‎ (09:45, 30 August 2017)
50. f10 Stat841 digest‏‎ (09:45, 30 August 2017)