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Showing below up to 50 results in range #11 to #60.

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  1. binomial Probability Monte Carlo Sampling June 2 2009‏‎ (09:45, 30 August 2017)
  2. acceptance-Rejection Sampling‏‎ (09:45, 30 August 2017)
  3. bayesian and Frequentist Schools of Thought‏‎ (09:45, 30 August 2017)
  4. a Deeper Look into Importance Sampling‏‎ (09:45, 30 August 2017)
  5. monte Carlo Integration‏‎ (09:45, 30 August 2017)
  6. importance Sampling and Monte Carlo Simulation‏‎ (09:45, 30 August 2017)
  7. again on Markov Chain‏‎ (09:45, 30 August 2017)
  8. markov Chain Definitions‏‎ (09:45, 30 August 2017)
  9. importance Sampling and Markov Chain Monte Carlo (MCMC)‏‎ (09:45, 30 August 2017)
  10. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (09:45, 30 August 2017)
  11. paper 13‏‎ (09:45, 30 August 2017)
  12. measuring Statistical Dependence with Hilbert-Schmidt Norm‏‎ (09:45, 30 August 2017)
  13. sparse PCA‏‎ (09:45, 30 August 2017)
  14. proposal for STAT946 projects‏‎ (09:45, 30 August 2017)
  15. learning Spectral Clustering, With Application To Speech Separation‏‎ (09:45, 30 August 2017)
  16. neighbourhood Components Analysis‏‎ (09:45, 30 August 2017)
  17. visualizing Similarity Data with a Mixture of Maps‏‎ (09:45, 30 August 2017)
  18. learning a Nonlinear Embedding by Preserving Class Neighborhood Structure‏‎ (09:45, 30 August 2017)
  19. convex and Semi Nonnegative Matrix Factorization‏‎ (09:45, 30 August 2017)
  20. independent Component Analysis: algorithms and applications‏‎ (09:45, 30 August 2017)
  21. nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization‏‎ (09:45, 30 August 2017)
  22. graph Laplacian Regularization for Larg-Scale Semidefinite Programming‏‎ (09:45, 30 August 2017)
  23. relevant Component Analysis‏‎ (09:45, 30 August 2017)
  24. visualizing Data using t-SNE‏‎ (09:45, 30 August 2017)
  25. kernelized Sorting‏‎ (09:45, 30 August 2017)
  26. regression on Manifold using Kernel Dimension Reduction‏‎ (09:45, 30 August 2017)
  27. maximum-Margin Matrix Factorization‏‎ (09:45, 30 August 2017)
  28. stat841‏‎ (09:45, 30 August 2017)
  29. statf09841Proposal‏‎ (09:45, 30 August 2017)
  30. test1‏‎ (09:45, 30 August 2017)
  31. wikicoursenote:Manual of Style‏‎ (09:45, 30 August 2017)
  32. infoboxtest‏‎ (09:45, 30 August 2017)
  33. statf09841Scribe‏‎ (09:45, 30 August 2017)
  34. stat841f10‏‎ (09:45, 30 August 2017)
  35. stat946-Fall 2010‏‎ (09:45, 30 August 2017)
  36. wikicoursenote:cleanup‏‎ (09:45, 30 August 2017)
  37. statf10841Scribe‏‎ (09:45, 30 August 2017)
  38. proposal for STAT946 projects Fall 2010‏‎ (09:45, 30 August 2017)
  39. proposal Fall 2010‏‎ (09:45, 30 August 2017)
  40. sign up for your presentation‏‎ (09:45, 30 August 2017)
  41. schedule of Project Presentations‏‎ (09:45, 30 August 2017)
  42. f10 Stat841 digest‏‎ (09:45, 30 August 2017)
  43. a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis‏‎ (09:45, 30 August 2017)
  44. proof of Theorem 1‏‎ (09:45, 30 August 2017)
  45. paper Summaries‏‎ (09:45, 30 August 2017)
  46. proof of Lemma 1‏‎ (09:45, 30 August 2017)
  47. discLDA: Discriminative Learning for Dimensionality Reduction and Classification‏‎ (09:45, 30 August 2017)
  48. a Direct Formulation For Sparse PCA Using Semidefinite Programming‏‎ (09:45, 30 August 2017)
  49. self-Taught Learning‏‎ (09:45, 30 August 2017)
  50. compressive Sensing‏‎ (09:45, 30 August 2017)

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