Pages with the fewest revisions

Showing below up to 50 results in range #21 to #70.

21. ALBERT‏‎ (2 revisions)
22. deflation Method for Penalized Matrix Decomposition Sparse PCA‏‎ (2 revisions)
23. Bsodjahi‏‎ (2 revisions)
24. Deep Transfer Learning with Joint Adaptation Networks‏‎ (2 revisions)
25. Curiosity-driven Exploration by Self-supervised Prediction‏‎ (2 revisions)
26. mark your contribution here‏‎ (2 revisions)
27. copyofstat341‏‎ (2 revisions)
28. stat946f15/Deep neural networks for acoustic modeling in speech recognition‏‎ (2 revisions)
29. proof of Lemma 1‏‎ (2 revisions)
30. link to my paper‏‎ (2 revisions)
31. proof‏‎ (2 revisions)
32. video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (2 revisions)
33. acceptance-Rejection Sampling‏‎ (3 revisions)
34. techniques for Normal and Gamma Sampling‏‎ (3 revisions)
35. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (3 revisions)
36. sandbox to test w2l‏‎ (3 revisions)
37. deepGenerativeModels‏‎ (3 revisions)
38. quantifying cancer progression with conjunctive Bayesian networks‏‎ (3 revisions)
39. wikicoursenote:cleanup‏‎ (3 revisions)
40. mark Your Contribution here‏‎ (3 revisions)
41. binomial Probability Monte Carlo Sampling June 2 2009‏‎ (3 revisions)
42. generating Random Numbers‏‎ (3 revisions)
43. Do Vision Transformers See Like CNN‏‎ (3 revisions)
44. stat946f17‏‎ (3 revisions)
45. test1‏‎ (4 revisions)
46. Another look at distance-weighted discrimination‏‎ (4 revisions)
47. wikicoursenote:Manual of Style‏‎ (4 revisions)
48. learning2reasoning‏‎ (4 revisions)
49. importance Sampling June 2 2009‏‎ (4 revisions)
50. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction‏‎ (4 revisions)
51. stat946f11pool‏‎ (4 revisions)
52. Hash Embeddings for Efficient Word Representations‏‎ (5 revisions)
53. tRIAL for that odd behaviour‏‎ (5 revisions)
54. stat946-Fall 2010‏‎ (5 revisions)
55. singular Value Decomposition(SVD)‏‎ (5 revisions)
56. proof of Theorem 1‏‎ (5 revisions)
57. again on Markov Chain‏‎ (5 revisions)
58. the Manifold Tangent Classifier‏‎ (6 revisions)
59. Batch Normalization Summary‏‎ (6 revisions)
60. bayesian and Frequentist Schools of Thought‏‎ (7 revisions)
61. Batch Normalization‏‎ (7 revisions)
62. importance Sampling and Monte Carlo Simulation‏‎ (7 revisions)
63. importance Sampling and Markov Chain Monte Carlo (MCMC)‏‎ (7 revisions)
64. on the Number of Linear Regions of Deep Neural Networks‏‎ (7 revisions)
65. stat946f15‏‎ (7 revisions)
66. quantifying cancer progression with conjunctive Bayesian networks.‏‎ (8 revisions)
67. measuring and testing dependence by correlation of distances‏‎ (8 revisions)
68. markov Chain Definitions‏‎ (9 revisions)
69. monte Carlo Integration‏‎ (10 revisions)
70. Deep Residual Learning for Image Recognition Summary‏‎ (11 revisions)