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Showing below up to 100 results in range #221 to #320.

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  1. deep neural networks for acoustic modeling in speech recognition
  2. deflation Method for Penalized Matrix Decomposition Sparse PCA
  3. deflation Methods for Sparse PCA
  4. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces
  5. discLDA: Discriminative Learning for Dimensionality Reduction and Classification
  6. distributed Representations of Words and Phrases and their Compositionality
  7. f11Stat841EditorSignUp
  8. f11Stat841presentation
  9. f11Stat841proposal
  10. f11Stat946papers
  11. f11Stat946presentation
  12. f11stat946EditorSignUp
  13. f14Stat842EditorSignUp
  14. f15Stat946PaperSignUp
  15. f17Stat946PaperSignUp
  16. generating Random Numbers
  17. genetics
  18. hamming Distance Metric Learning
  19. hierarchical Dirichlet Processes
  20. importance Sampling June 2 2009
  21. importance Sampling and Markov Chain Monte Carlo (MCMC)
  22. importance Sampling and Monte Carlo Simulation
  23. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)
  24. independent Component Analysis: algorithms and applications
  25. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction
  26. kernel Dimension Reduction in Regression
  27. kernel Spectral Clustering for Community Detection in Complex Networks
  28. kernelized Locality-Sensitive Hashing
  29. kernelized Sorting
  30. learn what not to learn
  31. learning2reasoning
  32. learning Convolutional Feature Hierarchies for Visual Recognition
  33. learning Fast Approximations of Sparse Coding
  34. learning Spectral Clustering, With Application To Speech Separation
  35. learning a Nonlinear Embedding by Preserving Class Neighborhood Structure
  36. link to my paper
  37. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION
  38. main Page
  39. mark Your Contribution here
  40. mark your contribution here
  41. markov Chain Definitions
  42. matrix Completion with Noise
  43. maximum-Margin Matrix Factorization
  44. maximum Variance Unfolding (June 2 2009)
  45. maximum likelihood estimation of intrinsic dimension
  46. meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
  47. measuring Statistical Dependence with Hilbert-Schmidt Norm
  48. measuring and testing dependence by correlation of distances
  49. monte Carlo Integration
  50. monte Carlo methods
  51. neighbourhood Components Analysis
  52. neural Machine Translation: Jointly Learning to Align and Translate
  53. nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization
  54. nonparametric Latent Feature Models for Link Prediction
  55. on using very large target vocabulary for neural machine translation
  56. orthogonal gradient descent for continual learning
  57. overfeat: integrated recognition, localization and detection using convolutional networks
  58. paper 13
  59. paper Summaries
  60. policy optimization with demonstrations
  61. proof
  62. proof of Lemma 1
  63. proof of Theorem 1
  64. proposal Fall 2010
  65. proposal for STAT946 (Deep Learning) final projects Fall 2015
  66. proposal for STAT946 projects
  67. proposal for STAT946 projects Fall 2010
  68. quantifying cancer progression with conjunctive Bayesian networks.
  69. rOBPCA: A New Approach to Robust Principal Component Analysis
  70. regression on Manifold using Kernel Dimension Reduction
  71. relevant Component Analysis
  72. residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models
  73. s13Stat946proposal
  74. sandbox to test w2l
  75. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines
  76. schedule
  77. schedule946
  78. schedule of Project Presentations
  79. self-Taught Learning
  80. show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  81. sign up for your presentation
  82. signupformStat341F11
  83. singular Value Decomposition(SVD)
  84. sparse PCA
  85. stat441F18
  86. stat441F18/TCNLM
  87. stat441F18/YOLO
  88. stat441F21
  89. stat441w18
  90. stat441w18/A New Method of Region Embedding for Text Classification
  91. stat441w18/Convolutional Neural Networks for Sentence Classification
  92. stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction
  93. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction
  94. stat441w18/e-gan
  95. stat441w18/mastering-chess-and-shogi-self-play
  96. stat441w18/summary 1
  97. stat841F18/
  98. stat940F21
  99. stat946-Fall 2010
  100. stat946F18

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