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Showing below up to 100 results in range #51 to #150.

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  1. sign up for your presentation‏‎ (09:45, 30 August 2017)
  2. schedule of Project Presentations‏‎ (09:45, 30 August 2017)
  3. proof of Theorem 1‏‎ (09:45, 30 August 2017)
  4. paper Summaries‏‎ (09:45, 30 August 2017)
  5. proof of Lemma 1‏‎ (09:45, 30 August 2017)
  6. a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis‏‎ (09:45, 30 August 2017)
  7. discLDA: Discriminative Learning for Dimensionality Reduction and Classification‏‎ (09:45, 30 August 2017)
  8. a Direct Formulation For Sparse PCA Using Semidefinite Programming‏‎ (09:45, 30 August 2017)
  9. self-Taught Learning‏‎ (09:45, 30 August 2017)
  10. deflation Methods for Sparse PCA‏‎ (09:45, 30 August 2017)
  11. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction‏‎ (09:45, 30 August 2017)
  12. compressive Sensing‏‎ (09:45, 30 August 2017)
  13. mark Your Contribution here‏‎ (09:45, 30 August 2017)
  14. mark your contribution here‏‎ (09:45, 30 August 2017)
  15. supervised Dictionary Learning‏‎ (09:45, 30 August 2017)
  16. link to my paper‏‎ (09:45, 30 August 2017)
  17. deflation Method for Penalized Matrix Decomposition Sparse PCA‏‎ (09:45, 30 August 2017)
  18. matrix Completion with Noise‏‎ (09:45, 30 August 2017)
  19. probabilistic Matrix Factorization‏‎ (09:45, 30 August 2017)
  20. uncovering Shared Structures in Multiclass Classification‏‎ (09:45, 30 August 2017)
  21. a Rank Minimization Heuristic with Application to Minimum Order System Approximation‏‎ (09:45, 30 August 2017)
  22. compressive Sensing (Candes)‏‎ (09:45, 30 August 2017)
  23. probabilistic PCA with GPLVM‏‎ (09:45, 30 August 2017)
  24. multi-Task Feature Learning‏‎ (09:45, 30 August 2017)
  25. optimal Solutions forSparse Principal Component Analysis‏‎ (09:45, 30 August 2017)
  26. consistency of Trace Norm Minimization‏‎ (09:45, 30 August 2017)
  27. copyofstat341‏‎ (09:45, 30 August 2017)
  28. a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization‏‎ (09:45, 30 August 2017)
  29. proof‏‎ (09:45, 30 August 2017)
  30. stat341f11‏‎ (09:45, 30 August 2017)
  31. f11Stat841EditorSignUp‏‎ (09:45, 30 August 2017)
  32. singular Value Decomposition(SVD)‏‎ (09:45, 30 August 2017)
  33. signupformStat341F11‏‎ (09:45, 30 August 2017)
  34. stat946f11‏‎ (09:45, 30 August 2017)
  35. f11Stat946presentation‏‎ (09:45, 30 August 2017)
  36. stat946f11pool‏‎ (09:45, 30 August 2017)
  37. compressed Sensing Reconstruction via Belief Propagation‏‎ (09:45, 30 August 2017)
  38. f11Stat946ass‏‎ (09:45, 30 August 2017)
  39. f11Stat946papers‏‎ (09:45, 30 August 2017)
  40. f11stat946EditorSignUp‏‎ (09:45, 30 August 2017)
  41. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (09:45, 30 August 2017)
  42. video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (09:45, 30 August 2017)
  43. contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (09:45, 30 August 2017)
  44. tRIAL for that odd behaviour‏‎ (09:45, 30 August 2017)
  45. a Dynamic Bayesian Network Click Model for Web Search Ranking‏‎ (09:45, 30 August 2017)
  46. contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks‏‎ (09:45, 30 August 2017)
  47. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (09:45, 30 August 2017)
  48. quantifying cancer progression with conjunctive Bayesian networks‏‎ (09:46, 30 August 2017)
  49. markov Random Fields for Super-Resolution‏‎ (09:46, 30 August 2017)
  50. quantifying cancer progression with conjunctive Bayesian networks.‏‎ (09:46, 30 August 2017)
  51. graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns‏‎ (09:46, 30 August 2017)
  52. video-based face recognition using Adaptive HMM‏‎ (09:46, 30 August 2017)
  53. an HDP-HMM for Systems with State Persistence‏‎ (09:46, 30 August 2017)
  54. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (09:46, 30 August 2017)
  55. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (09:46, 30 August 2017)
  56. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (09:46, 30 August 2017)
  57. stat340s13‏‎ (09:46, 30 August 2017)
  58. stat946s13‏‎ (09:46, 30 August 2017)
  59. s13Stat946proposal‏‎ (09:46, 30 August 2017)
  60. inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method‏‎ (09:46, 30 August 2017)
  61. residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models‏‎ (09:46, 30 August 2017)
  62. maximum likelihood estimation of intrinsic dimension‏‎ (09:46, 30 August 2017)
  63. hierarchical Dirichlet Processes‏‎ (09:46, 30 August 2017)
  64. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (09:46, 30 August 2017)
  65. hamming Distance Metric Learning‏‎ (09:46, 30 August 2017)
  66. kernel Dimension Reduction in Regression‏‎ (09:46, 30 August 2017)
  67. kernelized Locality-Sensitive Hashing‏‎ (09:46, 30 August 2017)
  68. parametric Local Metric Learning for Nearest Neighbor Classification‏‎ (09:46, 30 August 2017)
  69. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (09:46, 30 August 2017)
  70. adaptive dimension reduction for clustering high dimensional data‏‎ (09:46, 30 August 2017)
  71. the Indian Buffet Process: An Introduction and Review‏‎ (09:46, 30 August 2017)
  72. large-Scale Supervised Sparse Principal Component Analysis‏‎ (09:46, 30 August 2017)
  73. measuring and testing dependence by correlation of distances‏‎ (09:46, 30 August 2017)
  74. metric and Kernel Learning Using a Linear Transformation‏‎ (09:46, 30 August 2017)
  75. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (09:46, 30 August 2017)
  76. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (09:46, 30 August 2017)
  77. cardinality Restricted Boltzmann Machines‏‎ (09:46, 30 August 2017)
  78. nonparametric Latent Feature Models for Link Prediction‏‎ (09:46, 30 August 2017)
  79. stat841f14‏‎ (09:46, 30 August 2017)
  80. sandbox to test w2l‏‎ (09:46, 30 August 2017)
  81. f14Stat842EditorSignUp‏‎ (09:46, 30 August 2017)
  82. graves et al., Speech recognition with deep recurrent neural networks‏‎ (09:46, 30 August 2017)
  83. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (09:46, 30 August 2017)
  84. stat946f15‏‎ (09:46, 30 August 2017)
  85. overfeat: integrated recognition, localization and detection using convolutional networks‏‎ (09:46, 30 August 2017)
  86. goingDeeperWithConvolutions‏‎ (09:46, 30 August 2017)
  87. parsing natural scenes and natural language with recursive neural networks‏‎ (09:46, 30 August 2017)
  88. human-level control through deep reinforcement learning‏‎ (09:46, 30 August 2017)
  89. learning Hierarchical Features for Scene Labeling‏‎ (09:46, 30 August 2017)
  90. deep neural networks for acoustic modeling in speech recognition‏‎ (09:46, 30 August 2017)
  91. deep Sparse Rectifier Neural Networks‏‎ (09:46, 30 August 2017)
  92. stat946f15/Deep neural networks for acoustic modeling in speech recognition‏‎ (09:46, 30 August 2017)
  93. dropout‏‎ (09:46, 30 August 2017)
  94. deepGenerativeModels‏‎ (09:46, 30 August 2017)
  95. learning2reasoning‏‎ (09:46, 30 August 2017)
  96. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (09:46, 30 August 2017)
  97. show, Attend and Tell: Neural Image Caption Generation with Visual Attention‏‎ (09:46, 30 August 2017)
  98. neural Turing Machines‏‎ (09:46, 30 August 2017)
  99. imageNet Classification with Deep Convolutional Neural Networks‏‎ (09:46, 30 August 2017)
  100. natural language processing (almost) from scratch.‏‎ (09:46, 30 August 2017)

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