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Showing below up to 50 results in range #121 to #170.

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  1. stat946f11pool‏‎ (4 revisions)
  2. wikicoursenote:Manual of Style‏‎ (4 revisions)
  3. learning2reasoning‏‎ (4 revisions)
  4. stat946-Fall 2010‏‎ (5 revisions)
  5. singular Value Decomposition(SVD)‏‎ (5 revisions)
  6. proof of Theorem 1‏‎ (5 revisions)
  7. again on Markov Chain‏‎ (5 revisions)
  8. Hash Embeddings for Efficient Word Representations‏‎ (5 revisions)
  9. tRIAL for that odd behaviour‏‎ (5 revisions)
  10. the Manifold Tangent Classifier‏‎ (6 revisions)
  11. Batch Normalization Summary‏‎ (6 revisions)
  12. stat946f15‏‎ (7 revisions)
  13. on the Number of Linear Regions of Deep Neural Networks‏‎ (7 revisions)
  14. bayesian and Frequentist Schools of Thought‏‎ (7 revisions)
  15. importance Sampling and Markov Chain Monte Carlo (MCMC)‏‎ (7 revisions)
  16. Batch Normalization‏‎ (7 revisions)
  17. importance Sampling and Monte Carlo Simulation‏‎ (7 revisions)
  18. measuring and testing dependence by correlation of distances‏‎ (8 revisions)
  19. quantifying cancer progression with conjunctive Bayesian networks.‏‎ (8 revisions)
  20. markov Chain Definitions‏‎ (9 revisions)
  21. monte Carlo Integration‏‎ (10 revisions)
  22. Deep Residual Learning for Image Recognition Summary‏‎ (11 revisions)
  23. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (12 revisions)
  24. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (12 revisions)
  25. on using very large target vocabulary for neural machine translation‏‎ (13 revisions)
  26. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (13 revisions)
  27. Convolutional Neural Networks for Sentence Classification‏‎ (14 revisions)
  28. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION‏‎ (15 revisions)
  29. stat441F18/YOLO‏‎ (16 revisions)
  30. Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network‏‎ (17 revisions)
  31. A Game Theoretic Approach to Class-wise Selective Rationalization‏‎ (17 revisions)
  32. f11Stat946papers‏‎ (18 revisions)
  33. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (18 revisions)
  34. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (20 revisions)
  35. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (20 revisions)
  36. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (21 revisions)
  37. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases‏‎ (21 revisions)
  38. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (21 revisions)
  39. generating text with recurrent neural networks‏‎ (21 revisions)
  40. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (21 revisions)
  41. Summary of A Probabilistic Approach to Neural Network Pruning‏‎ (21 revisions)
  42. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
  43. s13Stat946proposal‏‎ (22 revisions)
  44. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
  45. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
  46. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
  47. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
  48. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (23 revisions)
  49. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (23 revisions)
  50. Wide and Deep Learning for Recommender Systems‏‎ (23 revisions)

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