Short pages

Showing below up to 50 results in range #51 to #100.

51. (hist) ‎Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval ‎[2,068 bytes]
52. (hist) ‎importance Sampling June 2 2009 ‎[2,099 bytes]
53. (hist) ‎is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction ‎[2,146 bytes]
54. (hist) ‎proof of Lemma 1 ‎[2,150 bytes]
55. (hist) ‎proof ‎[3,086 bytes]
56. (hist) ‎f11Stat946presentation ‎[3,162 bytes]
57. (hist) ‎contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models ‎[3,211 bytes]
58. (hist) ‎a Dynamic Bayesian Network Click Model for web search ranking ‎[3,492 bytes]
59. (hist) ‎Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network ‎[3,643 bytes]
60. (hist) ‎measuring and testing dependence by correlation of distances ‎[3,675 bytes]
61. (hist) ‎Hash Embeddings for Efficient Word Representations ‎[3,841 bytes]
62. (hist) ‎sign up for your presentation ‎[4,160 bytes]
63. (hist) ‎Batch Normalization Summary ‎[4,283 bytes]
64. (hist) ‎markov Chain Definitions ‎[4,619 bytes]
65. (hist) ‎stat940F21 ‎[4,782 bytes]
66. (hist) ‎stat441w18/summary 1 ‎[4,834 bytes]
67. (hist) ‎binomial Probability Monte Carlo Sampling June 2 2009 ‎[4,964 bytes]
68. (hist) ‎main Page ‎[5,022 bytes]
69. (hist) ‎copyofstat341 ‎[5,050 bytes]
70. (hist) ‎Task Understanding from Confushing Multitask Data ‎[5,085 bytes]
71. (hist) ‎monte Carlo Integration ‎[5,183 bytes]
72. (hist) ‎stat441w18 ‎[5,299 bytes]
73. (hist) ‎acceptance-Rejection Sampling ‎[5,779 bytes]
74. (hist) ‎bayesian and Frequentist Schools of Thought ‎[5,797 bytes]
75. (hist) ‎stat441F18 ‎[6,075 bytes]
76. (hist) ‎Batch Normalization ‎[6,084 bytes]
77. (hist) ‎a Deeper Look into Importance Sampling ‎[6,315 bytes]
78. (hist) ‎s13Stat946proposal ‎[6,364 bytes]
79. (hist) ‎the Indian Buffet Process: An Introduction and Review ‎[6,413 bytes]
80. (hist) ‎importance Sampling and Markov Chain Monte Carlo (MCMC) ‎[6,450 bytes]
81. (hist) ‎genetics ‎[6,457 bytes]
82. (hist) ‎Deep Learning for Extreme Multi-label Text Classification ‎[6,578 bytes]
83. (hist) ‎metric and Kernel Learning Using a Linear Transformation ‎[6,583 bytes]
84. (hist) ‎Deep Residual Learning for Image Recognition Summary ‎[6,589 bytes]
85. (hist) ‎kernel Dimension Reduction in Regression ‎[6,640 bytes]
86. (hist) ‎nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization ‎[6,730 bytes]
87. (hist) ‎again on Markov Chain ‎[6,938 bytes]
88. (hist) ‎Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases ‎[6,985 bytes]
89. (hist) ‎Convolutional Neural Networks for Sentence Classification ‎[7,012 bytes]
90. (hist) ‎techniques for Normal and Gamma Sampling ‎[7,262 bytes]
91. (hist) ‎large-Scale Supervised Sparse Principal Component Analysis ‎[7,419 bytes]
92. (hist) ‎importance Sampling and Monte Carlo Simulation ‎[7,462 bytes]
93. (hist) ‎proposal for STAT946 (Deep Learning) final projects Fall 2015 ‎[7,533 bytes]
94. (hist) ‎Wide and Deep Learning for Recommender Systems ‎[7,762 bytes]
95. (hist) ‎measuring statistical dependence with Hilbert-Schmidt norms ‎[7,804 bytes]
96. (hist) ‎U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary ‎[8,051 bytes]
97. (hist) ‎contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis ‎[8,071 bytes]
98. (hist) ‎Bayesian Network as a Decision Tool for Predicting ALS Disease ‎[8,088 bytes]
99. (hist) ‎hierarchical Dirichlet Processes ‎[8,178 bytes]
100. (hist) ‎on the Number of Linear Regions of Deep Neural Networks ‎[8,398 bytes]