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Showing below up to 20 results in range #71 to #90.

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  1. (hist) ‎monte Carlo Integration ‎[5,183 bytes]
  2. (hist) ‎stat441w18 ‎[5,299 bytes]
  3. (hist) ‎acceptance-Rejection Sampling ‎[5,779 bytes]
  4. (hist) ‎bayesian and Frequentist Schools of Thought ‎[5,797 bytes]
  5. (hist) ‎stat441F18 ‎[6,075 bytes]
  6. (hist) ‎Batch Normalization ‎[6,084 bytes]
  7. (hist) ‎a Deeper Look into Importance Sampling ‎[6,315 bytes]
  8. (hist) ‎s13Stat946proposal ‎[6,364 bytes]
  9. (hist) ‎the Indian Buffet Process: An Introduction and Review ‎[6,413 bytes]
  10. (hist) ‎importance Sampling and Markov Chain Monte Carlo (MCMC) ‎[6,450 bytes]
  11. (hist) ‎genetics ‎[6,457 bytes]
  12. (hist) ‎Deep Learning for Extreme Multi-label Text Classification ‎[6,578 bytes]
  13. (hist) ‎metric and Kernel Learning Using a Linear Transformation ‎[6,583 bytes]
  14. (hist) ‎Deep Residual Learning for Image Recognition Summary ‎[6,589 bytes]
  15. (hist) ‎kernel Dimension Reduction in Regression ‎[6,640 bytes]
  16. (hist) ‎nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization ‎[6,730 bytes]
  17. (hist) ‎again on Markov Chain ‎[6,938 bytes]
  18. (hist) ‎Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases ‎[6,985 bytes]
  19. (hist) ‎Convolutional Neural Networks for Sentence Classification ‎[7,012 bytes]
  20. (hist) ‎techniques for Normal and Gamma Sampling ‎[7,262 bytes]

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