Search Results for 'Enginius/Machine Learning'

141 POSTS

  1. 2014.06.17 Manifold가 무엇일까?
  2. 2014.05.09 PAC-Bayes bound for Gaussian process
  3. 2014.05.06 Machine Learning (Regularization) (2)
  4. 2014.05.05 Machine Learning (Linear Models, Logistic Regression, GD, SGD)
  5. 2014.05.03 Machine Learning (PLA, Feasibility of Learning, Generalization Theory) (2)
  6. 2014.04.25 Gaussian Process Latent Variable Model (GPLVM)
  7. 2014.04.20 Infinite Mixture of Gaussian process experts + Hybrid MCMC
  8. 2014.04.19 PAC-Bayes bound 발표자료
  9. 2014.04.16 Some properties in Regression using Conditional Independency
  10. 2014.04.11 PAC Bayes Analysis of Classification
  11. 2014.04.09 Sparse Distributed Memory Framework
  12. 2014.03.28 Generative vs. Discriminative model
  13. 2014.02.27 Gaussian process related papers (Songhwai Oh)
  14. 2014.02.26 Gaussian process survey
  15. 2014.02.17 Gaussian Process Bayes Filter
  16. 2014.02.07 Reinforcement Learning (5)
  17. 2014.01.23 Deep Learning Survey (2)
  18. 2014.01.13 Gaussian Process Mixture
  19. 2014.01.09 Computer science: The learning machines
  20. 2013.10.15 Gaussian Process Approximations (PITC, D2FAS)
  21. 2013.07.22 What is the future of Big data
  22. 2013.07.11 Principal component analysis (PCA) on data (1)
  23. 2013.07.05 Dirichlet Process (DP) (2)
  24. 2013.06.22 Latent Dirichlet Allocation
  25. 2013.05.31 Convex Optimization of Graph Laplacian
  26. 2013.05.31 Decentralized Orthogonal Iteration (DOI) + Spectral Clustering
  27. 2013.05.15 Particle Filter
  28. 2013.05.04 Probability mass functions and density functions
  29. 2013.04.26 Kernel Principal Component Analysis (KPCA)
  30. 2013.03.05 Softmax activation이란?
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