Search Results for 'Enginius/Machine Learning'

135 POSTS

  1. 2015.04.02 Model Selection in Gaussian process regression
  2. 2014.12.30 Spline Curve Fitting
  3. 2014.12.11 [Compressive Sensing] Armijo's rule, trust region method, proof of Taylor theorem, Schur's lemma (4)
  4. 2014.11.30 Gaussian process realization + measurements using interp2
  5. 2014.11.27 Soft Thresholding
  6. 2014.11.27 Hierarchical Dirichlet Process 구현 (3)
  7. 2014.11.25 Finding CONTOUR from 2D points
  8. 2014.11.21 Topologoical Data Analysis
  9. 2014.11.12 Latent Dirichlet Allocation (LDA) with Matlab Code
  10. 2014.11.04 Important properties regarding matrix inversions
  11. 2014.10.29 Bayesian과 MCMC 알고리즘 (Gibbs and Metropolis-Hastings Algorithm) (1)
  12. 2014.10.28 Dirichlet Processes and Hierarchical Dirichlet Processes
  13. 2014.10.21 Scaling Up Deep Learning - Yoshua Bengio
  14. 2014.10.21 Dirichlet Mixture Model
  15. 2014.09.11 About Deep Learning by Michael Jordan
  16. 2014.09.03 Fundamental Group
  17. 2014.08.22 [NGP] Leveraged Kernel
  18. 2014.08.02 Deep Learning이란 무엇일까? (4)
  19. 2014.07.31 Sparse Kernel Methods
  20. 2014.07.28 Determinantal Point Process (DPP)
  21. 2014.07.25 Non-stationary Gaussian process regression
  22. 2014.07.23 ICML에 나온 Gaussian process
  23. 2014.07.16 Stochastic process and Gaussian process (2)
  24. 2014.06.19 공간 속에 있는 점들 사이이 거리에 대한 성질
  25. 2014.06.17 Manifold가 무엇일까?
  26. 2014.05.09 PAC-Bayes bound for Gaussian process
  27. 2014.05.06 Machine Learning (Regularization) (2)
  28. 2014.05.05 Machine Learning (Linear Models, Logistic Regression, GD, SGD)
  29. 2014.05.03 Machine Learning (PLA, Feasibility of Learning, Generalization Theory) (2)
  30. 2014.04.25 Gaussian Process Latent Variable Model (GPLVM)
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