CS/Fundamentals
- Mathematical Statistics 2013.09.30
- Exponential family 2013.07.16
- Gibbs sampling 2013.07.02
- Probability and Distribution 2013.07.01
- Bayesian Statistics; 베이지안 통계학 2013.06.28
- Importance sampling 2013.06.21
- Metropolis-Hastings algorithm 2013.06.20
- Rejection sampling 2013.06.19
- Inverse transform sampling 2013.06.19
- Detailed Balance 2013.06.19
- 통계학의 오늘 2013.05.25
- Kullback–Leibler divergence and Cross entropy 2013.05.20
- Probabilty and Bottleneck 2013.05.16
- Convex hull, Convex set, Convex combination, and Simplex 2013.05.15
- Helmholtz free energy 2013.05.11
- Boltzmann Machine 2013.05.11
- Simulated Annealing, 담금질 기법 2013.05.11
- Definition, Axiom, Theorem, Corollary, and Lemma 2013.04.28
- Tensor 2013.04.18
- Gram–Schmidt process 2013.04.11
- Eigendecomposition (Spectral Decomposition) 2013.04.10
- Linear Map (Linear Transformation) 2013.04.07
- Matrix Decomposition (Matrix Factorization) 2013.03.29
- Singular Value Decomposition, SVD 2013.03.28
- Entropy 2013.03.09
- Probability Density Function (PDF) and Probability Mass Function (PMF) 2013.03.08
- Lagrange Multipliers 2013.03.06
- Markov Chain Monte Carlo, MCMC 2013.02.27
- Normal distribution (Gaussian distribution) 2013.02.23
- Perron–Frobenius theorem 2013.02.08