| 缩写 | 原文 | 含义 |
|---|---|---|
| cdf | Cumulative distribution function | 累积分布函数 |
| CPD | Conditional probability distribution | 条件概率分布 |
| CPT | Conditional probability table | 条件概率表 |
| CRF | Conditional random field | 条件随机域 |
| DAG | Directed acyclic graphic | 定向无环图 |
| DGM | Directed graphical model | 定向图模型 |
| EB | Empirical Bayes | 经验贝叶斯 |
| EM | Expectation maximization algorithm | 期望最大化算法 |
| EP | Expectation propagation | 期望传播 |
| GLM | Generalized linear model | 广义线性模型 |
| GMM | Gaussian mixture model | 高斯混合模型 |
| HMM | Hidden Markov model | 隐性马尔科夫模型 |
| iid | Independent and identically distributed | 独立同分布 |
| iff | If and only if | 当且仅当 |
| KL | Kullback Leibler divergence | KL散度 |
| LDS | Linear dynamical system | 线性动力系统 |
| LHS | Left hand side (of an equation) | 等式左边 |
| MAP | Maximum A Posterior estimate | 最大后验估计 |
| MCMC | Markov chain Monte Carlo | 马尔科夫链蒙特卡罗方法 |
| MH | Metropolis Hastings | MH算法 |
| MLE | Maximum likelihood estimate | 最大似然估计 |
| MPM | Maximum of Posterior Marginals | 最大后验边缘 |
| MRF | Markov random field | 马尔科夫随机域 |
| MSE | Mean squared error | 均方误差 |
| NLL | Negative log likelihood | 负对数似然率 |
| OLS | Ordinary least squares | 普通最小二乘法 |
| pd | Positive definite (matrix) | 正定(矩阵) |
| Probability density function | 概率密度函数 | |
| pmf | Probability mass function | 概率质量函数 |
| RBPF | Rao-Blackwellised particle filter | Rao-Blackwell化粒子滤波算法 |
| RHS | Right hand side (of an equation | 等式右边 |
| RJMCMC | Reversible jump MCMC | 可逆跳变马尔科夫链蒙特卡罗方法 |
| RSS | Residual sum of squares | 残差平方和 |
| SLDS | Switching linear dynamical system | 可切换线性动力系统 |
| SSE | Sum of squared errors | 误差平方和 |
| UGM | Undirected graphical model | 无向图模型 |
| VB | Variational Bayes | 变分贝叶斯 |
| wrt | With respect to | 关于 |
This repository has been archived by the owner on May 28, 2023. It is now read-only.