| Label space |
标记空间 |
| Lagrange duality |
拉格朗日对偶性 |
| Lagrange multiplier |
拉格朗日乘子 |
| Laplace smoothing |
拉普拉斯平滑 |
| Laplacian correction |
拉普拉斯修正 |
| Latent Dirichlet Allocation/LDA |
隐狄利克雷分布 |
| Latent semantic analysis |
潜在语义分析 |
| Latent variable |
隐变量 |
| Law of large number |
大数定理 |
| Layer-wise Adaptive Rate Scaling/LARS |
层级对应的适应率缩放 |
| Lazy learning |
懒惰学习 |
| Leaky ReLU |
渗漏整流线性单元 |
| Learner |
学习器 |
| Learning by analogy |
类比学习 |
| Learning rate |
学习率 |
| Learning Vector Quantization/LVQ |
学习向量量化 |
| Least squares regression tree |
最小二乘回归树 |
| Leave-One-Out/LOO |
留一法 |
| Lebesgue-integrable |
勒贝格可积 |
| Left eigenvector |
左特征向量 |
| Leibniz’s rule |
莱布尼兹法则 |
| Linear Discriminant Analysis/LDA |
线性判别 |
| Linear model |
线性模型 |
| Linear Regression |
线性回归 |
| Linear threshold units |
线性阀值单元 |
| Link function |
联系函数 |
| Local conditionalprobability distribution |
局部条件概率分布 |
| Local contrast normalization |
局部对比度归一化 |
| Local curvature |
局部曲率 |
| Local Markov property |
局部马尔可夫性 |
| Local minimum |
局部最小 |
| Log likelihood |
对数似然 |
| Log odds/logit |
对数几率 |
| Logistic Regression |
Logistic 回归 |
| Log-likelihood |
对数似然 |
| Log-linear regression |
对数线性回归 |
| Long-Short Term Memory/LSTM |
长短期记忆 |
| Long-term dependency |
长期依赖 |
| Loopy belief propagation |
环状信念传播 |
| Loss function |
损失函数 |
| Low rank matrix approximation |
低秩矩阵近似 |