Label space | 标记空间 | [1] |
Lagrange duality | 拉格朗日对偶性 | [1] |
Lagrange multiplier | 拉格朗日乘子 | [1] |
Laplace smoothing | 拉普拉斯平滑 | [1] |
Laplacian correction | 拉普拉斯修正 | [1] |
Latent Dirichlet Allocation/LDA | 隐狄利克雷分布 | [1] |
Latent semantic analysis | 潜在语义分析 | [1] |
Latent variable | 隐变量 | [1] |
Law of large number | 大数定理 | [1] |
Layer-wise Adaptive Rate Scaling/LARS | 层级对应的适应率缩放 | [1] |
Lazy learning | 懒惰学习 | [1] |
Leaky ReLU | 渗漏整流线性单元 | [1] |
Learner | 学习器 | [1] |
Learning by analogy | 类比学习 | [1] |
Learning rate | 学习率 | [1] |
Learning Vector Quantization/LVQ | 学习向量量化 | [1] |
Least squares regression tree | 最小二乘回归树 | [1] |
Leave-One-Out/LOO | 留一法 | [1] |
Lebesgue-integrable | 勒贝格可积 | [1] |
Left eigenvector | 左特征向量 | [1] |
Leibniz’s rule | 莱布尼兹法则 | [1] |
Linear Discriminant Analysis/LDA | 线性判别 | [1] |
Linear model | 线性模型 | [1] |
Linear Regression | 线性回归 | [1] |
Linear threshold units | 线性阀值单元 | [1] |
Link function | 联系函数 | [1] |
Local conditionalprobability distribution | 局部条件概率分布 | [1] |
Local contrast normalization | 局部对比度归一化 | [1] |
Local curvature | 局部曲率 | [1] |
Local Markov property | 局部马尔可夫性 | [1] |
Local minimum | 局部最小 | [1] |
Log likelihood | 对数似然 | [1] |
Log odds/logit | 对数几率 | [1] |
Logistic Regression | Logistic 回归 | [1] |
Log-likelihood | 对数似然 | [1] |
Log-linear regression | 对数线性回归 | [1] |
Long-Short Term Memory/LSTM | 长短期记忆 | [1] |
Long-term dependency | 长期依赖 | [1] |
Loopy belief propagation | 环状信念传播 | [1] |
Loss function | 损失函数 | [1] |
Low rank matrix approximation | 低秩矩阵近似 | [1] |