Kernel method 核方法 

Kernel trick 核技巧 

Kernelized Linear Discriminant Analysis／KLDA 核线性判别分析 

K-fold cross validation k 折交叉验证／k 倍交叉验证 

K-Means Clustering K – 均值聚类 

K-Nearest Neighbours Algorithm/KNN K近邻算法 

Knowledge base 知识库 

Knowledge Representation 知识表征

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 隐狄利克雷分布 

Latent semantic analysis 潜在语义分析 

Latent variable 隐变量 

Lazy learning 懒惰学习 

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 

linear chain conditional random field 线性链条件随机场 

Linear Discriminant Analysis／LDA 线性判别分析 

Linear model 线性模型 

Linear Regression 线性回归 

Link function 联系函数 

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 

Loss function 损失函数

Machine translation/MT 机器翻译 

Macron-P 宏查准率 

Macron-R 宏查全率 

Majority voting 绝对多数投票法 

Manifold assumption 流形假设 

Manifold learning 流形学习 

Margin theory 间隔理论 

Marginal distribution 边际分布 

Marginal independence 边际独立性 

Marginalization 边际化 

Markov Chain Monte Carlo/MCMC 马尔可夫链蒙特卡罗方法 

Markov Random Field 马尔可夫随机场 

Maximal clique 最大团