Kernel method 核方法 

Kernel trick 核技巧 

Kernelized Linear Discriminant Analysis／KLDA 核線(xiàn)性判別分析 

K-fold cross validation k 折交叉驗(yàn)證／k 倍交叉驗(yàn)證 

K-Means Clustering K – 均值聚類(lèi) 

K-Nearest Neighbours Algorithm/KNN K近鄰算法 

Knowledge base 知識(shí)庫(kù) 

Knowledge Representation 知識(shí)表征

Label space 標(biāo)記空間 

Lagrange duality 拉格朗日對(duì)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 隱狄利克雷分布 

Latent semantic analysis 潛在語(yǔ)義分析 

Latent variable 隱變量 

Lazy learning 懶惰學(xué)習(xí) 

Learner 學(xué)習(xí)器 

Learning by analogy 類(lèi)比學(xué)習(xí) 

Learning rate 學(xué)習(xí)率 

Learning Vector Quantization/LVQ 學(xué)習(xí)向量量化 

Least squares regression tree 最小二乘回歸樹(shù) 

Leave-One-Out/LOO 留一法 

linear chain conditional random field 線(xiàn)性鏈條件隨機(jī)場(chǎng) 

Linear Discriminant Analysis／LDA 線(xiàn)性判別分析 

Linear model 線(xiàn)性模型 

Linear Regression 線(xiàn)性回歸 

Link function 聯(lián)系函數(shù) 

Local Markov property 局部馬爾可夫性 

Local minimum 局部最小 

Log likelihood 對(duì)數(shù)似然 

Log odds／logit 對(duì)數(shù)幾率 

Logistic Regression Logistic 回歸 

Log-likelihood 對(duì)數(shù)似然 

Log-linear regression 對(duì)數(shù)線(xiàn)性回歸 

Long-Short Term Memory/LSTM 長(zhǎng)短期記憶 

Loss function 損失函數(shù)

Machine translation/MT 機(jī)器翻譯 

Macron-P 宏查準(zhǔn)率 

Macron-R 宏查全率 

Majority voting 絕對(duì)多數(shù)投票法 

Manifold assumption 流形假設(shè) 

Manifold learning 流形學(xué)習(xí) 

Margin theory 間隔理論 

Marginal distribution 邊際分布 

Marginal independence 邊際獨(dú)立性 

Marginalization 邊際化 

Markov Chain Monte Carlo/MCMC 馬爾可夫鏈蒙特卡羅方法 

Markov Random Field 馬爾可夫隨機(jī)場(chǎng) 

Maximal clique 最大團(tuán)