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Kernel method 核方法 

Kernel trick 核技巧 

Kernelized Linear Discriminant Analysis／KLDA 核線性判別分析 

K-fold cross validation k 折交叉驗證／k 倍交叉驗證 

K-Means Clustering K – 均值聚類 

K-Nearest Neighbours Algorithm/KNN K近鄰算法 

Knowledge base 知識庫 

Knowledge Representation 知識表征

Label space 標記空間 

Lagrange duality 拉格朗日對偶性 

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 潛在語義分析 

Latent variable 隱變量 

Lazy learning 懶惰學習 

Learner 學習器 

Learning by analogy 類比學習 

Learning rate 學習率 

Learning Vector Quantization/LVQ 學習向量量化 

Least squares regression tree 最小二乘回歸樹 

Leave-One-Out/LOO 留一法 

linear chain conditional random field 線性鏈條件隨機場 

Linear Discriminant Analysis／LDA 線性判別分析 

Linear model 線性模型 

Linear Regression 線性回歸 

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 對數(shù)似然 

Log odds／logit 對數(shù)幾率 

Logistic Regression Logistic 回歸 

Log-likelihood 對數(shù)似然 

Log-linear regression 對數(shù)線性回歸 

Long-Short Term Memory/LSTM 長短期記憶 

Loss function 損失函數(shù)

Machine translation/MT 機器翻譯 

Macron-P 宏查準率 

Macron-R 宏查全率 

Majority voting 絕對多數(shù)投票法 

Manifold assumption 流形假設(shè) 

Manifold learning 流形學習 

Margin theory 間隔理論 

Marginal distribution 邊際分布 

Marginal independence 邊際獨立性 

Marginalization 邊際化 

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

Markov Random Field 馬爾可夫隨機場 

Maximal clique 最大團