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Maximum Likelihood Estimation(MLE) 极大似然估计。Conditional Probability Table(CPT)条件概率表。semi-naive Bayes classifiers 半朴素贝叶斯分类器。One-Dependent Estimator (ODE) 独依赖估计。Directed Acyclic Graph(DAG) 有向无环图。native Bayes classifier 朴素贝叶斯分类器。discriminative models 判别式模型。

Kernelized Linear Discriminant Analysis(KLDA)核线性判别分析。Reproducing Kernel Hilbert Space (RKHS) 再生核希尔伯特空间。Support Vector Regression (SVR） 支持向量回归。Support Vector Machine(SVM) 支持向量机。multiple kernel learning 多核学习。c-insensitive loss c-不敏感损失。structural risk 结构风险。

multi-layer feedforward neural networks 多层前馈神经网络。accumulated error backpropagation 积累误差逆传播。stability-plasticity dilemma 可塑性-稳定性窘境。self-organizing featuremap 自组织特征映射。error backpropagatiom(BP）误逆差传播算法。representation learning 表示学习。self-organizing map 自组织映射。

Classification and Regression Tree(CART）——一种著名的决策树学习算法，分类和回归任务都可以用。multivariate decision tree 多变量决策树。univariate decision tree 单变量决策树。oblique decision tree 斜决策树。divide-and-conquer 分而治之。information gain 信息增益。intrinsic value 固有值。decision tree 决策树。pruning 剪枝。

logistic regression/logit regression 对数几率回归。multivariate linear regression 多元线性回归。within-class scatter matrix 类内散度矩阵。between-class scatter matrx 类间散度矩阵。maximum likelihood method 极大似然法。cost-sensitive learning 代价敏感学习。log-inear regression 对数线性回归。