人工智能词汇12.17文件【新版】

1、精常用英语词汇-andrew Ng 课程training set 训练集合inten sity 强度Regressi on回归Loss fun ction损失函数non-convex 勻非凸函数neural network神经网络supervised lear ning监督学习regressi on problem回归问题处理的是连续的问题classificati on problem分类问题discreet value 离散值support vector mach ines 支持向量机 learning theory 学习理论learning algorithms学习算法un supervi

2、sed lear ning无监督学习gradie nt desce nt梯度下降lin ear regressi on线性回归Neural Network神经网络gradie nt desce nt梯度下降no rmal equatio nslin ear algebra线性代数superscript 上标exp onen tiati on扌旨数trai ning example训练样本hypothesis 假设，用来表示学习算法的输出LMS algorithmleast mean squares 最小二乘法算法batch gradie nt desce nt批量梯度下降con sta ntl

3、y gradie nt desce nt随机梯度下降iterative algorithm 迭代算法partial derivative 偏导数con tour等高线quadratic fun cti on二元函数locally weighted regressi on局部加权回归un derfitt ing欠拟合overfitt ing过拟合non-parametriclear ningalgorithms无参数学习算法parametric lear ning algorithm参数学习算法activatio n 激活值activati on fun cti on激活函数additive n

4、oise加性噪声autoe ncoder自编码器Autoe ncoders自编码算法average firing rate平均激活率精精average sum-of-squares error均方差diago nal对角线backpropagati on后向传播basis 基basis feature vectors特征基向量batch gradie nt asce nt批量梯度上升法Bayesia nregularizati onmethod贝叶斯规则化方法Berno ulli ran dom variable伯努利随机变量bias term 偏置项binary classficati on

5、二元分类class labels类型标记con cate nati on级联diffusion of gradie nts梯度的弥散eige nvalue 特征值eige nvector特征向量error term 残差feature matrix特征矩阵feature sta ndardizatio n特征标准化feedforward architectures前馈结构算法feedforward n eural n etwork前馈神经网络feedforward pass前馈传导fin e-tu ned 微调first-order feature一阶特征精conjugate gradie n

6、t共轭梯度con tiguous groups联通区域convex optimizati on software凸优化软件con voluti on卷积cost function代价函数covaria nee matrix协方差矩阵DC comp on e nt直流分量decorrelati on 去相关dege neracy退化deme nsion ality reductio n降维forward pass 前向传导forward propagati on前向传播Gaussia n prior咼斯先验概率gen erative model生成模型gradie nt desce nt梯度下降

7、Greedy layer-wise trai ning逐层贪婪训练方法group ing matrix分组矩阵Hadamard product阿达马乘积Hessia n matrix Hessia n 矩阵hidden layer 隐含层derivative 导函数精hidden units隐藏神经元lin ear superpositi on线性叠力口Hierarchical group ing层次型分组higher-order features更高阶特征highly non-convex optimizati on problem高度非凸的优化问题histogram 直方图hyperbol

8、ic tan ge nt双曲正切函数hypothesis 估值，假设ide ntity activation fun ctio n恒等激励函数IID独立同分布illu min ati on照明in active 抑制in depe ndent comp onent an alysis独立成份分析in put doma ins输入域input layer 输入层in te nsity亮度/灰度in tercept term截距KL diverge nee相对熵KL diverge nee KL 分散度k-Mea ns K-均值learning rate学习速率least squares 最小二乘

9、法lin e-search algorithm线搜索算法local mean subtract ion局部均值消减local optima 局部最优解logistic regressi on逻辑回归loss fun ctio n损失函数low-pass filteri ng低通滤波magn itude 幅值MAP极大后验估计maximum likelihood estimati on极大似然估计mea n 平均值MFCC Mel倒频系数multi-class classificati on多元分类neural networks神经网络neuron 神经元Newton s method 牛顿法n

10、on-con vex fun ctio n耳非凸函数non-I in ear feature 非线性特征n orm 范式norm boun ded有界范数norm constrained范数约束no rmalizati on 归一化精lin ear corresp ondence线性响应精nu merical roun doff errorsrecon struct ion cost重建代价output layer 输出层overall cost fun ctio n总体代价函数over-complete basis超完备基over-fitt ing过拟合parts of objects目标的

11、部件part-whole decomposti on部分-整体分解PCA主元分析pen alty term惩罚因子per-example mean subtracti on逐样本均值消减pooli ng 池化pretrain 预训练prin cipal comp onents an alysis主成份分析quadratic con stra ints二次约束RBMs 受限 Boltzman 机recon struct ion based models基于重构的模型recon struct ion term重构项redundant 冗余reflection matrix反射矩阵regulariz

12、ati on 正则化regularizati on term正则化项rescali ng 缩放robust 鲁棒性run 行程sec on d-order feature二阶特征sigmoid activation fun ctio n S型激励函数sig ni fica nt digits有效数字sin gular value 奇异值sin gular vector奇异向量smoothed L1 penalty平滑的L1范数惩罚Smoothed topographic L1 sparsity pen alty平滑地形L1稀疏惩罚函数smooth ing平滑Softmax Regress on

13、 Softmax 回归sorted in decreas ing order降序排歹 Unu merically check ing数值检验nu merically reliable数值计算上稳定object detect ion物体检测objective function目标函数off-by-one error缺位错误orthogo nalizati on正交化数值舍入误差精source features 源特征sparse autoe ncoder消减归一化精Sparsity 稀疏性tran sformati on变换sparsity parameter稀疏性参数sparsity pen

14、alty稀疏惩罚square function平方函数squared-error 方差statio nary平稳性（不变性）stati onary stochastic process平稳随机过程step-size 步长值supervised lear ning监督学习symmetric positive semi-defi nite matrix对称半正定矩阵symmetry break ing对称失效tanh fun ction双曲正切函数the average activati on平均活跃度the derivative check ing method梯度验证方法the empiric

15、al distributio n经验分布函数the en ergy function能量函数the Lagra nge dual拉格朗日对偶函数the log likelihood对数似然函数the pixel inten sity value像素灰度值the rate of con verge nee收敛速度topographic cost term拓扑代价项topographic ordered拓扑秩序tran slati on in varia nt平移不变性trivial an swer 平凡解un der-complete basisun rolli ng 组合扩展un superv

16、ised lear ningvaria nee 方差vecotrized impleme ntati onvectorizati on矢量化visual cortex视觉皮层weight decay权重衰减weighted average力口权平均值white ning白化zero-mea n均值为零Accumulated error backpropagati on累积误差逆传播Activatio n Fun ction激活函数Adaptive Reso nance Theory/ART自适应谐振理论Addictive model 加性学习Adversarial Networks对抗网络Af

17、fine Layer 仿射层Affinity matrix 亲和矩阵Age nt代理/智能体不完备基无监督学习向量化实现精精Class-c on diti onal probability类条件概率Alpha-beta pruning a- B剪枝Ano maly detecti on异常检测Approximati on 近似Area Under ROC Curve / AUC Roc 曲线下面积Artificial Ge neral In tellige nce/AGI通用人工智能Artificial In tellige nce/AI 人工智能Associati on an alysis关

18、联分析Atte ntio n mecha nism注意力机制Attribute con diti onal in depe ndence assumptio n属性条件独立性假设Attribute space属性空间Attribute value属性值Autoe ncoder自编码器Automatic speech recog niti on自动语音识别Automatic summarizati on自动摘要Average gradie nt平均梯度Average-Pooli ng平均池化Backpropagati onThroughTime通过时间的反向传播Backpropagatio n/

19、BP反向传播Base lear ner基学习器Base lear ning algorithm 基学习算法Bayes decisi on rule贝叶斯判定准贝UBayes Model Averaging/ BMA 贝叶斯模型平均Bayes optimal classifier贝叶斯最优分类器Bayesia n decisi on theory贝叶斯决策论Bayesian network贝叶斯网络Betwee n-class scatter matrix类间散度矩阵Bias偏置/偏差Bias-varia nee decompositi on偏差-方差分解Bias-Varianee Dilemm

20、a 偏差 -方差困境Bi-directio nal Lon g-Short Term Memory/Bi-LSTM双向长短期记忆Binary classificatio n二分类Bi no mial test二项检验Bi-partitio n二分法Boltzma nn mach ine玻尔兹曼机Bootstrap sampli ng自助采样法/可重复采样Bootstrapp ing 自助法Break-Eve nt Poi nt / BEP 平衡点Calibratio n校准Cascade-Correlation级联相关Algorithm 算法Batch Normalizatio n/BN批量归

21、一化精Categorical attribute离散属性精Classificati on and regressi on tree/CART分类与回Con ditio nal Probability Table/CPT条件概率表归树Classifier 分类器Class-imbala nee类别不平衡Closed -form 闭式Cluster簇/类/集群Cluster an alysis聚类分析Clusteri ng聚类Clusteri ng en semble聚类集成Co-adapti ng 共适应Codi ng matrix编码矩阵COLT国际学习理论会议Committee-based

22、lear ning基于委员会的学习Competitive lear ning竞争型学习Comp onent lear ner组件学习器Comprehe nsibility可解释性Computati on Cost计算成本Computati onal Lin guistics计算语言学Computer visio n计算机视觉Con cept drift概念漂移Con cept Learni ng System /CLS 概念学习系统Con ditio nal en tropy条件熵Con ditio nal ran dom field/CRF条件随机场Con ditio nal risk条件风

23、险Con fide nee 置信度Con fusi on matrix混淆矩阵Connection weight 连接权Connectionism 连结主义Con siste ncy 致性/相合性Contingency table 歹 U联表Contin uous attribute连续属性Con verge nee收敛Con versati onal age nt会话智能体Convex quadratic program ming凸二次规戈 UCon vexity 凸性Con volutio nal neural network/CNN卷积神经网络Co-occurre nee同现Correl

24、atio n coefficie nt相关系数Cosi ne similarity余弦相似度Cost curve成本曲线Cost Fun ction成本函数Cost matrix 成本矩阵精Con diti onal mutual in formati on条件互信息Cost-se nsitive成本敏感Cross en tropy交叉熵Cross validati on交叉验证Crowdsourc ing 众包Curse of dime nsi on ality维数灾难Cut poi nt截断点Cutti ng pla ne algorithm割平面法Data mi ning数据挖掘Data

25、 set 数据集Decisi on Boundary 决策边界Decisi on stump 决策树桩Decisi on tree 决策树/判定树Deduction 演绎Deep Belief Network深度信念网络Deep Con voluti onalGen erativeAdversarialNetworkDCGAN深度卷积生成对抗网络Deep lear ning深度学习Deep neural network/DNN深度神经网络Deep Q-Learning深度 Q 学习Deep Q-Network深度 Q 网络Den sity estimati on密度估计Den sity-bas

26、ed clusteri ng密度聚类Differe ntiable neural computer可微分神经计算机Dime nsi on ality reduction algorithm降维算法Directed edge 有向边Disagreeme nt measure不合度量Discrim in ative model判另 U模型Discrim in ator判另 U器Dista nee measure距离度量Dista nee metric lear ning距离度量学习Distributio n分布Diverge nee散度Diversity measure多样性度量/差异性度量Dom

27、a in adapti on领域自适应Down sampli ng下采样D-separati on(Directed separatio n) 有向分离Dual problem对偶问题Dummy node哑结点Dyn amic Fusi on动态融合Dyn amic program ming动态规戈 UEige nvalue decompositi on特征值分解精Embeddi ng嵌入Emoti onal an alysis情绪分析Empirical con diti onal en tropy经验条件熵精Empirical en tropy经验熵Feature select ion特征选

28、择Empirical error 经验误差Empirical risk 经验风险En d-to-E nd端至 U端En ergy-based model基于能量的模型En semble lear ning集成学习En semble pruning集成修剪Error CorrectingOutput Codes / ECOC 纠错输出码Error rate 错误率Error-ambiguity decomposition误差-分歧分解Euclidea n dista nee欧氏距离Evoluti onary computatio n演化计算Expectati on-Maximizati on期望

29、最大化Expected loss期望损失Explod ing Gradie nt Problem梯度爆炸问题Exponen tial loss function指数损失函数Extreme Learni ng Machi ne/ELM超限学习机Factorizati on因子分解False n egative 假负类False positive 假正类False Positive Rate/FPR假正例率Feature vector特征向量Featured Lear ning特征学习Feedforward Neural Networks/FNN前馈神经网络Fin e-t uning 微调Flip

30、p ing output 翻转法Fluctuati on震荡Forward stagewise algorithm前向分步算法Freque ntist 频率主义学派Full-ra nk matrix满秩矩阵Functional neuron 功能神经元Gain ratio 增益率Game theory 博弈论Gaussia n kernel fun cti on高斯核函数Gaussian Mixture Model高斯混合模型Gen eral Problem So Iving通用问题求解Gen eralizati on 泛化Gen eralizati on error泛化误差Gen erali

31、zati on error bound泛化误差上界Gen eralized Lagra nge function广义拉格朗日函数Gen eralized linear model 广义线性模型Gen eralized Rayleigh quotie nt广义瑞禾 U商精Feature engin eeri ng特征工程精Gen erativeAdversarial Networks/GAN生成对抗Hold-out 留出法网络Gen erative Model生成模型Gen erator生成器Gen etic Algorithm/GA遗传算法Gibbs sampl ing吉布斯采样Gini in

32、 dex基尼指数Global mi nimum全局最小Global Optimizati on全局优化Gradie nt boost ing梯度提升Gradie nt Desce nt梯度下降Graph theory图论Grou nd-truth真相/真实Hard margin 硬间隔Hard voti ng 硬投票Harmo nic mea n调和平均Hesse matrix海塞矩阵Hidde n dyn amic model隐动态模型Hidden layer 隐藏层Hidden Markov Model/HMM隐马尔可夫模型Hierarchical clusteri ng层次聚类Hilbe

33、rt space 希尔伯特空间Homoge neous同质Hybrid comput ing混合计算Hyperparameter 超参数Hypothesis 假设Hypothesis test假设验证ICML国际机器学习会议Improved iterative scali ng/IIS改进的迭代尺度法In creme ntal lear ning增量学习In depe ndent and ide ntically distributed/i.i.d.独立同分布In depe nde ntCompo nentAn alysis/ICA独立成分分析In dicator fun cti on指示函数

34、In dividual learner个体学习器In duction归纳In ductive bias归纳偏好In ductive lear ning归纳学习InductiveLogic Programming / ILP 归纳逻辑程序设计In formati on en tropy信息熵In formatio n gain信息增益Input layer 输入层Hi nge loss fun ction合页损失函数Insen sitive loss不敏感损失精精Intern ati onalConferencefor Mach ine拉格朗日乘子拉普拉斯平滑拉普拉斯修正Log-li near

35、regressi on对数线性回归In ter-cluster similarity簇间相似度Learni ng/ICML国际机器学习大会In tra-cluster similarity簇内相似度Intrin sic value固有值Isometric Mapp in g/Isomap等度量映射Isot onic regressi on等分回归Iterative Dichotomiser 迭代二分器Kernel method 核方法Kernel trick 核技巧Kern elized Lin ear Discrim inant An alysis/ KLDA核线性判别分析K-fold cr

36、oss 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Kno wledge base知识库Kno wledge Represe ntati on知识表征Label space标记空间Lagrange duality拉格朗日对偶性Lagra nge multiplierLaplace smoothi ngLaplacia n correct ionLate nt Dirichlet Allocatio n隐狄利克雷分布Late nt sema ntic an a

37、lysis潜在语义分析Late nt variable隐变量Lazy learni ng懒惰学习Lear ner 学习器Lear ning by an alogy类比学习Lear ning rate学习率Learni ng Vector Qua ntizati on/LVQ学习向量量化Least squares regressi on tree最小二乘回归树Leave-O ne-Out/LOO 留一法lin ear cha in con diti onal ran dom field线性链条件随机场Linear Discriminant Analysis/ LDA 线性判别分析Linear m

38、odel 线性模型Lin ear Regressi on线性回归Link fun ction联系函数Local Markov property局部马尔可夫性Local mi nimum局部最小Log likelihood对数似然Log odds / logit 对数几率精Logistic Regressi on Logistic回归Log-likelihood对数似然精Lon g-Short Term Memory/LSTM长短期记忆Metric lear ning度量学习Loss fun ctio n损失函数Machi ne tran slatio n/MT机器翻译Macro n-P 宏查准

39、率Macro n-R 宏查全率Majority voting 绝对多数投票法Manifold assumpti on流形假设Man ifold learni ng 流形学习Margin theory 间隔理论Margi nal distributio n边际分布Marginal in depe ndence边际独立性Margin alizati on边际化Markov Cha in Monte Carlo/MCMC马尔可夫链蒙特卡罗方法Markov Ra ndom Field 马尔可夫随机场Maximal clique 最大团Maximum Likelihood Estimatio n/MLE

40、极大似然估计/极大似然法Maximum margin最大间隔Maximum weighted spanning tree 最大带权生成 树Max-Pooli ng最大池化Mean squared error 均方误差Micro-P微查准率Micro-R 微查全率Mi ni mal Description Len gth/MDL最小描述长度Min imax game极小极大博弈Misclassificatio n cost 误分类成本Mixture of experts 混合专家Mome ntum 动量Moral graph 道德图/端正图Multi-class classificatio n多

41、分类Multi-docume nt summarizati on多文档摘要Multi-layer feedforward n eural n etworks多层前馈神经网络Multilayer Perceptro n/MLP多层感知器Multimodal learni ng多模态学习Multiple Dime nsio nal Scali ng多维缩放Multiple lin ear regressio n多元线性回归Multi-resp onse Lin ear Regressi on/ MLR多响应线性回归Mutual in formati on互信息Naive bayes朴素贝叶斯Nai

42、ve Bayes Classifier 朴素贝叶斯分类器Named en tity recog ni tio n命名实体识别Meta-learner元学习器精Normalizati on 归一化Nuclear norm核范数Numerical attribute数值属性Letter OObjective function目标函数Oblique decisi on tree斜决策树Occam s razor 奥卡姆剃刀Odds几率Off-Policy 离策略One shot learni ng次性学习One-Dependent Estimator/ ODE 独依赖估计On-Policy 在策略O

43、rdi nal attribute有序属性Out-of-bag estimate 包外估计Output layer 输出层Output smeari ng 输出调制法Overfitt ing过拟合/过配Oversampli ng过采样Paired t-test 成对 t 检验Pairwise 成对型Pairwise Markov property成对马尔可夫性Parameter 参数Nash equilibrium纳什均衡Natural la nguage gen eratio n/NLG自然语言生成Natural la nguage process ing自然语言处理Negative cla

44、ss 负类Negative correlati on 负相关法Negative Log Likelihood负对数似然Neighbourhood Comp onent An alysis/NCA近邻成分分析Neural Machi ne Tran slation神经机器翻译Neural Turing Machi ne神经图灵机Newton method 牛顿法NIPS国际神经信息处理系统会议No Free Lunch Theorem /NFL没有免费的午餐定理Noise-c on trastive estimati on噪音对比估计Nomi nal attribute列名属性Non-conve

45、x optimizati on非凸优化No nlin ear model非线性模型Non-metric dista nee非度量距离Non-n egative matrix factorizati on非负矩阵分解Non-ordinal attribute无序属性Non-Saturati ng Game非饱和博弈精Norm 范数精Proximal Gradie nt Desce nt/PGD近端梯度下降Pruning 剪枝Pseudo-label 伪标记Qua ntized Neural Network量子化神经网络Quan tum computer量子计算机Quan tum Comput i

46、ng量子计算Quasi Newt on method拟牛顿法Radial Basis Function/RBF径向基函数Ran dom Forest Algorithm随机森林算法Ran dom walk随机漫步Recall查全率/召回率Receiver Operat ing Characteristic/ROCRectified Lin ear Un it/ReLU线性修正单元Recurre nt Neural Network循环神经网络Recursive n eural n etwork递归神经网络Reference model参考模型Regressi on回归Regularizati o

47、n正则化Re in forceme nt lear nin g/RL强化学习Represe ntati on lear ning表征学习Prior 先验Parameter tuning 调参Parse tree 解析树Particle Swarm Optimizatio n/PSO粒子群优化算法Part-of-speech taggi ng词性标注Perceptro n感知机Performa nee measure性能度量Plug and Play Generative Network 即插即用生成网络Plurality voti ng 相对多数投票法Polarity detectio n 极

48、性检测Poly nomial kernel fun ctio n多项式核函数Pooli ng池化Positive class 正类Positive defi nite matrix正定矩阵Post-hoc test后续检验Post-pr uning后剪枝pote ntial function势函数Precisi on 查准率/准确率Prepruning 预剪枝Prin cipal comp onent an alysis/PCA主成分分析Prin ciple of multiple expla nati ons多释原贝 UParameter estimati on参数估计Probability

49、 Graphical Model概率图模型受试者工作特征精Represe nter theorem表示定理精reproduci ng kernel Hilbert space/RKHS再生核希尔伯特空间Re-sampli ng重采样法Rescali ng 再缩放Residual Mappi ng残差映射Residual Network残差网络RestrictedBoltzma nnMachi ne/RBM受限玻尔兹曼机Restricted Isometry Property/RIP限定等距性Re-weighti ng重赋权法Robustness稳健性/鲁棒性Root node 根结点Rule

50、Engine 规则引擎Rule learni ng规则学习Saddle poi nt鞍点Sample space样本空间Sampli ng 采样Score fu nction评分函数Self-Drivi ng 自动驾驶Self-Orga niz ing Map/ SOM 自组织映射Semi-naive Bayes classifiers半朴素贝叶斯分类器Semi-Supervised Lear ning半监督学习semi-Supervised Support Vector Mach ine半监督支持向量机Sen time nt an alysis情感分析Separati ng hyperpla

51、 ne分离超平面Sigmoid fun cti on Sigmoid函数Similarity measure相似度度量Simulated ann eali ng 模拟退火Simulta neous localizati on and mapp ing同步定位与地图构建Sin gular Value Decompositi on奇异值分解Slack variables松弛变量Smoothi ng 平滑Soft margin 软间隔Soft margin maximizati on软间隔最大化Soft voti ng 软投票Sparse represe ntati on稀疏表征Sparsity 稀

52、疏性Specializati on 特化Spectral Clusteri ng 谱聚类Speech Recog niti on 语音识另 USplitti ng variable 切分变量Squash ing function挤压函数Stability-plasticity dilemma 可塑性-稳定性困境Statistical learn ing统计学习精Status feature fun ctio n状态特征函Time Step 时间步骤Stochastic gradie nt desce nt随机梯度下降Stratified sampli ng分层采样Structural risk

53、结构风险Structural risk mi nimizatio n/SRM结构风险最小化Subspace 子空间Supervised learni ng监督学习/有导师学习support vector expa nsion支持向量展式Support Vector Mach in e/SVM支持向量机Surrogat loss替代损失Surrogate fu nctio n替代函数Symbolic lear ning符号学习Symbolism符号主义Syn set同义词集T-Distributi on Stochastic Neighbour Embedd ingt-SNE T -分布随机近邻

54、嵌入Ten sor 张量Ten sor Processi ng Uni ts/TPU张量处理单元The least square method最小二乘法Threshold 阈值Threshold logic un it阈值逻辑单元Threshold-movi ng 阈值移动Toke ni zati on标记化Trai ning error训练误差Training in sta nee训练示例/训练例Tran sductive lear ning直推学习Transfer lear ning迁移学习Treeba nk树库Tria-by-error 试错法True n egative真负类True

55、positive 真正类True Positive Rate/TPR 真正例率Turi ng Machi ne图灵机Twice-learni ng二次学习Un derfitt ing 欠拟合/欠配Un dersampli ng欠采样Un dersta ndability可理解性Un equal cost非均等代价Uni t-step fun ctio n单位阶跃函数Uni variate decisi on tree 单变量决策树Un supervised lear ning无监督学习/无导师学习Un supervised layer-wise trai ning无监督逐层训练Upsampli

56、 ng上采样精Van ishi ng Gradie nt Problem梯度消失问题axiom公理，原则Wasserstein GAN/WGAN Wasserste in生成对抗网Variati onal inference变分推断VC Theory VC 维理论Version space版本空间Viterbi algorithm维特比算法Von Neuma nn architecture冯 诺伊曼架构络Weak learner 弱学习器Weight 权重Weight shari ng 权共享Weighted voti ng加权投票法Withi n-class scatter matrix类内

57、散度矩阵Word embeddi ng词嵌入Word sense disambiguati on 词义消歧Zero-data lear ning零数据学习Zero-shot lear ning零次学习approximati ons 近似值arbitrary 随意的affine仿射的arbitrary 任意的amino acid 氨基酸abstract 提取architecture 架构，体系结构；建造业absolute 绝对的arsenal军火库assig nment 分酉己algebra线性代数asymptotically无症状的appropriate 恰当的bias偏差brevity简短，

58、简洁；短暂800 broader 广泛briefly简短的batch批量con verge nee 收敛，集中至U点convex 凸的con tours 轮廓con stra int 约束con sta nt 常理commercial 商务的compleme ntarity 补充coord in ate asce nt同等级上升精ame nable 经得起检验的精clippi ng 剪下物；剪报；修剪comp onent 分量；部件con ti nu ous连续的covaria nee 协方差canoni cal 正规的，正则的con cave 非凸的correspo nds相符合；相当；通信

59、corollary 推论con crete具体的事物，实在的东西cross validati on交叉验证correlatio n相互关系conven ti on 约定cluster 一簇cen troids质心，形心con verge 收敛computati on ally计算（机）的calculus 计算derive获得，取得dual 二元的duality 二元性；二象性；对偶性derivatio n 求导；得到；起源denote 预示，表示，是 的标志；意味着,diverge nee散度；发散性dime nsion 尺度，规格；维数 dot小圆点distortio n变形density概率密度函数discrete 离散的discrim in ative 有识别能力的 diago nal 对角dispers ion 分散，散开 determ inant决定因素disjoint不相交的 encoun ter 遇至 Uellipses 椭圆equality 等式extra额外的empirical 经验；观察ennm erate例举，计数exceed 超过，越出 expectatio n 期望 efficie nt 生效的e