# Letter C
[*Return*](https://github.com/SyncedAI00/Artificial-Intelligence-Terminology/blob/master/README.md)
索引编号|英文术语|中文翻译|常用缩写|来源&扩展|备注
---|---|---|---|---|---
AITD-00190|Calculus|微积分||[1]||
AITD-00191|Calculus of Variations|变分法||[1]||
AITD-00192|Calibration|校准||[1]||
AITD-00193|Canonical|正则的||[1]||
AITD-00194|Canonical Correlation Analysis|典型相关分析|CCA|[1]||
AITD-00195|Capacity|容量||[1]||
AITD-00196|Cartesian Coordinate|笛卡尔坐标||[1]||
AITD-00197|Cascade|级联||[1]||
AITD-00198|Cascade-Correlation|级联相关||[1]||
AITD-00199|Catastrophic Forgetting|灾难性遗忘 ||[1]||
AITD-00200|Categorical Attribute|分类属性||[1]||
AITD-00201|Categorical Distribution|类别分布||[1]||
AITD-00202|Causal Factor|因果因子||[1]||
AITD-00203|Causal Modeling|因果模型||[1]||
AITD-00204|Cell|单元||[1]||
AITD-00205|Centered Difference|中心差分||[1]||
AITD-00206|Central Limit Theorem|中心极限定理||[1]||
AITD-00207|Chain Rule|链式法则||[1]||
AITD-00208|Channel|通道||[1]||
AITD-00209|Chaos|混沌||[1]||
AITD-00210|Chebyshev Distance|切比雪夫距离||[1]||
AITD-00211|Chord|弦||[1]||
AITD-00212|Chordal Graph|弦图||[1]||
AITD-00213|City Block Distance|街区距离||[1]||
AITD-00214|Class|类别||[1]||
AITD-00215|Class Label|类标记||[1]||
AITD-00216|Class-Conditional Probability|类条件概率||[1]||
AITD-00217|Class-Imbalance|类别不平衡||[1]||
AITD-00218|Classification|分类||[[1]](https://www.nature.com/articles/s41557-021-00716-z)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)||
AITD-00219|Classification And Regression Tree|分类与回归树|CART|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00424/978-1-78801-789-3)||
AITD-00220|Classifier|分类器||[1]||
AITD-00221|Clip Gradient|梯度截断||[1]||
AITD-00222|Clipping The Gradient|截断梯度||[1]||
AITD-00223|Clique|团||[1]||
AITD-00224|Clique Potential|团势能||[1]||
AITD-00225|Clockwork RNN|时钟循环神经网络||[1]||
AITD-00226|Closed Form Solution|闭式解||[1]||
AITD-00227|Closed-Form|闭式||[1]||
AITD-00228|Cluster|簇||[[1]](https://www.nature.com/articles/s41557-021-00716-z)||
AITD-00229|Cluster Analysis|聚类分析||[1]||
AITD-00230|Cluster Assumption|聚类假设||[1]||
AITD-00231|Clustering|聚类||[[1]](https://www.jiqizhixin.com/articles/2018-01-09)||
AITD-00232|Clustering Ensemble|聚类集成||[1]||
AITD-00233|Co-Adapting|共适应||[1]||
AITD-00234|Co-Occurrence|共现||[1]||
AITD-00235|Co-Occurrence Frequency|共现词频||[1]||
AITD-00236|Co-Training|协同训练||[1]||
AITD-00237|Code|编码||[1]||
AITD-00238|Codebook Learning|码书学习||[1]||
AITD-00239|Coding Matrix|编码矩阵||[1]||
AITD-00240|Collaborative Filtering|协同过滤||[[1]](https://www.jiqizhixin.com/articles/2017-12-23-2)||
AITD-00241|Collapsed Gibbs Sampling|收缩的吉布斯抽样||[1]||
AITD-00242|Collinearity|共线性||[1]||
AITD-00243|COLT|国际学习理论会议||[1]||
AITD-00244|Column|列||[1]||
AITD-00245|Column Space|列空间||[1]||
AITD-00246|Combinatorial Optimization|组合优化||[1]||
AITD-00247|Committee-Based Learning|基于委员会的学习||[1]||
AITD-00248|Common Cause|共因||[1]||
AITD-00249|Common Parent|同父||[1]||
AITD-00250|Compact Singular Value Decomposition|紧奇异值分解||[1]||
AITD-00251|Competitive Learning|竞争型学习||[1]||
AITD-00252|Complementary Slackness|互补松弛||[1]||
AITD-00253|Complete Graph|完全图||[1]||
AITD-00254|Complete Linkage|完全连接||[1]||
AITD-00255|Complete-Data|完全数据||[1]||
AITD-00256|Complex Cell|复杂细胞||[1]||
AITD-00257|Component Learner|组件学习器||[1]||
AITD-00258|Compositionality|组合性||[1]||
AITD-00259|Comprehensibility|可解释性||[1]||
AITD-00260|Computation Cost|计算代价||[1]||
AITD-00261|Computation Graph|计算图||[1]||
AITD-00262|Computational Learning Theory|计算学习理论||[1]||
AITD-00263|Computational Linguistics|计算语言学||[1]||
AITD-00264|Computer Vision|计算机视觉| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00001/978-1-78801-789-3)| |
AITD-00265|Concatenate|连结||[1]||
AITD-00266|Concept Class|概念类||[1]||
AITD-00267|Concept Drift|概念漂移||[1]||
AITD-00268|Concept Learning System|概念学习系统|CLS|[1]||
AITD-00269|Concept Shift|概念偏移||[1]||
AITD-00270|Conditional Computation|条件计算||[1]||
AITD-00271|Conditional Entropy|条件熵||[1]||
AITD-00272|Conditional Independence|条件独立||[1]||
AITD-00273|Conditional Language Model|条件语言模型||[1]||
AITD-00274|Conditional Mutual Information|条件互信息||[1]||
AITD-00275|Conditional Probability|条件概率||[1]||
AITD-00276|Conditional Probability Density Function|条件概率密度函数||[1]||
AITD-00277|Conditional Probability Distribution|条件概率分布||[1]||
AITD-00278|Conditional Probability Table|条件概率表|CPT|[1]||
AITD-00279|Conditional Random Field|条件随机场|CRF|[1]||
AITD-00280|Conditional Risk|条件风险||[1]||
AITD-00281|Conditionally Independent|条件独立的||[1]||
AITD-00282|Conference On Neural Information Processing Systems|国际神经信息处理系统会议|NeurIPS|[[1]](https://www.jiqizhixin.com/articles/2017-12-18-9)||
AITD-00283|Confidence|置信度||[1]||
AITD-00284|Conflict Resolution|冲突消解||[1]||
AITD-00285|Confusion Matrix|混淆矩阵||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)|机器学习|
AITD-00286|Conjugate|共轭||[1]||
AITD-00287|Conjugate Directions|共轭方向||[1]||
AITD-00288|Conjugate Distribution|共轭分布||[1]||
AITD-00289|Conjugate Gradient|共轭梯度| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00488/978-1-78801-789-3)|优化，数学|
AITD-00290|Conjugate Prior|共轭先验||[1]||
AITD-00291|Connection Weight|连接权||[1]||
AITD-00292|Connectionism|连接主义||[1]||
AITD-00293|Consistency|一致性||[1]||
AITD-00294|Consistency Convergence|一致性收敛||[1]||
AITD-00295|Constrained Optimization|约束优化||[1]||
AITD-00296|Content-Addressable Memory|基于内容寻址的存储|CAM|[1]||
AITD-00297|Context Variable|上下文变量||[1]||
AITD-00298|Context Vector|上下文向量||[1]||
AITD-00299|Context Window|上下文窗口||[1]||
AITD-00300|Context Word|上下文词||[1]||
AITD-00301|Context-Specific Independences|特定上下文独立||[1]||
AITD-00302|Contextual Bandit|上下文赌博机/上下文老虎机||[1]||
AITD-00303|Contextualized Representation|基于上下文的表示||[1]||
AITD-00304|Contingency Table|列联表||[1]||
AITD-00305|Continous Bag-Of-Words Model|连续词袋模型|CBOW|[1]||
AITD-00306|Continuation Method|延拓法||[1]||
AITD-00307|Continuing Task|持续式任务||[1]||
AITD-00308|Continuous Attribute|连续属性||[1]||
AITD-00309|Continuous Learning|持续学习||[1]||
AITD-00310|Continuous Optimization|连续优化||[1]||
AITD-00311|Contractive|收缩||[1]||
AITD-00312|Contractive Autoencoder|收缩自编码器||[1]||
AITD-00313|Contractive Neural Network|收缩神经网络||[1]||
AITD-00314|Contrastive Divergence|对比散度||[1]||
AITD-00315|Controller|控制器||[1]||
AITD-00316|Convergence|收敛||[1]||
AITD-00317|Conversational Agent|会话智能体||[1]||
AITD-00318|Convex Optimization|凸优化||[[1]](https://www.jiqizhixin.com/articles/2017-12-29-4)||
AITD-00319|Convex Quadratic Programming|凸二次规划||[1]||
AITD-00320|Convex Set|凸集||[1]||
AITD-00321|Convexity|凸性||[1]||
AITD-00322|Convolution|卷积||[1]||
AITD-00323|Convolutional Boltzmann Machine|卷积玻尔兹曼机||[1]||
AITD-00324|Convolutional Deep Belief Network|卷积深度信念网络|CDBN|[1]||
AITD-00325|Convolutional Kernel|卷积核||[1]||
AITD-00326|Convolutional Network|卷积网络||[1]||
AITD-00327|Convolutional Neural Network|卷积神经网络|CNN|[[1]](https://www.jiqizhixin.com/articles/2017-12-19-8)[[2]](https://www.jiqizhixin.com/articles/2018-01-08-6)[[3]](https://www.jiqizhixin.com/articles/2017-12-18-2)||
AITD-00328|Coordinate|坐标||[1]||
AITD-00329|Coordinate Ascent|坐标上升||[1]||
AITD-00330|Coordinate Descent|坐标下降||[1]||
AITD-00331|Coparent|共父||[1]||
AITD-00332|Corpus|语料库||[1]||
AITD-00333|Correlation|相关系数| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3)| |
AITD-00334|Correlation Coefficient|相关系数||[1]||
AITD-00335|Cosine|余弦||[1]||
AITD-00336|Cosine Decay|余弦衰减||[1]||
AITD-00337|Cosine Similarity|余弦相似度||[1]||
AITD-00338|Cost|代价||[1]||
AITD-00339|Cost Curve|代价曲线||[1]||
AITD-00340|Cost Function|代价函数||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)[[3]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00169/978-1-78801-789-3)||
AITD-00341|Cost Matrix|代价矩阵||[1]||
AITD-00342|Cost-Sensitive|代价敏感||[1]||
AITD-00343|Covariance|协方差||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)||
AITD-00344|Covariance Matrix|协方差矩阵||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)||
AITD-00345|Covariance RBM|协方差RBM||[1]||
AITD-00346|Covariate Shift|协变量偏移||[1]||
AITD-00347|Coverage|覆盖||[1]||
AITD-00348|Credit Assignment Problem|贡献度分配问题|CAP|[1]||
AITD-00349|Criterion|准则||[1]||
AITD-00350|Critic|评论员||[1]||
AITD-00351|Critic Network|评价网络||[1]||
AITD-00352|Critical Point|临界点||[1]||
AITD-00353|Critical Temperatures|临界温度||[1]||
AITD-00354|Cross Correlation|互相关||[1]||
AITD-00355|Cross Entropy|交叉熵||[1]||
AITD-00356|Cross Validation|交叉验证||[[1]](https://www.jiqizhixin.com/articles/2017-10-16-4)||
AITD-00357|Cross-Entropy Loss Function|交叉熵损失函数||[1]||
AITD-00358|Crowdsourcing|众包||[[1]](https://www.jiqizhixin.com/articles/2017-12-28-2)||
AITD-00359|Cumulative Distribution Function|累积分布函数|CDF|[1]||
AITD-00360|Cumulative Function|累积函数||[1]||
AITD-00361|Curriculum Learning|课程学习||[1]||
AITD-00362|Curse of Dimensionality|维数灾难||[1]||
AITD-00363|Curvature|曲率||[1]||
AITD-00364|Curve-Fitting|曲线拟合||[1]||
AITD-00365|Cut Point|截断点||[1]||
AITD-00366|Cutting Plane Algorithm|割平面法||[1]||
AITD-00367|Cybernetics|控制论||[1]||
AITD-00368|Cyclic Learning Rate|循环学习率||[1]||
AITD-02138|C4.5 Algorithm|C4.5 算法| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)|一种决策树算法，数据挖掘|
AITD-02139|Calculation Uncertainties|计算不确定性| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02140|Canonical Ml Methods|经典机器学习方法| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)| |
AITD-02141|Cartesian Distance Vector|笛卡尔距离向量| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00488/978-1-78801-789-3)| |
AITD-02142|CASP|国际蛋白质结构预测竞赛| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3)|生物|
AITD-02143|Categorical Data|分类数据| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00206/978-1-83916-023-3)| |
AITD-02144|Categorization Algorithms|分类算法| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)| |
AITD-02145|ChemDataExtractor|化学数据提取器|CDE|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00280/978-1-78801-789-3)| |
AITD-02146|Chi-Squared|卡方（分布）| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02147|Classification Model|分类模型| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00195/978-1-83916-023-3)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)| |
AITD-02148|Cluster Resolution Feature Selection|聚类分辨率特征选择|CR-FS|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02149|Cluster-Based Splitting|基于聚类的分离方法| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02150|Clustering Methods|聚类方法| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00169/978-1-78801-789-3)| |
AITD-02151|Code Pipeline|代码流水线| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02152|Coefficient of Determination|决定系数|r^2 or R^2|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)|统计|
AITD-02153|Combined Gradient|组合梯度（算法）| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)|机器学习|
AITD-02154|Complex Data|复合数据| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00206/978-1-83916-023-3)| |
AITD-02155|Computational Cost|计算成本| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)| |
AITD-02156|Computational Optimisation|计算优化| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00280/978-1-78801-789-3)| |
AITD-02157|Computational Science|计算科学| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02158|Computational Toxicology|计算毒理学| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00001/978-1-78801-789-3)| |
AITD-02159|Computer Science|计算机科学| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)| |
AITD-02160|Computer Simulations|计算机模拟| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00512/978-1-78801-789-3)| |
AITD-02161|Computer-Aided|计算机辅助| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3)| |
AITD-02162|Constraint|约束| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00169/978-1-78801-789-3)| |
AITD-02163|Core-Loss Spectrum|（电子能量损失谱中的）高能区域| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00424/978-1-78801-789-3)| |
AITD-02164|Coulomb Matrix|库仑矩阵| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)| |
AITD-02165|Coupled-Cluster Predictions|耦合簇预测| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00372/978-1-78801-789-3)| |
AITD-02166|Cross-Validated Coefficient of Determination|交叉验证的决定系数|q^2 or Q^2|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)| |
AITD-02167|Cross-Validation|交叉验证|CV|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)[[2]](https://www.nature.com/articles/s41557-021-00716-z)[[3]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02168|Crowd-Sourcing|众包| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| 商业模式|
AITD-02169|Cut-Points|切点| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02170|Cutoff Radial Function|截断径向函数| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00488/978-1-78801-789-3)| |
