# 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) | |