| Calculus of variations |
變分法 |
| Calibration |
校準(zhǔn) |
| Cascade/Coalesced |
級聯(lián) |
| Cascade-Correlation |
級聯(lián)相關(guān) |
| Categorical attribute |
離散屬性 |
| Categorical distribution |
范疇分布 |
| Causal factor |
因果因子 |
| Causal modeling |
因果模型 |
| Centered difference |
中心差分 |
| Central limit theorem |
中心極限定理 |
| Chain rule |
鏈?zhǔn)椒▌t |
| Chordal graph |
弦圖 |
| Class-conditional probability |
類條件概率 |
| Classification and regression tree/CART |
分類與回歸樹 |
| Classifier |
分類器 |
| Class-imbalance |
類別不平衡 |
| Clip gradient |
梯度截?cái)?/td>
|
| Clique potential |
團(tuán)勢能 |
| Closed-form |
閉式 |
| Cluster |
簇/類/集群 |
| Cluster analysis |
聚類分析 |
| Clustering |
聚類 |
| Clustering ensemble |
聚類集成 |
| Co-adapting |
共適應(yīng) |
| Coding matrix |
編碼矩陣 |
| Collaborative filtering |
協(xié)同過濾 |
| COLT |
國際學(xué)習(xí)理論會(huì)議 |
| Committee-based learning |
基于委員會(huì)的學(xué)習(xí) |
| Competitive learning |
競爭型學(xué)習(xí) |
| Complete graph |
完全圖 |
| Component learner |
組件學(xué)習(xí)器 |
| Comprehensibility |
可解釋性 |
| Computation Cost |
計(jì)算成本 |
| Computational Linguistics |
計(jì)算語言學(xué) |
| Computer vision |
計(jì)算機(jī)視覺 |
| Concept drift |
概念漂移 |
| Concept Learning System/CLS |
概念學(xué)習(xí)系統(tǒng) |
| Conditional entropy |
條件熵 |
| Conditional mutual information |
條件互信息 |
| Conditional Probability Table/CPT |
條件概率表 |
| Conditional random field/CRF |
條件隨機(jī)場 |
| Conditional risk |
條件風(fēng)險(xiǎn) |
| Confidence |
置信度 |
| Confusion matrix |
混淆矩陣 |
| Conjugate directions |
共軛方向 |
| Conjugate distribution |
共軛分布 |
| Conjugate gradient |
共軛梯度 |
| Connection weight |
連接權(quán) |
| Connectionism |
連結(jié)主義 |
| Consistency |
一致性/相合性 |
| Consistency convergence |
一致性收斂 |
| Contingency table |
列聯(lián)表 |
| Continuation method |
延拓法 |
| Continuous attribute |
連續(xù)屬性 |
| Contractive autoencoder |
收縮自編碼器 |
| Contractive neural network |
收縮神經(jīng)網(wǎng)絡(luò) |
| Convex optimization |
凸優(yōu)化 |
| Convergence |
收斂 |
| Conversational agent |
會(huì)話智能體 |
| Convex optimization |
凸優(yōu)化 |
| Convex quadratic programming |
凸二次規(guī)劃 |
| Convexity |
凸性 |
| Convolutional Boltzmann Machine |
卷積玻爾茲曼機(jī) |
| Convolutional neural network/CNN |
卷積神經(jīng)網(wǎng)絡(luò) |
| Co-occurrence |
同現(xiàn) |
| Coordinate descent |
坐標(biāo)下降 |
| Correlation coefficient |
相關(guān)系數(shù) |
| Cosine similarity |
余弦相似度 |
| Cost curve |
成本曲線 |
| Cost Function |
成本函數(shù) |
| Cost matrix |
成本矩陣 |
| Cost-sensitive |
成本敏感 |
| Covariance |
協(xié)方差 |
| Covariance matrix |
協(xié)方差矩陣 |
| Cross entropy |
交叉熵 |
| Cross validation |
交叉驗(yàn)證 |
| Cross-correlation |
互相關(guān)函數(shù) |
| Crowdsourcing |
眾包 |