# Letter D
[*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-00369|Damping|衰减||[1]||
AITD-00370|Damping Factor|阻尼因子||[1]||
AITD-00371|Data|数据||[1]||
AITD-00372|Data Augmentation|数据增强| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00424/978-1-78801-789-3)| |
AITD-00373|Data Generating Distribution|数据生成分布||[1]||
AITD-00374|Data Generating Process|数据生成过程||[1]||
AITD-00375|Data Instance|数据样本||[1]||
AITD-00376|Data Mining|数据挖掘||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)||
AITD-00377|Data Parallelism|数据并行||[1]||
AITD-00378|Data Point|数据点||[1]||
AITD-00379|Data Preprocessing|数据预处理||[1]||
AITD-00380|Data Set|数据集||[[1]](https://www.jiqizhixin.com/articles/2018-01-04-6)[[2]](https://www.nature.com/articles/s41557-021-00716-z)||
AITD-00381|Data Wrangling|数据整理||[[1]](https://www.jiqizhixin.com/articles/2017-08-25-5)||
AITD-00382|Dataset Augmentation|数据集增强||[1]||
AITD-00383|Davidon-Fletcher-Powell|DFP||[1]||
AITD-00384|Debugging Strategy|调试策略||[1]||
AITD-00385|Decision Boundary|决策边界||[1]||
AITD-00386|Decision Function|决策函数||[1]||
AITD-00387|Decision Stump|决策树桩||[1]||
AITD-00388|Decision Surface|决策平面||[1]||
AITD-00389|Decision Tree|决策树|DT|[[1]](https://www.jiqizhixin.com/articles/2018-01-10)[[2]](https://www.jiqizhixin.com/articles/2017-11-29-5)[[3]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)[[4]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)||
AITD-00390|Decoder|解码器||[1]||
AITD-00391|Decoding|解码||[1]||
AITD-00392|Decompose|分解||[1]||
AITD-00393|Deconvolution|反卷积||[1]||
AITD-00394|Deconvolutional Network|反卷积网络||[[1]](https://www.jiqizhixin.com/articles/2017-09-14)||
AITD-00395|Deduction|演绎||[1]||
AITD-00396|Deep Belief Network|深度信念网络|DBN|[1]||
AITD-00397|Deep Boltzmann Machine|深度玻尔兹曼机|DBM|[1]||
AITD-00398|Deep Circuit|深度回路||[1]||
AITD-00399|Deep Convolutional Generative Adversarial Network|深度卷积生成对抗网络|DCGAN|[1]||
AITD-00400|Deep Feedforward Network|深度前馈网络||[1]||
AITD-00401|Deep Generative Model|深度生成模型||[1]||
AITD-00402|Deep Learning|深度学习|DL|[[1]](https://www.jiqizhixin.com/articles/2018-01-17-2)[[2]](https://www.jiqizhixin.com/articles/2018-01-15-4)[[3]](https://www.jiqizhixin.com/articles/2018-01-15-2)[[4]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)[[5]](https://www.nature.com/articles/s41557-021-00716-z)||
AITD-00403|Deep Model|深度模型||[1]||
AITD-00404|Deep Network|深度网络||[1]||
AITD-00405|Deep Neural Network|深度神经网络|DNN|[[1]](https://www.jiqizhixin.com/articles/2018-01-15-2)[[2]](https://www.jiqizhixin.com/articles/2018-01-10)[[3]](https://www.jiqizhixin.com/articles/2018-01-07-2)[[4]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3)[[5]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00372/978-1-78801-789-3)[[6]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)[[7]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00280/978-1-78801-789-3)||
AITD-00406|Deep Q-Learning|深度 Q 学习||[[1]](https://www.jiqizhixin.com/articles/2017-10-10-2)[[2]](https://www.jiqizhixin.com/articles/2017-08-22-8)||
AITD-00407|Deep Q-Network|深度Q网络|DQN|[1]||
AITD-00408|Deep Reinforcement Learning|深度强化学习| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00340/978-1-78801-789-3)| |
AITD-00409|Deep Sequence Model|深度序列模型||[1]||
AITD-00410|Default Rule|默认规则||[1]||
AITD-00411|Definite Integral|定积分||[1]||
AITD-00412|Degree Of Belief|信任度||[1]||
AITD-00413|Delta-Bar-Delta|Delta-Bar-Delta||[1]||
AITD-00414|Denoising|去噪||[1]||
AITD-00415|Denoising Autoencoder|去噪自编码器||[1]||
AITD-00416|Denoising Score Matching|去躁分数匹配||[1]||
AITD-00417|Denominator Layout|分母布局||[1]||
AITD-00418|Dense|稠密||[1]||
AITD-00419|Density Estimation|密度估计||[1]||
AITD-00420|Density-Based Clustering|密度聚类||[1]||
AITD-00421|Dependency|依赖||[1]||
AITD-00422|Depth|深度||[1]||
AITD-00423|Derivative|导数||[1]||
AITD-00424|Description|描述||[1]||
AITD-00425|Design Matrix|设计矩阵||[1]||
AITD-00426|Detailed Balance|细致平衡||[1]||
AITD-00427|Detailed Balance Equation|细致平衡方程||[1]||
AITD-00428|Detector Stage|探测级||[1]||
AITD-00429|Determinant|行列式||[1]||
AITD-00430|Deterministic|确定性||[1]||
AITD-00431|Deterministic Model|确定性模型||[1]||
AITD-00432|Deterministic Policy|确定性策略||[1]||
AITD-00433|Development Set|开发集||[1]||
AITD-00434|Diagonal Matrix|对角矩阵||[1]||
AITD-00435|Diameter|直径||[1]||
AITD-00436|Dictionary|字典||[1]||
AITD-00437|Dictionary Learning|字典学习||[1]||
AITD-00438|Differentiable Function|可微函数||[1]||
AITD-00439|Differentiable Neural Computer|可微分神经计算机||[[1]](https://www.jiqizhixin.com/articles/2017-04-11-7)||
AITD-00440|Differential Entropy|微分熵||[1]||
AITD-00441|Differential Equation|微分方程||[1]||
AITD-00442|Differentiation|微分||[1]||
AITD-00443|Dilated Convolution|膨胀卷积||[1]||
AITD-00444|Dimension|维度||[1]||
AITD-00445|Dimension Reduction|降维||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)||
AITD-00446|Dimensionality Reduction Algorithm|降维算法| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00169/978-1-78801-789-3)[[2]](https://www.jiqizhixin.com/articles/2017-08-31-2)| |
AITD-00447|Dirac Delta Function|Dirac Delta函数||[1]||
AITD-00448|Dirac Distribution|Dirac分布||[1]||
AITD-00449|Directed|有向||[1]||
AITD-00450|Directed Acyclic Graph|有向非循环图|DAG|[1]||
AITD-00451|Directed Edge|有向边||[1]||
AITD-00452|Directed Graph|有向图||[1]||
AITD-00453|Directed Graphical Model|有向图模型||[1]||
AITD-00454|Directed Model|有向模型||[1]||
AITD-00455|Directed Separation|有向分离||[1]||
AITD-00456|Directional Derivative|方向导数||[1]||
AITD-00457|Dirichlet Distribution|狄利克雷分布||[1]||
AITD-00458|Disagreement Measure|不合度量||[1]||
AITD-00459|Disagreement-Based Methods|基于分歧的方法||[1]||
AITD-00460|Discount Factor|衰减系数||[1]||
AITD-00461|Discounted Return|折扣回报||[1]||
AITD-00462|Discrete Optimization|离散优化||[1]||
AITD-00463|Discriminant Function|判别函数||[1]||
AITD-00464|Discriminative Approach|判别方法||[1]||
AITD-00465|Discriminative Model|判别式模型||[1]||
AITD-00466|Discriminative RBM|判别RBM||[1]||
AITD-00467|Discriminator|判别器||[1]||
AITD-00468|Discriminator Network|判别网络||[1]||
AITD-00469|Distance|距离||[1]||
AITD-00470|Distance Measure|距离度量||[1]||
AITD-00471|Distance Metric Learning|距离度量学习||[1]||
AITD-00472|Distributed Representation|分布式表示||[1]||
AITD-00473|Distribution|分布||[[1]](https://www.jiqizhixin.com/articles/2018-01-09)||
AITD-00474|Diverge|发散||[1]||
AITD-00475|Divergence|散度||[1]||
AITD-00476|Diversity|多样性||[1]||
AITD-00477|Diversity Measure|多样性度量/差异性度量||[1]||
AITD-00478|Divide-And-Conquer|分而治之||[1]||
AITD-00479|Divisive|分裂||[1]||
AITD-00480|Domain|领域||[1]||
AITD-00481|Domain Adaptation|领域自适应||[1]||
AITD-00482|Dominant Eigenvalue|主特征值||[1]||
AITD-00483|Dominant Eigenvector|主特征向量||[1]||
AITD-00485|Dominant Strategy|占优策略||[1]||
AITD-00486|Dot Product|点积||[1]||
AITD-00487|Double Backprop|双反向传播||[1]||
AITD-00488|Doubly Block Circulant Matrix|双重分块循环矩阵||[1]||
AITD-00489|Down Sampling|下采样||[1]||
AITD-00490|Downstream Task|下游任务||[1]||
AITD-00491|Dropout|暂退法||[1]||
AITD-00492|Dropout Boosting|暂退Boosting||[1]||
AITD-00493|Dropout Mask|暂退掩码||[1]||
AITD-00494|Dropout Method|暂退法||[1]||
AITD-00495|Dual Algorithm|对偶算法||[1]||
AITD-00496|Dual Problem|对偶问题||[1]||
AITD-00497|Dummy Node|哑结点||[1]||
AITD-00498|Dying ReLU Problem|死亡ReLU问题||[1]||
AITD-00499|Dynamic Bayesian Network|动态贝叶斯网络||[1]||
AITD-00500|Dynamic Computational Graph|动态计算图||[1]||
AITD-00501|Dynamic Fusion|动态融合||[1]||
AITD-00502|Dynamic Programming|动态规划||[1]||
AITD-00503|Dynamic Structure|动态结构||[1]||
AITD-00504|Dynamical System|动力系统||[1]||
AITD-02171|Data Availability|数据可用性| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00206/978-1-83916-023-3)| |
AITD-02172|Data Cleaning|数据清洗| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02173|Data Collection|数据采集| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3)[[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-02174|Data Considerations|数据注意事项| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00372/978-1-78801-789-3)| |
AITD-02175|Data Curation|数据监管| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02176|Data Disparity|数据差异| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3)| |
AITD-02177|Data Dredging|数据挖掘| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02178|Data Imputation|数据填补| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02179|Data Labels|数据标签| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3)| |
AITD-02180|Data Leakage|数据泄露| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02181|Data Pre-Processing|数据预处理| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02182|Data Processing|数据处理| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00340/978-1-78801-789-3)| |
AITD-02183|Data Quality|数据质量| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00372/978-1-78801-789-3)| |
AITD-02184|Data Reduction|数据缩减| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02185|Data Representation|数据表示| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02186|Data Selection|数据选择| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02187|Data Sources|数据源| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02188|Data Splitting|数据拆分| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02189|Data Transformation|数据转换| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02190|Data-Driven|数据驱动| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00424/978-1-78801-789-3)| |
AITD-02191|Data-Driven Decision-Making|数据驱动的决策| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00450/978-1-78801-789-3)| |
AITD-02192|Data-Driven Methods|数据驱动的方法| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02193|Data-Driven Spectral Analysis|数据驱动的光谱分析| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00424/978-1-78801-789-3)| |
AITD-02194|Data-Mining|数据挖掘| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02195|Database|数据库| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02196|DE Algorithm|差分进化算法| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)| |
AITD-02197|Deeplift|DeepLift模型| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00340/978-1-78801-789-3)| |
AITD-02198|Dendrogram|树状图| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00424/978-1-78801-789-3)| |
AITD-02199|Density Functional Theory|密度泛函理论|DFT|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00512/978-1-78801-789-3)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00280/978-1-78801-789-3)[[3]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00424/978-1-78801-789-3)[[4]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00169/978-1-78801-789-3)[[5]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)[[6]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02200|Density-Based Spatial Clustering Of Applications With Noise|DBSCAN密度聚类|DBSCAN|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02201|Descriptor|描述符| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)| |
AITD-02202|DFT Calculations|DFT计算| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00280/978-1-78801-789-3)| |
AITD-02203|Dice Similarity|戴斯相似度| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)| |
AITD-02204|Differential Evolution|差分进化|DE|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)| |
AITD-02205|Dimensionality Reduction|降维| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)| |
AITD-02206|Direct Neural Network Modeling|正向神经网络建模| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)| |
AITD-02207|Discrete Manner|离散方式| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3)| |
AITD-02208|Discrete Quanta|离散量子| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00001/978-1-78801-789-3)| |
AITD-02209|Discretization|离散化| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02210|Distillation|蒸馏| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00340/978-1-78801-789-3)| |
AITD-02211|Dynamic Datasets|动态数据集| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02212|Dynamic Filter Networks|动态过滤网络| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)| |
AITD-02213|Dynamic Sampling|动态采样| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00450/978-1-78801-789-3)| |
AITD-02214|Dynamics Simulations|动力学模拟| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)| |
