# Letter E
[*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-00505|Eager Learning|急切学习||[1]||
AITD-00506|Early Stopping|早停||[1]||
AITD-00507|Earth-Mover's Distance|推土机距离|EMD|[1]||
AITD-00508|Echo State Network|回声状态网络||[1]||
AITD-00509|Edge|边||[1]||
AITD-00510|Edge Device|边缘设备||[[1]](https://www.jiqizhixin.com/articles/2017-09-24-8)||
AITD-00511|Effective Capacity|有效容量||[1]||
AITD-00512|Eigendecomposition|特征分解||[[1]](https://www.jiqizhixin.com/articles/2017-07-05-2)||
AITD-00513|Eigenvalue|特征值||[1]||
AITD-00514|Eigenvalue Decomposition|特征值分解||[1]||
AITD-00515|Elastic Net Regularization|弹性网络正则化||[1]||
AITD-00516|Elastic Weight Consolidation|弹性权重巩固||[1]||
AITD-00517|Element-Wise Product|逐元素积||[1]||
AITD-00518|Elementary Basis Vectors|基本单位向量||[1]||
AITD-00519|Ellipsoid Method|椭球法||[1]||
AITD-00520|Embedding|嵌入||[[1]](https://www.jiqizhixin.com/articles/2018-01-02-5)||
AITD-00521|Embedding Lookup Table|嵌入表||[1]||
AITD-00522|Emotional Analysis|情绪分析||[1]||
AITD-00523|Empirical Conditional Entropy|经验条件熵||[1]||
AITD-00524|Empirical Distribution|经验分布||[1]||
AITD-00525|Empirical Entropy|经验熵||[1]||
AITD-00526|Empirical Error|经验误差||[1]||
AITD-00527|Empirical Frequency|经验频率||[1]||
AITD-00528|Empirical Loss|经验损失||[1]||
AITD-00529|Empirical Risk|经验风险||[1]||
AITD-00530|Empirical Risk Minimization|经验风险最小化|ERM|[1]||
AITD-00531|Encoder|编码器||[1]||
AITD-00532|Encoder-Decoder|编码器-解码器（模型）| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00169/978-1-78801-789-3)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3)| |
AITD-00533|Encoding|编码||[1]||
AITD-00534|End-To-End|端到端||[[1]](https://www.jiqizhixin.com/articles/2017-12-15)||
AITD-00535|End-To-End Learning|端到端学习||[1]||
AITD-00536|End-To-End Memory Network|端到端记忆网络|Memn2N|[1]||
AITD-00537|Energy Function|能量函数||[1]||
AITD-00538|Energy Gap|能量差异||[1]||
AITD-00539|Energy-Based Model|基于能量的模型||[1]||
AITD-00540|Ensemble|集成||[1]||
AITD-00541|Ensemble Learning|集成学习||[[1]](https://www.jiqizhixin.com/articles/2018-01-14-8)||
AITD-00542|Ensemble Pruning|集成修剪||[1]||
AITD-00543|Entropy|熵||[1]||
AITD-00544|Entropy Encoding|熵编码||[1]||
AITD-00545|Environment|环境||[1]||
AITD-00546|Episode|回合||[1]||
AITD-00547|Episodic Task|回合式任务||[1]||
AITD-00548|Epoch|轮||[1]||
AITD-00549|Equal-Width Convolution|等宽卷积||[1]||
AITD-00550|Equality Constraint|等式约束||[1]||
AITD-00551|Equilibrium Distribution|均衡分布||[1]||
AITD-00552|Equivariance|等变||[1]||
AITD-00553|Equivariant Representations|等变表示||[1]||
AITD-00554|Error|误差||[1]||
AITD-00555|Error Backpropagation Algorithm|误差反向传播算法||[1]||
AITD-00556|Error Backpropagation|误差反向传播||[1]||
AITD-00557|Error Bar|误差条||[1]||
AITD-00558|Error Correcting Output Codes|纠错输出编码|ECOC|[1]||
AITD-00559|Error Function|误差函数| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)| |
AITD-00560|Error Metric|误差度量||[1]||
AITD-00561|Error Rate|错误率||[1]||
AITD-00562|Error-Ambiguity Decomposition|误差－分歧分解||[1]||
AITD-00563|Estimation Error|估计误差||[1]||
AITD-00564|Estimation Of Mathematical Expectation|数学期望估计||[1]||
AITD-00565|Estimator|估计/估计量||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00340/978-1-78801-789-3)||
AITD-00566|Euclidean Distance|欧氏距离||[1]||
AITD-00567|Euclidean Norm|欧几里得范数||[1]||
AITD-00568|Euclidean Space|欧氏空间||[1]||
AITD-00569|Euler-Lagrange Equation|欧拉-拉格朗日方程||[1]||
AITD-00570|Evaluation Criterion|评价准则||[1]||
AITD-00571|Evidence|证据||[1]||
AITD-00572|Evidence Lower Bound|证据下界|ELBO|[1]||
AITD-00573|Evolution|演化||[1]||
AITD-00574|Evolutionary Computation|演化计算||[1]||
AITD-00575|Exact|确切的||[1]||
AITD-00576|Exact Inference|精确推断||[1]||
AITD-00577|Example|样例||[1]||
AITD-00578|Excess Error|额外误差||[1]||
AITD-00579|Exchangeable|可交换的||[1]||
AITD-00580|Expectation|期望||[1]||
AITD-00581|Expectation Maximization Algorithm|期望极大算法||[1]||
AITD-00582|Expectation Maximization|期望最大化|EM|[1]||
AITD-00583|Expectation Step|E步||[1]||
AITD-00584|Expected Error|期望错误||[1]||
AITD-00585|Expected Loss|期望损失||[1]||
AITD-00586|Expected Return|期望回报||[1]||
AITD-00587|Expected Risk|期望风险||[1]||
AITD-00588|Expected Value|期望值||[1]||
AITD-00589|Experience|经验||[1]||
AITD-00590|Experience Replay|经验回放||[1]||
AITD-00591|Expert Network|专家网络||[1]||
AITD-00592|Expert System|专家系统||[1]||
AITD-00593|Explaining Away|相消解释||[1]||
AITD-00594|Explaining Away Effect|相消解释作用||[1]||
AITD-00595|Explanatory Factort|解释因子||[1]||
AITD-00596|Explicit Density Model|显式密度模型||[1]||
AITD-00597|Exploding Gradient|梯度爆炸||[1]||
AITD-00598|Exploitation|利用||[1]||
AITD-00599|Exploration|探索||[1]||
AITD-00600|Exploration-Exploitation Dilemma|探索-利用窘境||[1]||
AITD-00601|Exponential Decay|指数衰减||[1]||
AITD-00602|Exponential Distribution|指数分布||[1]||
AITD-00603|Exponential Linear Unit|指数线性单元|ELU|[1]||
AITD-00604|Exponential Loss|指数损失||[1]||
AITD-00605|Exponential Loss Function|指数损失函数||[1]||
AITD-00606|Exponentially Weighted Moving Average|指数加权移动平均||[1]||
AITD-00607|Exposure Bias|曝光偏差||[1]||
AITD-00608|External Memory|外部记忆||[1]||
AITD-00609|Extreme Learning Machine|超限学习机|ELM|[[1]](https://www.jiqizhixin.com/articles/2016-09-30-3)||
AITD-02215|Eigenfunction|特征函数| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)| |
AITD-02216|Electronegativity|电负性| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02217|Elman|埃尔曼| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)| |
AITD-02218|Empirical Models|经验模型| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)| |
AITD-02219|Energy Derivatives|能源衍生品| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)| 在DP模型中：能量的导数|
AITD-02220|Energy Potentials|能量潜力| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)| |
AITD-02221|Ensemble Methods|集成方法| |[[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)| |
AITD-02222|Entity Normalisation|实体规范化| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00280/978-1-78801-789-3)| |
AITD-02223|Ethical Considerations|道德考虑| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3)| |
AITD-02224|Euclidean Distances|欧几里得距离| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00512/978-1-78801-789-3)| |
AITD-02225|Evolutionary Algorithms|进化算法|EA|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00206/978-1-83916-023-3)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00280/978-1-78801-789-3)| |
AITD-02226|Evolutionary Method|进化方法| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)| |
AITD-02227|Exchange–Correlation|交换关联（的能量/泛函）| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00424/978-1-78801-789-3)| |
AITD-02228|Excited-State Potentials|激发态能量| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)| |
AITD-02229|Expected Reduction In Distortion|符合预期的失真减少|ERD|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00450/978-1-78801-789-3)| |
AITD-02230|Experimental Validation Data|实验验证数据| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)| |
AITD-02231|Expert Systems|专家系统|ESS|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00340/978-1-78801-789-3)| |
AITD-02232|Extended-Connectivity Circular Fingerprint|扩展连接环形指纹|ECFP|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00372/978-1-78801-789-3)| |
AITD-02233|Extraction Techniques|提取技术| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3)| |
