# Letter I
[*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-00840|I.I.D. Assumption|独立同分布假设||[1]||
AITD-00841|Identically Distributed|同分布的||[1]||
AITD-00842|Identifiable|可辨认的||[1]||
AITD-00843|Identity Function|恒等函数||[1]||
AITD-00844|Identity Mapping|恒等映射||[1]||
AITD-00845|Identity Matrix|单位矩阵||[1]||
AITD-00846|Ill Conditioning|病态||[1]||
AITD-00847|Ill-Formed Problem|病态问题||[1]||
AITD-00848|Image|图像||[1]||
AITD-00849|Image Restoration|图像还原||[1]||
AITD-00850|Imitation Learning|模仿学习||[1]||
AITD-00851|Immorality|不道德||[1]||
AITD-00852|Imperfect Information|不完美信息||[[1]](https://www.jiqizhixin.com/articles/2017-11-16-4)||
AITD-00853|Implicit Density Model|隐式密度模型||[1]||
AITD-00854|Import|导入||[1]||
AITD-00855|Importance Sampling|重要性采样||[1]||
AITD-00856|Improved Iterative Scaling|改进的迭代尺度法|IIS|[1]||
AITD-00857|Incomplete-Data|不完全数据||[1]||
AITD-00858|Incremental Learning|增量学习||[1]||
AITD-00859|Indefinite Integral|不定积分||[1]||
AITD-00860|Independence|独立||[1]||
AITD-00861|Independent|相互独立的||[1]||
AITD-00862|Independent and Identically Distributed|独立同分布|I.I.D.|[1]||
AITD-00863|Independent Component Analysis|独立成分分析|ICA|[1]||
AITD-00864|Independent Subspace Analysis|独立子空间分析||[1]||
AITD-00865|Index of Matrix|索引||[1]||
AITD-00866|Indicator Function|指示函数||[1]||
AITD-00867|Individual Learner|个体学习器||[1]||
AITD-00868|Induction|归纳||[1]||
AITD-00869|Inductive Bias|归纳偏好||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00372/978-1-78801-789-3)||
AITD-00870|Inductive Learning|归纳学习||[1]||
AITD-00871|Inductive Logic Programming|归纳逻辑程序设计|ILP|[1]||
AITD-00872|Inductive Transfer Learning|归纳迁移学习||[1]||
AITD-00873|Inequality Constraint|不等式约束||[1]||
AITD-00874|Inference|推断||[[1]](https://www.jiqizhixin.com/articles/2017-12-14-6)||
AITD-00875|Infinite|无限||[1]||
AITD-00876|Infinitely Exchangeable|无限可交换||[1]||
AITD-00877|Information Divergence|信息散度||[1]||
AITD-00878|Information Entropy|信息熵||[1]||
AITD-00879|Information Gain|信息增益||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)|统计|
AITD-00880|Information Gain Ratio|信息增益比| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)|统计|
AITD-00881|Information Retrieval|信息检索||[1]||
AITD-00882|Information Theory|信息论||[1]||
AITD-00883|Inner Product|内积||[1]||
AITD-00884|Input|输入||[1]||
AITD-00885|Input Distribution|输入分布||[1]||
AITD-00886|Input Gate|输入门||[1]||
AITD-00887|Input Layer|输入层||[1]||
AITD-00888|Input Space|输入空间||[1]||
AITD-00889|Insensitive Loss|不敏感损失||[1]||
AITD-00890|Instance|示例||[1]||
AITD-00891|Instance Segmentation|实例分割||[1]||
AITD-00892|Integer Linear Programming|整数线性规划|ILP|[1]||
AITD-00893|Integer Programming|整数规划||[1]||
AITD-00894|Integration|积分||[1]||
AITD-00895|Inter-Cluster Similarity|簇间相似度||[1]||
AITD-00896|Internal Covariate Shift|内部协变量偏移||[1]||
AITD-00897|Internal Node|内部结点||[1]||
AITD-00898|International Conference For Machine Learning|国际机器学习大会|ICML|[[1]](https://www.jiqizhixin.com/articles/2017-12-31)||
AITD-00899|Intervention Query|干预查询||[1]||
AITD-00900|Intra-Attention|内部注意力||[1]||
AITD-00901|Intra-Cluster Similarity|簇内相似度||[1]||
AITD-00902|Intrinsic Value|固有值||[1]||
AITD-00903|Invariance|不变性||[[1]](https://www.jiqizhixin.com/articles/2017-12-16-3)||
AITD-00904|Invariant|不变||[1]||
AITD-00905|Inverse Matrix|逆矩阵||[1]||
AITD-00906|Inverse Reinforcement Learning|逆强化学习|IRL|[1]||
AITD-00907|Inverse Resolution|逆归结||[1]||
AITD-00908|Inverse Time Decay|逆时衰减||[1]||
AITD-00909|Invert|求逆||[1]||
AITD-00910|Irreducible|不可约的||[1]||
AITD-00911|Irrelevant Feature|无关特征||[1]||
AITD-00912|Isometric Mapping|等度量映射|Isomap|[1]||
AITD-00913|Isotonic Regression|等分回归||[1]||
AITD-00914|Isotropic|各向同性||[1]||
AITD-00915|Isotropic Gaussian Distribution|各向同性高斯分布||[1]||
AITD-00916|Iteration|迭代| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)|数学、机器学习|
AITD-00917|Iterative Dichotomiser|迭代二分器||[1]||
AITD-02301|Id3 Algorithm|Id3 算法| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)| |
AITD-02302|Image And Speech Recognition|图像和语音识别| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00450/978-1-78801-789-3)| |
AITD-02303|Image Classification|图像分类| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)| |
AITD-02304|Image Classifier|图像分类器| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00450/978-1-78801-789-3)| |
AITD-02305|Image Recognition|图像识别| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3)|机器学习|
AITD-02306|Informative Priors|信息先验| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00195/978-1-83916-023-3)| |
AITD-02307|Input-Output Pairs|输入输出对| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00169/978-1-78801-789-3)| |
AITD-02308|Instance-Based|基于实例的| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02309|Intelligent Machine|智能机器| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00001/978-1-78801-789-3)| |
AITD-02310|Intermediate Neurons|中间神经元| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)|机器学习|
AITD-02311|Internet Of Things|物联网|IoT|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00340/978-1-78801-789-3)| |
AITD-02312|Interpolation Coordinate|插值坐标| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)| |
AITD-02313|Interpretability|可解释性| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3)| |
AITD-02314|Inverse Neural Modeling|逆神经建模|INN|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)| |
AITD-02315|Inverse Neural Network Modeling|逆神经网络建模| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)| |
AITD-02316|Iterative Learning|迭代学习| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00001/978-1-78801-789-3)| |
