| 索引编号 | 英文术语 | 中文翻译 | 常用缩写 | 来源&扩展 | 备注 |
|---|---|---|---|---|---|
| AITD-00001 | Absolute Loss Function | 绝对损失函数 | [1] | ||
| AITD-00002 | Absolute Value Rectification | 绝对值整流 | [1] | ||
| AITD-00003 | Accept-Reject Sampling Method | 接受-拒绝抽样法/接受-拒绝采样法 | [1] | ||
| AITD-00004 | Acceptance Distribution | 接受分布 | [1] | ||
| AITD-00005 | Access Parameters | 访问参数 | [1] | ||
| AITD-00006 | Accumulated Error Backpropagation | 累积误差反向传播 | [1] | ||
| AITD-00007 | Accuracy | 准确率 | [1] | ||
| AITD-00008 | Acoustic | 声学 | [1] | ||
| AITD-00009 | Acoustic Modeling | 声学建模 | [1] | ||
| AITD-00010 | Acquisition Function | 采集函数 | [1] | ||
| AITD-00011 | Action | 动作 | [1] | ||
| AITD-00012 | Action Value Function | 动作价值函数 | [1] | ||
| AITD-00013 | Actionism | 行为主义 | [1] | ||
| AITD-00014 | Activation | 活性值 | [1] | ||
| AITD-00015 | Activation Function | 激活函数 | [1][2][3][4] | 机器学习 | |
| AITD-00016 | Active Learning | 主动学习 | [1] | 机器学习 | |
| AITD-00017 | Actor | 演员 | [1] | ||
| AITD-00018 | Actor-Critic Algorithm | 演员-评论员算法 | [1] | ||
| AITD-00019 | Actor-Critic Method | 演员-评论员法 | [1] | ||
| AITD-00020 | Adaptive Bitrate Algorithm | 自适应比特率算法 | ABR | [1] | |
| AITD-00021 | Adaptive Boosting | AdaBoost | [1] | ||
| AITD-00022 | Adaptive Gradient Algorithm | AdaGrad | [1] | ||
| AITD-00023 | Adaptive Moment Estimation Algorithm | Adam算法 | Adam | [1] | |
| AITD-00024 | Adaptive Resonance Theory | 自适应谐振理论 | ART | [1] | |
| AITD-00025 | Additive Model | 加性模型 | [1] | ||
| AITD-00026 | Adversarial | 对抗 | [1] | ||
| AITD-00027 | Adversarial Example | 对抗样本 | [1] | ||
| AITD-00028 | Adversarial Networks | 对抗网络 | [1] | ||
| AITD-00029 | Adversarial Training | 对抗训练 | [1] | ||
| AITD-00030 | Affine Layer | 仿射层 | [1] | ||
| AITD-00031 | Affine Transformation | 仿射变换 | [1] | ||
| AITD-00032 | Affinity Matrix | 亲和矩阵 | [1] | ||
| AITD-00033 | Agent | 智能体 | [1][2][3][4] | ||
| AITD-00034 | Agglomerative | 聚合 | [1] | ||
| AITD-00035 | Agnostic PAC Learnable | 不可知PAC可学习 | [1] | ||
| AITD-00036 | Algorithm | 算法 | [1][2][3] | ||
| AITD-00037 | Almost Everywhere | 几乎处处 | [1] | ||
| AITD-00038 | Almost Sure | 几乎必然 | [1] | ||
| AITD-00039 | Almost Sure Convergence | 几乎必然收敛 | [1] | ||
| AITD-00040 | Alpha-Beta Pruning | α-β修剪法 | [1] | ||
| AITD-00041 | Alternative Splicing Dataset | 选择性剪接数据集 | [1] | ||
| AITD-00042 | Ambiguity | 分歧 | [1] | ||
| AITD-00043 | Analytic Gradient | 解析梯度 | [1] | ||
| AITD-00044 | Ancestral Sampling | 原始采样 | [1] | ||
| AITD-00045 | Annealed Importance Sampling | 退火重要采样 | [1] | ||
| AITD-00046 | Anomaly Detection | 异常检测 | [1] | ||
| AITD-00047 | Aperiodic | 非周期的 | [1] | ||
| AITD-00048 | Aperiodic Graph | 非周期性图 | [1] | ||
| AITD-00049 | Application-Specific Integrated Circuit | 专用集成电路 | [1] | ||
| AITD-00050 | Approximate Bayesian Computation | 近似贝叶斯计算 | [1] | ||
| AITD-00051 | Approximate Dynamic Programming | 近似动态规划 | [1] | ||
| AITD-00052 | Approximate Inference | 近似推断 | [1] | ||
| AITD-00053 | Approximation | 近似 | [1] | ||
| AITD-00054 | Approximation Error | 近似误差 | [1] | ||
| AITD-00055 | Architecture | 架构 | [1] | ||
| AITD-00056 | Area Under ROC Curve | AUC（ROC曲线下方面积，度量分类模型好坏的标准） | AUC | [1] | 机器学习 |
| AITD-00057 | Arithmetic Coding | 算术编码 | [1] | ||
| AITD-00058 | Artificial General Intelligence | 通用人工智能 | AGI | [1] | |
| AITD-00059 | Artificial Intelligence | 人工智能 | AI | [1][2][3][4][5] | 机器学习 |
| AITD-00060 | Artificial Neural Network | 人工神经网络 | ANN | [1][2] | 机器学习 |
| AITD-00061 | Artificial Neuron | 人工神经元 | [1] | ||
| AITD-00062 | Association Analysis | 关联分析 | [1] | ||
| AITD-00063 | Associative Memory | 联想记忆 | [1] | ||
| AITD-00064 | Associative Memory Model | 联想记忆模型 | [1] | ||
| AITD-00065 | Asymptotically Unbiased | 渐近无偏 | [1] | ||
| AITD-00066 | Asynchronous Stochastic Gradient Descent | 异步随机梯度下降 | [1] | ||
| AITD-00067 | Asynchronous | 异步 | [1] | ||
| AITD-00068 | Atrous Convolution | 空洞卷积 | [1] | ||
| AITD-00069 | Attention | 注意力 | [1][2] | 机器学习 | |
| AITD-00070 | Attention Cue | 注意力提示 | [1] | ||
| AITD-00071 | Attention Distribution | 注意力分布 | [1] | ||
| AITD-00072 | Attention Mechanism | 注意力机制 | [1][2][3] | ||
| AITD-00073 | Attention Model | 注意力模型 | [1] | ||
| AITD-00074 | Attractor | 吸引点 | [1] | ||
| AITD-00075 | Attribute | 属性 | [1] | ||
| AITD-00076 | Attribute Conditional Independence Assumption | 属性条件独立性假设 | [1] | ||
| AITD-00077 | Attribute Space | 属性空间 | [1] | ||
| AITD-00078 | Attribute Value | 属性值 | [1] | ||
| AITD-00079 | Augmented Lagrangian | 增广拉格朗日法 | [1] | ||
| AITD-00080 | Auto-Regressive Network | 自回归网络 | [1] | ||
| AITD-00081 | Autoencoder | 自编码器 | AE | [1] | |
| AITD-00082 | Automatic Differentiation | 自动微分 | AD | [1] | |
| AITD-00083 | Automatic Speech Recognition | 自动语音识别 | ASR | [1] | |
| AITD-00084 | Automatic Summarization | 自动摘要 | [1] | ||
| AITD-00085 | Autoregressive Generative Model | 自回归生成模型 | [1] | ||
| AITD-00086 | Autoregressive Model | 自回归模型 | AR | [1] | |
| AITD-00087 | Autoregressive Process | 自回归过程 | [1] | ||
| AITD-00088 | Average Gradient | 平均梯度 | [1] | ||
| AITD-00089 | Average Pooling Layer | 平均汇聚层 | [1] | ||
| AITD-00090 | Average-Pooling | 平均汇聚 | [1] | ||
| AITD-00091 | Averaged Perceptron | 平均感知器 | [1] | ||
| AITD-02099 | Aberration-Corrected | 像差矫正 | [1] | 物理 | |
| AITD-02100 | Active Machine Learning | 主动机器学习 | [1] | 机器学习 | |
| AITD-02101 | Adaptive Fuzzy Neural Network | 自适应模糊神经网络 | [1] | 机器学习 | |
| AITD-02102 | Adaptive Sampling | 自适应采样 | [1] | 机器学习 | |
| AITD-02103 | Admet Evaluation | 毒性评估 | [1] | 化学 | |
| AITD-02104 | Alexnet | AlexNet | [1] | 机器学习 | |
| AITD-02105 | Alphago | 阿尔法狗 | [1][2] | 机器学习 | |
| AITD-02106 | Adaptive Neuro Fuzzy Inference System | 自适应神经模糊推理系统 | ANFIS | [1] | 机器学习 |
| AITD-02107 | Approximate Probabilistic Models | 近似概率模型 | [1] | 机器学习 | |
| AITD-02108 | Artificial Neurons | 人工神经元 | [1] | 机器学习 | |
| AITD-02109 | Artificial Synapses | 人工突触 | [1] | 机器学习 | |
| AITD-02110 | Attention-Based | 基于注意力（机制）的 | [1] | 机器学习 | |
| AITD-02111 | Automating Synthetic Planning | 自动化综合规划 | [1] | 机器学习 | |
| AITD-02112 | Automation | 自动化 | [1] | 机器学习 | |
| AITD-02113 | Autonomous Decision-Making | 自主决策 | [1] | 机器学习 |