# Letter T
[*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-01873|T-Distribution Stochastic Neighbour Embedding|T分布随机近邻嵌入|T-SNE|[1]||
AITD-01874|Tabular Value Function|表格值函数||[1]||
AITD-01875|Tagging|标注||[1]||
AITD-01876|Tangent Distance|切面距离||[1]||
AITD-01877|Tangent Plane|切平面||[1]||
AITD-01878|Tangent Propagation|正切传播||[1]||
AITD-01879|Target|目标||[1]||
AITD-01880|Target Domain|目标领域||[1]||
AITD-01881|Taylor|泰勒||[1]||
AITD-01882|Taylor's Formula|泰勒公式||[1]||
AITD-01883|Teacher Forcing|强制教学||[1]||
AITD-01884|Teacher Network|教师网络||[1]||
AITD-01885|Temperature|温度||[1]||
AITD-01886|Tempered Transition|回火转移||[1]||
AITD-01887|Tempering|回火||[1]||
AITD-01888|Temporal-Difference Learning|时序差分学习||[1]||
AITD-01889|Tensor|张量||[1]||
AITD-01890|Tensor Processing Units|张量处理单元|TPU|[[1]](https://www.jiqizhixin.com/articles/2018-01-05-3)||
AITD-01891|Term Frequency-Inverse Document Frequency|单词频率-逆文本频率|TF-IDF|[1]||
AITD-01892|Terminal State|终止状态||[1]||
AITD-01893|Test Data|测试数据||[1]||
AITD-01894|Test Error|测试误差||[1]||
AITD-01895|Test Sample|测试样本||[1]||
AITD-01896|Test Set|测试集||[[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)[[3]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)|机器学习|
AITD-01897|The Collider Case|碰撞情况||[1]||
AITD-01898|Threshold|阈值||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)|数学|
AITD-01899|Threshold Logic Unit|阈值逻辑单元||[1]||
AITD-01900|Threshold-Moving|阈值移动||[1]||
AITD-01901|Tied Weight|捆绑权重||[1]||
AITD-01902|Tikhonov Regularization|Tikhonov正则化||[1]||
AITD-01903|Tiled Convolution|平铺卷积||[1]||
AITD-01904|Time Delay Neural Network|时延神经网络|TDNN|[1]||
AITD-01905|Time Homogenous Markov Chain|时间齐次马尔可夫链||[1]||
AITD-01906|Time Step|时间步||[1]||
AITD-01907|Toeplitz Matrix|Toeplitz矩阵||[1]||
AITD-01908|Token|词元||[1]||
AITD-01909|Tokenize|词元化||[1]||
AITD-01910|Tokenization|词元化||[1]||
AITD-01911|Tokenizer|词元分析器||[1]||
AITD-01912|Tolerance|容差||[1]||
AITD-01913|Top-Down|自顶向下| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-01914|Topic|话题||[1]||
AITD-01915|Topic Model|话题模型||[1]||
AITD-01916|Topic Modeling|话题分析||[1]||
AITD-01917|Topic Vector Space|话题向量空间||[1]||
AITD-01918|Topic Vector Space Model|话题向量空间模型||[1]||
AITD-01919|Topic-Document Matrix|话题-文本矩阵||[1]||
AITD-01920|Topographic ICA|地质ICA||[1]||
AITD-01921|Total Cost|总体代价||[1]||
AITD-01922|Trace|迹||[1]||
AITD-01923|Tractable|易处理的||[1]||
AITD-01924|Training|训练||[1]||
AITD-01925|Training Data|训练数据||[1]||
AITD-01926|Training Error|训练误差||[1]||
AITD-01927|Training Instance|训练实例||[1]||
AITD-01928|Training Sample|训练样本||[[1]](https://www.nature.com/articles/s41557-021-00716-z)|机器学习|
AITD-01929|Training Set|训练集||[[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)|机器学习|
AITD-01930|Trajectory|轨迹| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)| |
AITD-01931|Transcribe|转录||[1]||
AITD-01932|Transcription System|转录系统||[1]||
AITD-01933|Transductive Learning|直推学习||[1]||
AITD-01934|Transductive Transfer Learning|直推迁移学习||[1]||
AITD-01935|Transfer Learning|迁移学习||[[1]](https://www.jiqizhixin.com/articles/2018-01-04-7)[[2]](https://www.nature.com/articles/s41557-021-00716-z)[[3]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3)[[4]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00280/978-1-78801-789-3)||
AITD-01936|Transform|变换||[1]||
AITD-01937|Transformer|Transformer||[1]||
AITD-01938|Transformer Model|Transformer模型||[1]||
AITD-01939|Transition|转移||[1]||
AITD-01940|Transition Kernel|转移核||[1]||
AITD-01941|Transition Matrix|状态转移矩阵||[1]||
AITD-01942|Transition Probability|转移概率||[1]||
AITD-01943|Transpose|转置||[1]||
AITD-01944|Transposed Convolution|转置卷积||[1]||
AITD-01945|Tree-Structured LSTM|树结构的长短期记忆模型||[1]||
AITD-01946|Treebank|树库||[1]||
AITD-01947|Trial|试验||[1]||
AITD-01948|Trial And Error|试错||[1]||
AITD-01949|Triangle Inequality|三角不等式||[1]||
AITD-01950|Triangular Cyclic Learning Rate|三角循环学习率||[1]||
AITD-01951|Triangulate|三角形化||[1]||
AITD-01952|Triangulated Graph|三角形化图||[1]||
AITD-01953|Trigram|三元语法||[1]||
AITD-01954|True Negative|真负例|TN|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)|统计|
AITD-01955|True Positive|真正例|TP|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)|统计|
AITD-01956|True Positive Rate|真正例率|TPR|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)|统计|
AITD-01957|Truncated Singular Value Decomposition|截断奇异值分解||[1]||
AITD-01958|Truncation Error|截断误差||[1]||
AITD-01959|Turing Completeness|图灵完备||[1]||
AITD-01960|Turing Machine|图灵机||[[1]](https://www.jiqizhixin.com/articles/2017-04-11-7)||
AITD-01961|Twice-Learning|二次学习||[1]||
AITD-01962|Two-Dimensional Array|二维数组||[1]||
AITD-02438|The Global Minimum|全局最小值||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)|机器学习|
AITD-02439|Turing Test|图灵测试||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00001/978-1-78801-789-3)|AI，CS|
