人工智能常用英文缩写 |
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时时刻刻保持一颗不断学习的心,要做一个有心人! 人工智能行业涉及到的英文缩写颇多,现总结如下。会不断保持更新,敬请各位小伙伴们关注~谢谢大家! 前方高能!!!人工智能常用英文缩写
一、科普篇: NLP:Natural Language Processing,自然语言处理; CV:Computer Vision,计算机视觉; BI:Business Intelligence,商业智能; RS:Recommender Systems,推荐系统; DS:Data Science,数据科学; KG:Knowledge Graph,知识图谱; KDD:Knowledge Discovery in Database,知识发现; ICDM:International Conference on Data Mining,国际数据挖掘大会; CVPR:Computer Vision and Pattern Recognition,计算机视觉与模式识别大会; ILSVRC:ImageNet Large Scale Visual Recongition Challenge,大规模图像识别大赛;
二、机器学习篇: TP:True Positive,真正类; FN:False Negative,假反类; FP:False Positive,假正类; TN:True Negative,真反类; AUC:Area Under Curve,曲线下面积; ROC:Receiver Operating Characteristic,受试者工作特征曲线; ROI:Return On Investment,投资回报比;Region Of Interest,感兴趣区域; MAE:Mean Absolute Error,平均绝对误差; MSE:Mean Square Error,均方误差; RMSE:Root Mean Square Error,均方根误差; MLE:Maximum Likelihood Estimation,最大似然估计; MAP:Maximum A Posterior Estimation,最大后验估计; SSR:Sum of Squares for Regression,回归平方和; SSE:Sum of Squares for Error,残差平方和; SST:Sum of Squares for Total,总偏差平方和(SST = SSR + SSE); DT:Decision Tree,决策树; RF:Random Forest,随机森林; CART:Classification And Regression Tree,分类回归树算法; MDL:Minimum Description Length,最小描述长度; REP:Reduced Error Ouring,错误率降低剪枝; RBF:Radial Basis Function,径向基函数; PCA:Principal Component Analysis,主成分分析(一种常用的无监督学习方法,属于降维方法); SVM:Support Vector Machine,支持向量机(一种二分类模型); TF-IDF:Term Frequency-Inverse Document Frequency,词频-逆向文档频率; LFM:Latent Factor Model,隐语义模型; LSA:Latent Semantic Analysis,潜在语义分析(一种无监督学习方法); PLSA:Probabilistic Latent Semantic Analysis,概率潜在语义分析模型(一种无监督学习方法); LDA:Latent Dirichlet Allocation,潜在狄利克雷分配(一种文档主题生成模型),Linear Discriminant Analysis,线性判别分析; QDA:Quadratic Discriminant Analysis,二次判别分析; LE:Laplacian Eigenmaps,拉普拉斯特征映射; LLE:Locally Linear Embedding,局部线性嵌入; VSM:Vector Space Model,向量空间模型; KNN:K-Nearest Neighbor,K最近邻分类算法; ANN:Approximate Nearest Neighbor,近似最近邻算法; MRF:Markov Random Field,马尔可夫随机场; HMM:Hidden Markov Model,隐马尔可夫模型(一种生成模型); EM:Expectation Maximization algorithm,期望极大算法,简称EM算法; GEM:Generalized Expectation Maximization algorithm,广义期望极大算法; SMO:Sequential Minimal Optimization,序列最小最优化算法; CRF:Conditional Random Field,条件随机场;
三、神经网络篇: DNN:Deep Neural Network,深度神经网络; MLP:MultiLayer Perceptron,多层感知机; FNN:Feedforward Neural Network,前馈神经网络; CNN:Convolutional Neural Network,卷积神经网络; RNN:Recurrent Neural Network,循环神经网络; LSTM:Long Short Term Memory,长短期记忆网络; GRU:Gated Recurrent Unit,门控循环单元;
四、推荐系统篇: RS:Recommender Systems,推荐系统; MAB:Multi-Armed Bandit problem,多臂老虎机问题; UCB:Upper Confidence Bound,置信区间上界; MCTS:Monte Carlo Tree Search,蒙特卡洛树搜索; LR:Linear Regression(线性回归,解决监督学习中的回归问题),Logistic Regression(逻辑回归,解决监督学习中的分类问题); GBDT:Gradient Boosting Decision Tree,梯度提升树(回归树); MART:Multiple Additive Regression Tree,多重累计回归树(相当于GBDT); ALS:Alternating Least Squares,交替最小二乘法; BGD:Batch Gradient Descent,批量梯度下降; SGD:Stochastic Gradient Descent,随机梯度下降; MBGD:Mini-Batch Gradient Descent,小批量梯度下降; MCMC:Markov Chain Monte Carlo,马尔可夫链蒙特卡罗法; EVD:Eigen Value Decmoposition,特征值分解; SVD:Singular Value Decomposition,奇异值分解; MF:Matrix Factorization,矩阵分解; NMF:Non-negative Matrix Factorization,非负矩阵分解; FM:Factorization Machine,因子分解机; MAP:Mean Average Precision,平均精确率; CG:Cumulative Gain,累计增益; DCG:Discounted Cumulative Gain,折损累计增益; IDCG:Ideal Discounted Cumulative Gain,理想情况下最大的折损累计增益; NDCG:Normalized Discounted Cumulative Gain,归一化贴现累计收益; MRR:Mean Reciprocal Rank,平均倒数排名;
五、计算机视觉篇: CV:Computer Vision,计算机视觉 SLAM:Simultaneous Localization And Mapping,同时定位与地图构建; SIFT:Scale-Invariant Feature Transform,尺度不变特征变换; HOG:Histogram of Oriented Gradients,方向梯度直方图; SURF:Speeded-Up Robust Features,加速健壮特征; IOU:Intersection Over Union,交并比; CNN:Convolutional Neural Network,卷积神经网络; FCN:Fully Convolutional Network,全卷积网络; GAN:Generative Adversarial Nets,生成式对抗网络; DQN:Deep Q-Network,深度Q网络(基于Q学习的强化学习算法);
六、自然语言处理篇 NLP:Natural Language Processing,自然语言处理; BERT:Bidirectional Encoder Representation from Transformers,双向Transformer的Encoder
七、数据科学篇 DS:Data Science,数据科学; EDA:Exploratory Data Analysis,探索性数据分析; SQL:Structed Query Language,结构化查询语言; ODBC:Open DataBase Connectivity,开放数据库连接; OLDP:On-Line Data Processing,联机数据处理; OLAP:On-Line Analytical Processing,联机分析处理; OLTP:On-Line Transaction Processing,联机事务处理; ETL:Extract Transform Load,数据的抽取、转换、加载(数据仓库技术); DQL:Data Query Language,数据查询语言; DDL:Data Definition Language,数据定义语言; DML:Data Manipulation Language,数据操作语言; TCL:Terminal Control Language,终端控制语言; RDD:Resilient Distributed Datasets,弹性分布式数据集; HDFS:Hadoop Distributed File System,分布式文件系统;
八、商业智能篇 BI:Business Intelligence,商业智能; BA:Business Analysis,商业分析; DSS:Decision Support System,决策支持系统; EIS:Executive Information System,主管信息系统; ERP:Enterprise Resource Planning,企业资源计划; CRM:Customer Relationship Management,客户关系管理; SCM:Supply Chain Management,供应链管理;
九、Linux系统篇 VFS:Virtual File System,虚拟文件系统; OSS:Open Source Software,开源软件;
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