摘要
人工智能术语翻译第六部分,包括U、V、W、X、Y、Z开头的词汇!
U
英文术语 |
中文翻译 |
常用缩写 |
备注 |
Ugly Duckling Theorem |
丑小鸭定理 |
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Unbiased |
无偏 |
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Unbiased Estimate |
无偏估计 |
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Unbiased Sample Variance |
无偏样本方差 |
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Unconstrained Optimization |
无约束优化 |
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Undercomplete |
欠完备 |
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Underdetermined |
欠定的 |
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Underestimation |
欠估计 |
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Underfitting |
欠拟合 |
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机器学习 |
Underfitting Regime |
欠拟合机制 |
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Underflow |
下溢 |
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Underlying |
潜在 |
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Underlying Cause |
潜在成因 |
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Undersampling |
欠采样 |
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Understandability |
可理解性 |
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Undirected |
无向 |
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Undirected Graph |
无向图 |
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Undirected Graphical Model |
无向图模型 |
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Undirected Model |
无向模型 |
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Unequal Cost |
非均等代价 |
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Unfolded Graph |
展开图 |
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Unfolding |
展开 |
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Unidirectional Language Model |
单向语言模型 |
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Unification |
合一 |
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Uniform Distribution |
均匀分布 |
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Uniform Sampling |
均匀采样 |
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Uniform Stability |
均匀稳定性 |
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Unigram |
一元语法 |
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Unimodal |
单峰值 |
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Unit |
单元 |
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Unit Norm |
单位范数 |
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Unit Test |
单元测试 |
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Unit Variance |
单位方差 |
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Unit Vector |
单位向量 |
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Unit-Step Function |
单位阶跃函数 |
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Unitary Matrix |
酉矩阵 |
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Univariate Decision Tree |
单变量决策树 |
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Universal Approximation Theorem |
通用近似定理 |
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Universal Approximator |
通用近似器 |
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Universal Function Approximator |
通用函数近似器 |
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Unknown Token |
未知词元 |
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Unlabeled |
未标记 |
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Unnormalized Probability Function |
未规范化概率函数 |
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Unprojection |
反投影 |
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Unshared Convolution |
非共享卷积 |
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Unsupervised |
无监督 |
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Unsupervised Feature Learning |
无监督特征学习 |
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Unsupervised Layer-Wise Training |
无监督逐层训练 |
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Unsupervised Learning Algorithm |
无监督学习算法 |
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Unsupervised Learning |
无监督学习 |
UL |
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Unsupervised Pretraining |
无监督预训练 |
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Update Gate |
更新门 |
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Update Model Parameter |
迭代模型参数 |
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Upper Confidence Bounds |
上置信界限 |
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Upsampling |
上采样 |
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V
英文术语 |
中文翻译 |
常用缩写 |
备注 |
V-Structure |
V型结构 |
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Valid |
有效 |
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Validation Set |
验证集 |
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Validity Index |
有效性指标 |
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Value Function |
价值函数 |
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Value Function Approximation |
值函数近似 |
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Value Iteration |
值迭代 |
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Vanishing And Exploding Gradient Problem |
梯度消失与爆炸问题 |
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Vanishing Gradient |
梯度消失 |
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Vanishing Gradient Problem |
梯度消失问题 |
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Vapnik-Chervonenkis Dimension |
VC维 |
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Variable Elimination |
变量消去 |
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Variance |
方差 |
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Variance Reduction |
方差减小 |
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Variance Scaling |
方差缩放 |
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Variational Autoencoder |
变分自编码器 |
VAE |
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Variational Bayesian |
变分贝叶斯 |
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Variational Derivative |
变分导数 |
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Variational Distribution |
变分分布 |
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Variational Dropout |
变分暂退法 |
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Variational EM Algorithm |
变分EM算法 |
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Variational Free Energy |
变分自由能 |
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Variational Inference |
变分推断 |
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Vector |
向量 |
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Vector Space |
向量空间 |
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Vector Space Model |
向量空间模型 |
VSM |
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Vectorization |
向量化 |
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Version Space |
版本空间 |
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Virtual Adversarial Example |
虚拟对抗样本 |
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Virtual Adversarial Training |
虚拟对抗训练 |
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Visible Layer |
可见层 |
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Visible Variable |
可见变量 |
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Viterbi Algorithm |
维特比算法 |
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Vocabulary |
词表 |
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Von Neumann Architecture |
冯 · 诺伊曼架构 |
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Voted Perceptron |
投票感知器 |
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Version Control |
版本控制 |
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W
英文术语 |
中文翻译 |
常用缩写 |
备注 |
Wake Sleep |
醒眠 |
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Warp |
线程束 |
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Wasserstein Distance |
Wasserstein距离 |
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Wasserstein GAN |
Wasserstein生成对抗网络 |
WGAN |
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Weak Classifier |
弱分类器 |
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Weak Duality |
弱对偶性 |
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Weak Learner |
弱学习器 |
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Weakly Learnable |
弱可学习 |
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Weakly Supervised Learning |
弱监督学习 |
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Weight |
权重 |
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Weight Decay |
权重衰减 |
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Weight Normalization |
权重规范化 |
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Weight Scaling Inference Rule |
权重比例推断规则 |
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Weight Sharing |
权共享 |
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Weight Space Symmetry |
权重空间对称性 |
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Weight Vector |
权值向量 |
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Weighted Distance |
加权距离 |
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Weighted Voting |
加权投票 |
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Whitening |
白化 |
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Wide Convolution |
宽卷积 |
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Width |
宽度 |
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Winner-Take-All |
胜者通吃 |
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Within-Class Scatter Matrix |
类内散度矩阵 |
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Word Embedding |
词嵌入 |
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Word Sense Disambiguation |
词义消歧 |
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Word Vector |
词向量 |
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Word Vector Space Model |
单词向量空间模型 |
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Word-Document Matrix |
单词-文本矩阵 |
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Word-Topic Matrix |
单词-话题矩阵 |
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Working Memory |
工作记忆 |
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Wrapper Method |
包裹式方法 |
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Workflow |
工作流 |
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X
Y
Z
英文术语 |
中文翻译 |
常用缩写 |
备注 |
Z-Score Normalization |
Z值规范化 |
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Zero Mean |
零均值 |
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Zero Padding |
零填充 |
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Zero Tensor |
零张量 |
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Zero-Centered |
零中心化的 |
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Zero-Data Learning |
零数据学习 |
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Zero-Shot Learning |
零试学习 |
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Zipf’s Law |
齐普夫定律 |
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