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