章节正文
| 英文/缩写 | 汉语 | 来源&扩展 |
|---|---|---|
| Saddle point | 鞍点 | [1] |
| Saddle-free Newton method | 无鞍牛顿法 | [1] |
| Sample space | 样本空间 | [1] |
| Sampling | 采样 | [1] |
| Score function | 评分函数 | [1] |
| Second derivative | 二阶导数 | [1] |
| Second-order method | 二阶方法 | [1] |
| Self-contrastive estimation | 自对比估计 | [1] |
| Self-Driving | 自动驾驶 | [1] |
| Self-Organizing Map/SOM | 自组织映射 | [1] |
| Semantic hashing | 语义哈希 | [1] |
| Semantic similarity | 语义相似度 | [1] |
| Semi-Definite Programming | 半正定规划 | [1] |
| Semi-naive Bayes classifiers | 半朴素贝叶斯分类器 | [1] |
| Semi-restricted Boltzmann Machine | 半受限波尔兹曼机 | [1] |
| Semi-Supervised Learning | 半监督学习 | [1] |
| semi-Supervised Support Vector Machine | 半监督支持向量机 | [1] |
| Sentiment analysis | 情感分析 | [1] |
| Separating hyperplane | 分离超平面 | [1] |
| Shannon entropy | 香农熵 | [1] |
| Sigmoid function | Sigmoid 函数 | [1] |
| Similarity measure | 相似度度量 | [1] |
| Simulated annealing | 模拟退火 | [1] |
| Simultaneous localization and mapping/SLAM | 同步定位与地图构建 | [1] |
| Singular value | 奇异值 | [1] |
| Singular Value Decomposition | 奇异值分解 | [1] |
| Slack variables | 松弛变量 | [1] |
| Slowness principle | 慢性原则 | [1] |
| Smoothing | 平滑 | [1] |
| Smoothness prior | 平滑先验 | [1] |
| Soft margin | 软间隔 | [1] |
| Soft margin maximization | 软间隔最大化 | [1] |
| Soft voting | 软投票 | [1] |
| Sparse activation | 稀疏激活 | [1] |
| Sparse coding | 稀疏编码 | [1] |
| Sparse connectivity | 稀疏连接 | [1] |
| Sparse initialization | 稀疏初始化 | [1] |
| Sparse representation | 稀疏表征 | [1] |
| Sparsity | 稀疏性 | [1] |
| Specialization | 特化 | [1] |
| Spectral Clustering | 谱聚类 | [1] |
| Spectral radius | 谱半径 | [1] |
| Speech Recognition | 语音识别 | [1] |
| Spiking Neural Nets | 脉冲神经网络 | [1] |
| Splitting variable | 切分变量 | [1] |
| Squashing function | 挤压函数 | [1] |
| Stability-plasticity dilemma | 可塑性-稳定性困境 | [1] |
| Stacked Deconvolutional Network/SDN | 堆叠解卷积网络 | [1] |
| Standard deviation | 标准差 | [1] |
| Stationary distribution | 稳态分布 | [1] |
| Stationary point | 驻点 | [1] |
| Statistical learning | 统计学习 | [1] |
| Status feature function | 状态特征函数 | [1] |
| Stochastic gradient descent | 随机梯度下降 | [1] |
| Stochastic Matrix | 随机矩阵 | [1] |
| Stochastic maximum likelihood | 随机最大似然 | [1] |
| Stochastic Neighbor Embedding | 随机近邻嵌入 | [1] |
| Stratified sampling | 分层采样 | [1] |
| Structural risk | 结构风险 | [1] |
| Structural risk minimization/SRM | 结构风险最小化 | [1] |
| Structured variational inference | 结构化变分推断 | [1] |
| Subspace | 子空间 | [1] |
| Supervised learning | 监督学习／有导师学习 | [1] |
| support vector expansion | 支持向量展式 | [1] |
| Support Vector Machine/SVM | 支持向量机 | [1] |
| Surrogat loss | 替代损失 | [1] |
| Surrogate function | 替代函数 | [1] |
| Symbolic learning | 符号学习 | [1] |
| Symbolism | 符号主义 | [1] |
| Synset | 同义词集 | [1] |
| Synthetic feature | 合成特征 | [1] |
生词表:
章节正文
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