AITD-01633 |
S-Fold Cross Validation |
S 折交叉验证 |
|
[1] |
|
AITD-01634 |
Saccade |
扫视 |
|
[1] |
|
AITD-01635 |
Saddle Point |
鞍点 |
|
[1] |
|
AITD-01636 |
Saddle-Free Newton Method |
无鞍牛顿法 |
|
[1] |
|
AITD-01637 |
Saliency Map |
显著图 |
|
[1] |
|
AITD-01638 |
Saliency-Based Attention |
基于显著性的注意力 |
|
[1] |
|
AITD-01639 |
Same |
相同 |
|
[1] |
|
AITD-01640 |
Sample |
样本 |
|
[1] |
|
AITD-01641 |
Sample Complexity |
样本复杂度 |
|
[1] |
|
AITD-01642 |
Sample Mean |
样本均值 |
|
[1] |
|
AITD-01643 |
Sample Space |
样本空间 |
|
[1] |
|
AITD-01644 |
Sample Variance |
样本方差 |
|
[1] |
|
AITD-01645 |
Sampling |
采样 |
|
[1] |
|
AITD-01646 |
Sampling Method |
采样法 |
|
[1] |
|
AITD-01647 |
Saturate |
饱和 |
|
[1] |
|
AITD-01648 |
Saturating Function |
饱和函数 |
|
[1] |
|
AITD-01649 |
Scalar |
标量 |
|
[1] |
|
AITD-01650 |
Scale Invariance |
尺度不变性 |
|
[1] |
|
AITD-01651 |
Scatter Matrix |
散布矩阵 |
|
[1] |
|
AITD-01652 |
Scheduled Sampling |
计划采样 |
|
[1] |
|
AITD-01653 |
Score |
得分 |
|
[1] |
|
AITD-01654 |
Score Function |
评分函数 |
|
[1] |
|
AITD-01655 |
Score Matching |
分数匹配 |
|
[1] |
|
AITD-01656 |
Second Derivative |
二阶导数 |
|
[1] |
|
AITD-01657 |
Second Derivative Test |
二阶导数测试 |
|
[1] |
|
AITD-01658 |
Second Layer |
第二层 |
|
[1] |
|
AITD-01659 |
Second-Order Method |
二阶方法 |
|
[1] |
|
AITD-01660 |
Selective Attention |
选择性注意力 |
|
[1] |
|
AITD-01661 |
Selective Ensemble |
选择性集成 |
|
[1] |
|
AITD-01662 |
Self Information |
自信息 |
|
[1] |
|
AITD-01663 |
Self-Attention |
自注意力 |
|
[1] |
|
AITD-01664 |
Self-Attention Model |
自注意力模型 |
|
[1] |
|
AITD-01665 |
Self-Contrastive Estimation |
自对比估计 |
|
[1] |
|
AITD-01666 |
Self-Driving |
自动驾驶 |
|
[1][2][3] |
|
AITD-01667 |
Self-Gated |
自门控 |
|
[1] |
|
AITD-01668 |
Self-Organizing Map |
自组织映射网 |
SOM |
[1] |
|
AITD-01669 |
Self-Taught Learning |
自学习 |
|
[1] |
|
AITD-01670 |
Self-Training |
自训练 |
|
[1] |
|
AITD-01671 |
Semantic Gap |
语义鸿沟 |
|
[1] |
|
AITD-01672 |
Semantic Hashing |
语义哈希 |
|
[1] |
|
AITD-01673 |
Semantic Segmentation |
语义分割 |
|
[1] |
|
AITD-01674 |
Semantic Similarity |
语义相似度 |
|
[1] |
|
AITD-01675 |
Semi-Definite Programming |
半正定规划 |
|
[1] |
|
AITD-01676 |
Semi-Naive Bayes Classifiers |
半朴素贝叶斯分类器 |
|
[1] |
|
AITD-01677 |
Semi-Restricted Boltzmann Machine |
半受限玻尔兹曼机 |
|
[1] |
|
AITD-01678 |
Semi-Supervised |
半监督 |
|
[1] |
|
AITD-01679 |
Semi-Supervised Clustering |
半监督聚类 |
|
[1] |
|
AITD-01680 |
Semi-Supervised Learning |
半监督学习 |
|
[1][2][3] |
|
AITD-01681 |
Semi-Supervised Support Vector Machine |
半监督支持向量机 |
S3VM |
[1] |
|
AITD-01682 |
Sentiment Analysis |
情感分析 |
|
[1] |
|
AITD-01683 |
Separable |
可分离的 |
|
[1] |
|
AITD-01684 |
Separate |
分离的 |
|
[1] |
|
AITD-01685 |
Separating Hyperplane |
分离超平面 |
|
[1] |
|
AITD-01686 |
Separation |
分离 |
|
[1] |
|
AITD-01687 |
Sequence Labeling |
序列标注 |
|
[1] |
|
AITD-01688 |
Sequence To Sequence Learning |
序列到序列学习 |
Seq2Seq |
[1] |
|
AITD-01689 |
Sequence-To-Sequence |
序列到序列 |
Seq2Seq |
[1] |
|
AITD-01690 |
Sequential Covering |
序贯覆盖 |
|
[1] |
|
AITD-01691 |
Sequential Minimal Optimization |
序列最小最优化 |
SMO |
[1] |
|
AITD-01692 |
Sequential Model-Based Optimization |
时序模型优化 |
SMBO |
[1] |
|
AITD-01693 |
Sequential Partitioning |
顺序分区 |
|
[1] |
|
AITD-01694 |
Setting |
情景 |
|
[1] |
|
AITD-01695 |
Shadow Circuit |
浅度回路 |
|
[1] |
|
AITD-01696 |
Shallow Learning |
浅层学习 |
|
[1] |
|
AITD-01697 |
Shannon Entropy |
香农熵 |
|
[1] |
|
AITD-01698 |
Shannons |
香农 |
|
[1] |
|
AITD-01699 |
Shaping |
塑造 |
|
[1] |
|
AITD-01700 |
Sharp Minima |
尖锐最小值 |
|
[1] |
|
AITD-01701 |
Shattering |
打散 |
|
[1] |
|
AITD-01702 |
Shift Invariance |
平移不变性 |
|
[1] |
|
AITD-01703 |
Short-Term Memory |
短期记忆 |
|
[1] |
|
AITD-01704 |
Shortcut Connection |
直连边 |
|
[1] |
|
AITD-01705 |
Shortlist |
短列表 |
|
[1] |
|
AITD-01706 |
Siamese Network |
孪生网络 |
|
[1] |
|
AITD-01707 |
Sigmoid |
Sigmoid(一种激活函数) |
|
[1] |
统计 |
AITD-01708 |
Sigmoid Belief Network |
Sigmoid信念网络 |
SBN |
[1] |
|
AITD-01709 |
Sigmoid Curve |
S 形曲线 |
|
[1] |
|
AITD-01710 |
Sigmoid Function |
Sigmoid函数 |
|
[1] |
|
AITD-01711 |
Sign Function |
符号函数 |
|
[1] |
|
AITD-01712 |
Signed Distance |
带符号距离 |
|
[1] |
|
AITD-01713 |
Similarity |
相似度 |
|
[1] |
|
AITD-01714 |
Similarity Measure |
相似度度量 |
|
[1] |
|
AITD-01715 |
Simple Cell |
简单细胞 |
|
[1] |
|
AITD-01716 |
Simple Recurrent Network |
简单循环网络 |
SRN |
[1] |
|
AITD-01717 |
Simple Recurrent Neural Network |
简单循环神经网络 |
S-RNN |
[1] |
|
AITD-01718 |
Simplex |
单纯形 |
|
[1] |
|
AITD-01719 |
Simulated Annealing |
模拟退火 |
|
[1] |
统计、机器学习 |
AITD-01720 |
Simultaneous Localization And Mapping |
即时定位与地图构建 |
SLAM |
[1] |
|
AITD-01721 |
Single Component Metropolis-Hastings |
单分量Metropolis-Hastings |
|
[1] |
|
AITD-01722 |
Single Linkage |
单连接 |
|
[1] |
|
AITD-01723 |
Singular |
奇异的 |
|
[1] |
|
AITD-01724 |
Singular Value |
奇异值 |
|
[1] |
|
AITD-01725 |
Singular Value Decomposition |
奇异值分解 |
SVD |
[1] |
|
AITD-01726 |
Singular Vector |
奇异向量 |
|
[1] |
|
AITD-01727 |
Size |
大小 |
|
[1] |
|
AITD-01728 |
Skip Connection |
跳跃连接 |
|
[1] |
|
AITD-01729 |
Skip-Gram Model |
跳元模型 |
|
[1] |
|
AITD-01730 |
Skip-Gram Model With Negative Sampling |
跳元模型加负采样 |
|
[1] |
|
AITD-01731 |
Slack Variable |
松弛变量 |
|
[1] |
|
AITD-01732 |
Slow Feature Analysis |
慢特征分析 |
|
[1] |
|
AITD-01733 |
Slowness Principle |
慢性原则 |
|
[1] |
|
AITD-01734 |
Smoothing |
平滑 |
|
[1] |
|
AITD-01735 |
Smoothness Prior |
平滑先验 |
|
[1] |
|
AITD-01736 |
Soft Attention Mechanism |
软性注意力机制 |
|
[1] |
|
AITD-01737 |
Soft Clustering |
软聚类 |
|
[1] |
|
AITD-01738 |
Soft Margin |
软间隔 |
|
[1] |
|
AITD-01739 |
Soft Margin Maximization |
软间隔最大化 |
|
[1] |
|
AITD-01740 |
Soft Target |
软目标 |
|
[1] |
|
AITD-01741 |
Soft Voting |
软投票 |
|
[1] |
|
AITD-01742 |
Softmax |
Softmax/软最大化 |
|
[1] |
|
AITD-01743 |
Softmax Function |
Softmax函数/软最大化函数 |
|
[1] |
统计、机器学习 |
AITD-01744 |
Softmax Regression |
Softmax回归/软最大化回归 |
|
[1] |
|
AITD-01745 |
Softmax Unit |
Softmax单元/软最大化单元 |
|
[1] |
|
AITD-01746 |
Softplus |
Softplus |
|
[1] |
|
AITD-01747 |
Softplus Function |
Softplus函数 |
|
[1] |
|
AITD-01748 |
Source Domain |
源领域 |
|
[1] |
|
AITD-01749 |
Span |
张成子空间 |
|
[1] |
|
AITD-01750 |
Sparse |
稀疏 |
|
[1] |
|
AITD-01751 |
Sparse Activation |
稀疏激活 |
|
[1] |
|
AITD-01752 |
Sparse Auto-Encoder |
稀疏自编码器 |
|
[1] |
|
AITD-01753 |
Sparse Coding |
稀疏编码 |
|
[1] |
|
AITD-01754 |
Sparse Connectivity |
稀疏连接 |
|
[1] |
|
AITD-01755 |
Sparse Initialization |
稀疏初始化 |
|
[1] |
|
AITD-01756 |
Sparse Interactions |
稀疏交互 |
|
[1] |
|
AITD-01757 |
Sparse Representation |
稀疏表示 |
|
[1] |
|
AITD-01758 |
Sparse Weights |
稀疏权重 |
|
[1] |
|
AITD-01759 |
Sparsity |
稀疏性 |
|
[1] |
|
AITD-01760 |
Specialization |
特化 |
|
[1] |
|
AITD-01761 |
Spectral Clustering |
谱聚类 |
|
[1] |
|
AITD-01762 |
Spectral Radius |
谱半径 |
|
[1] |
|
AITD-01763 |
Speech Recognition |
语音识别 |
|
[1][2][3][4][5][6] |
|
AITD-01764 |
Sphering |
Sphering |
|
[1] |
|
AITD-01765 |
Spike And Slab |
尖峰和平板 |
|
[1] |
|
AITD-01766 |
Spike And Slab RBM |
尖峰和平板RBM |
|
[1] |
|
AITD-01767 |
Spiking Neural Nets |
脉冲神经网络 |
|
[1] |
|
AITD-01768 |
Splitting Point |
切分点 |
|
[1] |
|
AITD-01769 |
Splitting Variable |
切分变量 |
|
[1] |
|
AITD-01770 |
Spurious Modes |
虚假模态 |
|
[1] |
|
AITD-01771 |
Square |
方阵 |
|
[1] |
|
AITD-01772 |
Square Loss |
平方损失 |
|
[1] |
|
AITD-01773 |
Squared Euclidean Distance |
欧氏距离平方 |
|
[1] |
|
AITD-01774 |
Squared Exponential |
平方指数 |
|
[1] |
|
AITD-01775 |
Squashing Function |
挤压函数 |
|
[1] |
|
AITD-01776 |
Stability |
稳定性 |
|
[1] |
|
AITD-01777 |
Stability-Plasticity Dilemma |
可塑性-稳定性窘境 |
|
[1] |
|
AITD-01778 |
Stable Base Learner |
稳定基学习器 |
|
[1] |
|
AITD-01779 |
Stacked Auto-Encoder |
堆叠自编码器 |
SAE |
[1] |
|
AITD-01780 |
Stacked Deconvolutional Network |
堆叠解卷积网络 |
SDN |
[1] |
|
AITD-01781 |
Stacked Recurrent Neural Network |
堆叠循环神经网络 |
SRNN |
[1] |
|
AITD-01782 |
Standard Basis |
标准基 |
|
[1] |
|
AITD-01783 |
Standard Deviation |
标准差 |
|
[1] |
|
AITD-01784 |
Standard Error |
标准差 |
|
[1] |
|
AITD-01785 |
Standard Normal Distribution |
标准正态分布 |
|
[1] |
|
AITD-01786 |
Standardization |
标准化 |
|
[1] |
|
AITD-01787 |
State |
状态 |
|
[1] |
|
AITD-01788 |
State Action Reward State Action |
SARSA算法 |
SARSA |
[1] |
|
AITD-01789 |
State Sequence |
状态序列 |
|
[1] |
|
AITD-01790 |
State Space |
状态空间 |
|
[1] |
|
AITD-01791 |
State Value Function |
状态值函数 |
|
[1] |
|
AITD-01792 |
State-Action Value Function |
状态-动作值函数 |
|
[1] |
|
AITD-01793 |
Statement |
声明 |
|
[1] |
|
AITD-01794 |
Static Computational Graph |
静态计算图 |
|
[1] |
|
AITD-01795 |
Static Game |
静态博弈 |
|
[1] |
|
AITD-01796 |
Stationary |
平稳的 |
|
[1] |
|
AITD-01797 |
Stationary Distribution |
平稳分布 |
|
[1] |
|
AITD-01798 |
Stationary Point |
驻点 |
|
[1] |
|
AITD-01799 |
Statistic Efficiency |
统计效率 |
|
[1] |
|
AITD-01800 |
Statistical Learning |
统计学习 |
|
[1][2] |
|
AITD-01801 |
Statistical Learning Theory |
统计学习理论 |
|
[1] |
|
AITD-01802 |
Statistical Machine Learning |
统计机器学习 |
|
[1] |
|
AITD-01803 |
Statistical Relational Learning |
统计关系学习 |
|
[1] |
|
AITD-01804 |
Statistical Simulation Method |
统计模拟方法 |
|
[1] |
|
AITD-01805 |
Statistics |
统计量 |
|
[1] |
|
AITD-01806 |
Status Feature Function |
状态特征函数 |
|
[1] |
|
AITD-01807 |
Steepest Descent |
最速下降法 |
|
[1] |
|
AITD-01808 |
Step Decay |
阶梯衰减 |
|
[1] |
|
AITD-01809 |
Stochastic |
随机 |
|
[1] |
|
AITD-01810 |
Stochastic Curriculum |
随机课程 |
|
[1] |
|
AITD-01811 |
Stochastic Dynamical System |
随机动力系统 |
|
[1] |
|
AITD-01812 |
Stochastic Gradient Ascent |
随机梯度上升 |
|
[1] |
|
AITD-01813 |
Stochastic Gradient Descent |
随机梯度下降 |
|
[1] |
|
AITD-01814 |
Stochastic Gradient Descent With Warm Restarts |
带热重启的随机梯度下降 |
SGDR |
[1] |
|
AITD-01815 |
Stochastic Matrix |
随机矩阵 |
|
[1] |
|
AITD-01816 |
Stochastic Maximum Likelihood |
随机最大似然 |
|
[1] |
|
AITD-01817 |
Stochastic Neighbor Embedding |
随机近邻嵌入 |
|
[1] |
|
AITD-01818 |
Stochastic Neural Network |
随机神经网络 |
SNN |
[1] |
|
AITD-01819 |
Stochastic Policy |
随机性策略 |
|
[1] |
|
AITD-01820 |
Stochastic Process |
随机过程 |
|
[1] |
|
AITD-01821 |
Stop Words |
停用词 |
|
[1] |
|
AITD-01822 |
Stratified Sampling |
分层采样 |
|
[1] |
|
AITD-01823 |
Stream |
流 |
|
[1] |
|
AITD-01824 |
Stride |
步幅 |
|
[1] |
|
AITD-01825 |
String Kernel Function |
字符串核函数 |
|
[1] |
|
AITD-01826 |
Strong Classifier |
强分类器 |
|
[1] |
|
AITD-01827 |
Strong Duality |
强对偶性 |
|
[1] |
|
AITD-01828 |
Strongly Connected Graph |
强连通图 |
|
[1] |
|
AITD-01829 |
Strongly Learnable |
强可学习 |
|
[1] |
|
AITD-01830 |
Structural Risk |
结构风险 |
|
[1] |
|
AITD-01831 |
Structural Risk Minimization |
结构风险最小化 |
SRM |
[1] |
|
AITD-01832 |
Structure Learning |
结构学习 |
|
[1] |
|
AITD-01833 |
Structured Learning |
结构化学习 |
|
[1] |
|
AITD-01834 |
Structured Probabilistic Model |
结构化概率模型 |
|
[1] |
|
AITD-01835 |
Structured Variational Inference |
结构化变分推断 |
|
[1] |
|
AITD-01836 |
Student Network |
学生网络 |
|
[1] |
|
AITD-01837 |
Sub-Optimal |
次最优 |
|
[1] |
|
AITD-01838 |
Subatomic |
亚原子 |
|
[1] |
|
AITD-01839 |
Subsample |
子采样 |
|
[1] |
|
AITD-01840 |
Subsampling |
下采样 |
|
[1] |
|
AITD-01841 |
Subsampling Layer |
子采样层 |
|
[1] |
|
AITD-01842 |
Subset Evaluation |
子集评价 |
|
[1] |
|
AITD-01843 |
Subset Search |
子集搜索 |
|
[1] |
|
AITD-01844 |
Subspace |
子空间 |
|
[1] |
|
AITD-01845 |
Substitution |
置换 |
|
[1] |
|
AITD-01846 |
Successive Halving |
逐次减半 |
|
[1] |
|
AITD-01847 |
Sum Rule |
求和法则 |
|
[1] |
|
AITD-01848 |
Sum-Product |
和积 |
|
[1] |
|
AITD-01849 |
Sum-Product Network |
和-积网络 |
|
[1] |
|
AITD-01850 |
Super-Parent |
超父 |
|
[1] |
|
AITD-01851 |
Supervised |
监督 |
|
[1] |
|
AITD-01852 |
Supervised Learning |
监督学习 |
|
[1][2][3] |
机器学习 |
AITD-01853 |
Supervised Learning Algorithm |
监督学习算法 |
|
[1] |
|
AITD-01854 |
Supervised Model |
监督模型 |
|
[1] |
|
AITD-01855 |
Supervised Pretraining |
监督预训练 |
|
[1] |
|
AITD-01856 |
Support Vector |
支持向量 |
|
[1] |
统计、机器学习 |
AITD-01857 |
Support Vector Expansion |
支持向量展式 |
|
[1] |
|
AITD-01858 |
Support Vector Machine |
支持向量机 |
SVM |
[1][2][3][4] |
统计、机器学习 |
AITD-01859 |
Support Vector Regression |
支持向量回归 |
SVR |
[1][2][3] |
统计、机器学习 |
AITD-01860 |
Surrogat Loss |
替代损失 |
|
[1] |
|
AITD-01861 |
Surrogate Function |
替代函数 |
|
[1] |
|
AITD-01862 |
Surrogate Loss Function |
代理损失函数 |
|
[1] |
|
AITD-01863 |
Symbol |
符号 |
|
[1] |
|
AITD-01864 |
Symbolic Differentiation |
符号微分 |
|
[1] |
|
AITD-01865 |
Symbolic Learning |
符号学习 |
|
[1] |
|
AITD-01866 |
Symbolic Representation |
符号表示 |
|
[1] |
|
AITD-01867 |
Symbolism |
符号主义 |
|
[1] |
|
AITD-01868 |
Symmetric |
对称 |
|
[1] |
|
AITD-01869 |
Symmetric Matrix |
对称矩阵 |
|
[1] |
|
AITD-01870 |
Synonymy |
多词一义性 |
|
[1] |
|
AITD-01871 |
Synset |
同义词集 |
|
[1] |
|
AITD-01872 |
Synthetic Feature |
合成特征 |
|
[1] |
|
AITD-02436 |
Scaling |
缩放 |
|
[1] |
图像处理 |
AITD-02437 |
Simulation |
仿真 |
|
[1] |
|
AITD-02442 |
Sequence-Function |
序列-功能 |
|
[1] |
|