训练数据（training data）：训练过程中用到的数据 训练样本（training sample）:训练用到的每个样本 训练集（training set）：训练样本组成的集合 假设（hypothesis）：学得模型对应了关于数据的某种潜在规则，...
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training sample set 训练样本集
Training Sample Selection 训练样本选取
Single Training Sample 单训练样本
one training sample 单训练样本
zero training sample 零训练样本
training sample sets 训练样本集
training sample quality 训练样本质量
Instead of batch input method, this algorithm adopted training sample input method, which could achieve online training of support vector.
该算法采用训练样本序列输入方式替代批量输入方式,能实现模型预警的高效性和时效性。
参考来源 - 基于STING与支持向量回归机的网络安全预警技术研究By factorial experiment and variance analysis,the detection test chooses recognition rate as the test indexes,and the training sample capacity,exposure time,target deformation as the factor A,B,C respectively.
检测试验则选择识别率为试验指标,以学习样本的容量、曝光时间、形变为ABC三个因素,通过析因试验和方差分析来进行检测和分析。
参考来源 - 基于图像处理的微生物检测系统·2,447,543篇论文数据，部分数据来源于NoteExpress
A training sample needs to be pure text, extracted from a sample document of the category in question.
训练样本应该是纯文本，是从涉及的目录的样本文档中提取出来的。
The classification accuracy was 89.6% for the training sample and 88.9% for the verifying sample.
训练样本的判别准确性为89.6%，校验样本的判别准确性为88.9%。
The model was trained with training sample aggregation. The maximum error between the forecasted and real value was 0.97%.
用训练样本集对网络训练后，检验样本的预测结果与实际值最大误差为0.97%。
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