training sample的例句大全

That was preprocessing the training set and excluding the non-Relevance Vector with iterative estimation integrated by threshold factor and maximum reduction upper limit, then decreased the sample scale and reduced the training time.

使用阈值系数和约减最大上限结合迭代估计对训练样本的超参进行快速估计，从而去除训练集中大量的非相关向量，降低训练样本的规模，减少了训练时间。

So-called double sample training was training classifier using face and non-face samples. The required parameters were obtained in a cross-training method.

所谓双样本训练，就是分类器训练时采用人脸与非人脸两类样本，经多次交叉确认法训练得到所需参数。

This experiment was conducted with the88 teachers from the institute who went for the outward bound training as the experiment sample.

本研究对参加拓展训练的88名教师进行实验，实验采用组间设计和个体访谈。

The results indicated that the main models of initial training of P.E. teachers insist of apprentice training, on-spot teaching training, observation training, sample training, education-topic training, campus culture training, reading report training and research training and so on.

结论：体育教师入职教育模式有师徒式培训、教学现场培训、参观考察培训、先进典型培训、教育教学专题培训、校园文化培训、读书制度培训、调研式培训等。

Because the size of the uncertainty region is much less than that of the original sample set, the training burden of the neural networks is alleviated very much.

由于不确定区域样本数远远小于原始样本集的样本数，因此大大减轻了神经网络的训练负担，提高了训练的速度和效果。

Many concerns, however, arise in the current course offering, such as isolation of experiments, lack of hands-on training and focus exclusively on the stage of sample analysis, to name a few.

但目前的实验教学中存在很多问题，如实验内容孤立、学生缺乏实际操作训练、样品分析中只重视测定环节等。

Covering algorithm starting from geometric point of view, mappes the vector of input sample to the sphere of high-dimensional space, and cover each type of sample with areas as little as possible through training to form classification network model.

覆盖算法从几何的角度出发，把输入的样本向量映射到高维的空间球面上，并通过训练以尽可能少的领域覆盖各个类别形成分类网络模型。

thus, in order to develop the capability of generalization, the selection of network sample, expected training error and number of units in hidden layers of network is studied.

针对上述问题，以提高神经网络泛化能力为目的，对神经网络的训练样本、训练期望误差值和网络隐层单元数等的选取进行了研究。