That won't help us at all in predicting future unknowns, since it's perfectly suited only for our existing training data.
就预测未来的未知数而言，它根本帮不到我们，因它只适于我们现有的训练数据。
So far, a major theme in these machine learning articles has been having algorithms generalize from the training data rather than simply memorizing it.
到目前为止，众多有关机器学习的文章中一个重要的主题是利用算法对训练数据进行总结归纳，而不是简单的记忆。
Experimental results show that this method can improve the accuracy of the class with less training data under a high total accuracy.
实验结果表明，这种方法能在保证整体准确率较高的前提下，有效提高样本数较少类别的分类准确率。
The experimental results show that the proposed algorithm obtains significant accuracy improvement while requiring a much smaller set of RSS training data than previous methods.
实验结果表明，提出算法的定位精度明显高于传统定位算法，且大大降低了离线阶段数据采集的工作量。
SVM can not learn from large scale training data directly.
支持向量机不能直接对大规模的训练数据进行学习。
The adaptive detector does not require training data sequences.
该自适应多用户检测方法不需要发送训练序列。
The training data were acquired through the orthogonal experiment method, and the networks were trained.
通过正交试验，获取训练样本，并对网络进行了训练。
A method based on Riemannian metric to the classification problem with imbalanced training data was proposed.
本文提出一种基于黎曼度量的训练样本类不平衡问题的分类方法。
And, it would reduce manual operation greatly to label training data by converting extraction into classification.
另外，本文将抽取问题转化为分类问题，能很大程度减少用户标记训练数据集的工作量。
When both evidence and training data are fuzzy sets, the new method ACTS as a dual fuzzy weights of evidence method.
该方法可以处理训练层和证据层均为模糊集合的情况，被称为双重模糊证据权方法。
We either generalize towards a concept or infer a set of general rules that describe the qualities of the training data.
我们既可以从一个概念进行推广也可以从一组描述训练数据性质的一般性规则中进行推断。
The training data close to the hyperplane are extracted to form the improved learning machines by using linear clustering.
该类学习机利用线性聚类，提取距分类超平面较近的样本构造改进的学习机。
The paper uses thirteen groups of waterproof engineering cost as training data of BP network for expectation of new engineering.
本文采集了十三个防水分项工程的分包价格作为BP神经网络训练样本数据，对其单价进行预测。
There exists a basic assumption: the training data and test data are drawn from the same distribution and the same feature space.
其中有一个基本的假设条件：训练数据与测试数据来自相同的特征空间而且服从相同的概率分布。
Adaptive algorithm of speech detection based on statistical classification is presented to reduce the dependence of the training data.
该文针对统计分类语音算法对训练数据的依赖问题，提出自适应算法在线动态更新分类模型。
By reduction processing to the import space, this method adopts artificial neural network for data mining on the reduced training data.
通过属性约简技术对神经网络的输入属性空间进行约简，采用神经网络对约简后的数据进行挖掘。
Your analysis will focus on the impact of context representation and the features of training data on the quality of generated clusters.
你的分析重点是上下文表示方法和训练数据的特征对生成的类的质量的影响。
Because of the limitation of test and training data, the traditional fault tree analysis (FTA) method cannot provide accurate diagnosis.
由于试验数据和训练数据有限，传统的故障树分析难以对“卡管”事故原因及出现概率做出准确评价。
To analyze the impact of training data, train your system on spoken and written parts of the corpus separately, and also on their combination.
为了分析训练数据的影响，分别用语料中的口语和书面语训练你的系统，以及口语和书面语组合训练你的系统。
Using the training data, it explains the method of mining classification rules, and abecedarian experiment results validate its effectiveness.
通过训练数据的分析阐述了分类规则挖掘的方法，初步的实验结果验证了该方法的有效性。
From another point of view, if we have a lot of labeled training data under different distributions, it is wasteful to discard the data entirely.
从另外一个角度上看，如果我们有了大量的、在不同分布下的已标记的训练数据，完全丢弃这些数据也是非常浪费的。
On the basis of training data, the optimum model was obtained by genetic programming, and the accuracy of it was verified with the verifying data.
依据训练样本数据，经过遗传规划法求得最优预测模型，并用检验样本数据对所得的预测模型进行检验。
Controlling the building process by code, the system can quickly generate a new recognition model when the training data and dictionary has changed.
该系统通过代码控制整个构建过程，使其在更换新的训练数据和词典后能快速生成对应的识别模型。
This paper proposes a new algorithm using hidden Markov model for information extraction based on multiple templates due to the variety of training data.
针对训练数据来源的多样化，提出了基于多模板隐马尔可夫模型的文本信息抽取算法。
A method by means of neural networks for interval regression analysis hasbeen proposed on the assumption that the given training data are totally "good data".
在许多工程实践问题中，区间回归分析是处理区间数据的一个重要手段。文献中用神经网络实现的区间回归分析都假定给定的训练数据是无噪的。
The existing algorithms of network security situation prediction depended on the initial training data, and the objectivity of predicting results was insufficient.
现有网络安全态势预测算法对初始训练数据依赖性强，预测结果客观性差。
To analyze the impact of training data, train your system on spoken and written parts of the corpus separately, and also on their combination. Do you observe any difference?
为了分析训练资料的影响，分别用语料中的口语和书面语训练你的系统，同样也用口语和书面语组合，发现有什么不同吗？
This paper studies the speaker identification problem using support vector machine, and presents a SVM training method on large-scale training data according to the speech signal.
本文提出了用支持向量机来解决说话人辨认问题，结合语音信号的特点，解决了大数据量情况下支持向量机的训练问题。
The method was tested by 130 groups of production data from certain paper mill. Among them, the first 100 groups of learning data were training data and last 30 were testing data.
用某造纸厂化浆车间的130组实际生产数据对该方法进行了检验，其中前100组数据用于训练，后30组数据用于测试。
The method was tested by 130 groups of production data from certain paper mill. Among them, the first 100 groups of learning data were training data and last 30 were testing data.
用某造纸厂化浆车间的130组实际生产数据对该方法进行了检验，其中前100组数据用于训练，后30组数据用于测试。
应用推荐