保留并更新培训数据和资料。
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 content of paper is to develop a athlete training data collection system.
课题的内容是针对运动员训练数据采集系统的开发。
The case table includes the training data that you will use to train the mining model.
事例表包括要用来为挖掘模型定型的定型数据。
It well matches the tree complexity to the training data and the misclassification rate bound.
它较好地匹配了树的复杂性和训练样本量及错分率界。
This node cannot be unchecked because the predicted entity must be included in the training data.
无法取消选取此节点，因为所预计的实体必须包括在培训数据中。
The data mining technology based on the rough set theory can be trained through the training data set.
基于粗糙集理论的数据挖掘技术，通过数据训练集所训练得到的算法模型能够有效用于疾病诊断。
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。
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。
Each user has at least 10 ratings in the training data, which were given by the user earlier than his validation ratings.
每个用户在训练集中至少有10个打分，这10个打分使用户在验证打分之前给出的。
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。
In this type of learning, the goal is not to maximize a utility function, but simply to find similarities in the training data.
这类学习类型的目标不是让效用函数最大化，而是找到训练数据中的近似点。
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。
Supervised learning is tasked with learning a function from labeled training data in order to predict the value of any valid input.
监管学习的任务是学习带标签的训练数据的功能，以便预测任何有效输入的值。
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。
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。
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。
This name must be used again in the Classification Workbench, where you have to choose a field that contains the document text of your training data.
在ClassificationWorkbench中选择包含训练数据文档文本的字段的地方，必须同样使用这个名称。
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。
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。
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。
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。
应用推荐