• How large is your training set?

    训练多大

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  • They can, however, be estimated from the training set.

    但是这些是可以通过训练估计求得。

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  • With regression, we can simply choose Use training set.

    对于回归我们可以简单地选择usetraining set

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  • The reduced training set is used to form the learning machines.

    该类学习机也是在少训练样本上构造的。

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  • It is completely characterized by kernel function and training set.

    支持向量机函数训练完全刻画

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  • Do I use the same idf from training set to perform cross validation?

    使用相同国防军训练进行交叉验证吗?

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  • According to this method, a random expanded training set is obtained.

    以此方法对样本进行有效扩充得到新的随机扩展训练集。

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  • But learning the training set well is not necessarily the best thing to do.

    但是学习训练表现良好并不一定好事。

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  • The training set is not needed in clustering but the accuracy is lower.

    聚类需要训练准确率低。

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  • The experimental data obtained were divided into training set and testing data.

    试验获取数据整理分为训练样本测试样本集。

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  • We've already talked a bit about the fact that algorithms may over-fit the training set.

    我们已经提到了一点有关算法可能会训练过拟合(over-fit)的细节。

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  • The training set of data will be memorized, making the network useless on new data sets.

    训练数据记忆而使在处理数据方面网络无用

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  • And the classifier's performance may be improved by filtering the samples in the training set.

    训练网页分类器时,对网页样本集进行有效地筛选可能改善分类器性能

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  • These inputs, often called the "training set", are the examples from which the agent tries to learn.

    这些输入通常被称作训练”(原文为training set,译者注),它们是Agent尝试学习的样本。

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  • Ensure that use training set is selected so we use the data set we just loaded to create our model.

    确保选中usetraining set以便我们使用载入的这个数据创建我们模型

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  • Use the class information of training set to build the model, and extract the feature benefit to classification.

    利用训练文档信息文本分类模型进行建模,提取对分类贡献较大特征

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  • Choose the file bmw-test.arff, which contains 1,500 records that were not in the training set we used to create the model.

    选择文件bmw - test . arff内含1,500条记录,而这些记录我们用来创建模型训练集中没有的。

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  • The neural net uses these to modify its weights, and it aims to match its classifications with the targets in the training set.

    神经网络这些调整权系数,目的使培训中的目标与其分类相匹配。

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  • The trials of orthogonal design were chosen as the training set of the BP-ANN, and forecasted the trails of the entire field.

    选取正交设计试验点作为反向传播人工神经网络的训练,实现对实验试验点预测并与实测的试验数据比较。

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  • If, for instance, you only have 20 samples, there's not much data to use for a training set and still leave a significant test set.

    比如现在仅仅只有20个样本对于训练有效测试集来说,没有太多数据

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  • In selecting vectors, the algorithm also USES the class label of training set and the judgment information of class mean vector.

    特征向量选择中,算法到了训练类别标签类别平均向量判别信息

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  • Moreover, as class density estimates cannot be derived for such a training set, class posterior probabilities cannot be estimated.

    更进一步地种类分布密度无法那样训练集中进行估计,种类的后验概率也无法估计出来。

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  • In 1960 a spirited animal lover with no scientific training set up camp in Tanganyika's Gombe Stream Game Reserve to observe chimpanzees.

    1960年,位没有接受过任何科学训练勇敢动物爱好者尼喀湖畔的贡贝野生动物保护区安营扎寨开始观察大猩猩。

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  • In 1960 a spirited animal lover with no scientific training set up camp in Tanganyika’s Gombe Stream Game Reserve to observe chimpanzees.

    1960年,一位英姿飒爽动物爱好者在坦尼喀(Tanganyika)的冈贝野生动物保护区(Gombe StreamGame Reserve)扎下了营地,虽然没有接受过任何科学训练,但她此行却是为了观察黑猩猩而来。

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  • Used the weather and sport training set and rules, an intelligent call center model with a fuzzy export sub-system module is realized.

    并针对天气运动模糊训练示例规则集,实现了个小型的带有模糊专家模块智能呼叫中心原型系统。

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  • A new SVM iterative algorithm is proposed, aiming at the problem that the speeds of learning and classifying are slow in large training set.

    针对SVM方法样本情况下学习分类速度问题提出了大样本情况下的一种新的SVM迭代训练算法

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  • Nevertheless, if you're in a bind for data, this can yield passable results with lower variance than simply using one test set and one training set.

    尽管如此比起只是简单使用测试训练集,这种方法可以产生比较低的差异,还算是一个可以说得过去的结果

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  • Decision tree algorithm is that the category knowledge of the training set is mined through built high precision and small-scale decision tree.

    决策算法通过构造精度小规模决策树采掘训练集中分类知识

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  • We select training sets and test sets in many different software releases and discuss the relation between training set and the prediction accuracy.

    通过采集通信软件不同发布版本的测试历史数据,讨论训练数据选择预测精度之间的关系。

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  • We select training sets and test sets in many different software releases and discuss the relation between training set and the prediction accuracy.

    通过采集通信软件不同发布版本的测试历史数据,讨论训练数据选择预测精度之间的关系。

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