The successful candidate will have a solid background in organizational work, advanced skill in shorthand and data processing, combined with at least two to three years of legal secretarial training.
成功的应聘者应具备扎实的组织工作背景，高级的速记和数据处理技能，以及至少两三年的法律秘书培训。
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。
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。
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。
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。
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。
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。
In order to solve the problem existing in training data sets, present Bayes algorithm is im - proved and an algorithm using unlabeled data to improve the capability of the classifier is proposed.
为了解决该方法存在的训练数据集问题，本文改进了现有的贝叶斯分类算法，提出了利用未标记数据提高贝叶斯分类器性能的方法。
Shen Jiaying and her team is planning to put up an aid site for children's psychology counselling. She is preparing the training data today.
申家颖那里打算在安县村子里开设社工关怀站，针对孩子心里给孩子们进行辅导，今天一直在准备培训资料。
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。
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。
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？
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。
This model adopted direct prediction method, so error accumulation effect was avoided. The training data set was real-time updated so that the model was always the newest.
该模式采用直接预报的方法，避免了误差累积效应；对训练集实时更新，以保证模式的不断更新；模式的输入比较简单，便于应用。
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。
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 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。
In the stage I, called as data preprocessing, the support vector machines for regression (SVMR) approach is used to filter out the outliers in the training data set.
第一阶段称为所谓的资料预先处理，即使用支援向量回归来找出训练资料集中的离异点并删除之。
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。
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。
This fuzzy system design method that uses a fuzzy rule to represent a cluster is then propsed so that a fuzzy classifier can be efficiently constructed to correctly classify the training data.
用这样一个模糊规则来表示分类的模糊系统，更加有效地构建了一个能对训练样本比较准确分类的模糊分类器。
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。
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。
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。
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。
Raw data preprocessing, the size of training data, as well as the size of input vectors have been studied separately, to find out the best parameter set of BP neural network prediction.
本文分别针对数据的预处理、训练数据集大小以及输入向量的大小分别进行了研究，以确定使用BP神经网络预测的一个最佳参数组合。
The learning of Bayesian Networks is an important tache, which combines training data with prior knowledge and model evaluation to acquire the structure hidden in data and parameters.
贝叶斯网络的学习是数据挖掘中非常重要的一个环节，是将先验知识和模型评价融入训练数据，获得数据中隐藏的拓扑结构和参数的过程。
The learning of Bayesian Networks is an important tache, which combines training data with prior knowledge and model evaluation to acquire the structure hidden in data and parameters.
贝叶斯网络的学习是数据挖掘中非常重要的一个环节，是将先验知识和模型评价融入训练数据，获得数据中隐藏的拓扑结构和参数的过程。
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