In fact, a classifier is a more general concept, which includes data types and interfaces.
事实上，分类器是一个更为一般的概念，它包括数据类型和接口。
Any class in the underlying ontology can be used as a classifier; the same classifier can be used to classify multiple entities and an entity can be associated with multiple classifiers.
基础本体中的任何类都可以用作分类器；可以使用同一分类器来对多个实体进行分类，并且一个实体可以与多个分类器关联。
WNN can be seen as a classifier to distinguish the corrupted or uncorrupted pixels from others in both approaches.
在两种方案中，WNN都可以看作是一个区分污染与未污染像素的分类器。
The subclassification of noun takes a classifier as a form sign and can have different classifications with different layer levels.
名词的次分类以量词作为形式标志，可以分出层级不同的类别。
In statistical modeling, there are various algorithms to build a classifier, and each algorithm makes a different set of assumptions about the data.
在统计建模中，有很多分类器构建算法，每个算法构造一组不同的关于数据的假设集合。
From the perspective of bit plane correlation, this algorithm extracts features, USES support vector machine as a classifier to detect LSB matching.
算法从位平面相关性的角度出发提取特征值，使用支持向量机作为分类器，对LSB匹配算法进行隐写分析。
In statistical modeling, there are various algorithms to build a classifier, and each algorithm makes a different set of assumptions about the data.
为了获得最好的模型性能，挑选做出最合适假设的建模算法—而不只是选择你最熟悉那个算法，是很重要的。
Use the method of x2 statistic to extract texts characteristics after processing the text and then use cross cover algorithm to design a classifier.
为解决基于卡方统计量离散化方法在处理未知数据特性时的参数难确定问题，提出了一种基于粗糙集方法的自动离散化方法。
Eventually, the compatibility between the generated rules and patterns was used to construct a set of feature vectors, which were used to generate a classifier.
最后，通过计算规则和模式之间的兼容性指标来构造特征向量，构建支持向量机的分类器模型。
This paper, based on the theory and method of artificial nerve networks and fuzzy sets, puts forward a classifier model used for diagnosing the quasi-heath state.
利用人工神经网络与模糊集的理论和方法提出了诊断亚健康状态的一种分类器模型。
Adopts a classifier support vector machine which is a very good training algorithm, which can acquire very good generalization when the training datum are very few.
文中采用的分类器——支持向量机是一种能在训练样本数很少的情况下达到很好分类推广能力的学习算法。
Classification based on association (CBA) algorithm built a classifier based on the association rules, without considering the uncertainty in the classification problem.
关联规则分类器(CBA)利用关联规则来构造分类算法，但其没有考虑分类问题中的不确定性。
A pattern recognition problem is not only specified by a representation, but also by the set of examples given for training and evaluating a classifier in various stages.
模式识别问题不仅与表示方法有关，也跟用于在分类器设计各个阶段进行训练和测试的用例集有关。
Classification rules discovery is a procedure to construct a classifier through studying the training dataset. It is a very important part of data Mining and Knowledge discovery.
分类规则发现则是通过对训练样本数据集的学习构造分类规则的过程，是数据挖掘、知识发现的一个重要方面。
Attributes of each candidate enterprise could be regarded as a classifier, and the partner selection could be transformed into a classification issue with incomplete and uncertain information.
通过将备选企业的属性看作分类器，将伙伴选择问题转化为不完全、不确定性信息下的分类识别问题。
A classifier shows that while each of these steps is manual, the business analyst believes they are all potential areas for workflow to be applied.
分类器显示尽管每个步骤都是手工执行的，业务分析人员相信它们都是可以应用工作流的潜在区域。
A classifier shows that while each of these steps is manual, the business analyst believes they are all potential areas for workflow to be applied.
分类器显示尽管每个步骤都是手工执行的，业务分析人员相信它们都是可以应用工作流的潜在区域。
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