目前机助分类技术主要着眼于统计模式识别和基于知识的分类决策。
Now the computer_based classification techniques' study has been focusing on the statistical pattern recognition and the knowledge_based classification rule.
除了普通的建模规则与可评价的概念，方法必须基于中央的分类以及模型架构的知识。
Besides common modeling rules and a scalable notation, the approach must be based on a central taxonomy and knowledge of modular architecture.
在上述研究工作的基础上，实现了基于多扩展概念格的分类知识发现原型系统。
Based on the work stated above, a prototype system that can utilize multi-extending concept lattice classification knowledge discovery in database is implemented.
在用户建模中，采用用户属性对模板进行分类和匹配，并且基于领域知识体系结构定义模板的内容。
In user modeling, model stereotypes were classified and matched according to user properties and template contents would be defined based on domain knowledge architecture.
本文提出了一种基于知识的遥感图像模糊分类算法，在传统的模糊分类方法中加入了从GIS数据库中发现的知识，用它来辅助进行遥感图像分类。
In this paper, a knowledge-based fuzzy image classification method is proposed. In the method, knowledge discovery from GIS is introduced in to assist fuzzy image classification.
本文依据知识分类和学习策略等心理学理论，对基于网络环境的初中语文教学内容呈现策略进行了系统设计研究。
The thesis is according to the Knowledge Classification Theory and Learning strategies, and design the presenting tactics of the Chinese web-based curriculum content of junior middle school.
基于云模型的分类算法多采用云变换和泛概念树方法，存在分类结果与先验知识不一致的问题。
The classification based on cloud model always USES cloud transform and Pan-Concept-Tree, it brings on inconsistency between the result and prior knowledge.
基于知识对监督分类的结果做后处理，准确地提取了居民地和防护林草类型，并对分类结果进行了精度评估。
After supervised classification we extracted residential area and the grass of shelter belt based on knowledge discovery, finally we got the accuracy assessment reports.
基于解释的分类算法可纳入知识工程中启发式分类的范畴。
A classification algorithm based on explanation could be put into the category of heuristic classification in knowledge engineering.
此外，根据研究目标文章还详细设计了知识管理系统中的知识分类系统、基于活动理论的虚拟学习社区。
Besides, the dissertation also detailedly design the knowledge taxon system in knowledge management system and virtual learning community based on activity theory.
基于人工智能的信息内容的自动聚类、分类和文摘，以及深层次的“知识检索”为迎接这个挑战提供了新的支撑技术。
The technique of clustering, classification and abstracting based on AI, and so - called "Knowledge Indexing" technique, seemed as good approaches to solve such problems.
提出了基于分类树和模糊匹配的工艺知识资源检索方法。
PK searching method based on classification tree and illegibility matching are developed.
针对以上两种决策树特点，提出了基于知识粗糙度的混合变量决策树的构造方法，选择知识粗糙度较小的分类属性来构造决策树。
Aim to upwards points, in this paper, advance a knowledge roughness based approach to hybrid decision tree, select less knowledge roughness as tested attribute to construct decision tree.
在垃圾邮件分类和朴素贝叶斯算法研究的基础上，提出了基于用户知识的贝叶斯分类算法。
An user knowledge based na? Ve bayes classifier was proposed in order to conquer the problem that most of the E-mail is unstructured and need users decoding.
提出了基于知识发现和决策规则基础的盐碱地GIS和遥感分类的方法。
This paper presents the classification of saline soil method, based on knowledge discovery and decision supporting rule base systems using remotely sensed data and GIS.
讨论了基于粗糙集理论的分类知识发现中最大泛化规则的生成。
In this paper, the generation of maximally generalized rules in the course of classification knowledge discovery based on rough sets theory is discussed.
本体就是对概念和关系的描述，基于本体的文本分类就是基于知识层面和语义层次上的分类。
Ontology is a description between the conception and the relation. The document categorization based on ontology is based upon the level of knowledge and semantic relations categorization indeed.
学习领域知识的分类是基于科学实践层次的分类。
The classification of knowledge in domains of learning is based on the scientific practice of hierarchical categorization.
学习领域知识的分类是基于科学实践层次的分类。
The classification of knowledge in domains of learning is based on the scientific practice of hierarchical categorization.
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